Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. LHS Collaboratory (December 7, 2021 12:30pm) https://events.umich.edu/event/88230 88230-21651558@events.umich.edu Event Begins: Tuesday, December 7, 2021 12:30pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Julia Adler-Milstein, PhD
Professor of Medicine and Director of the Center for Clinical Informatics and Improvement Research (CLIIR)
University of California San Francisco

Interoperability is considered a key capability of a high-performing healthcare system and has been a top policy priority for more than a decade. Implementing interoperability is, however, a complex undertaking – requiring stakeholder coordination that tackles incentives, governance, technology, standards, and more. In this talk, Dr. Adler-Milstein will describe current approaches to interoperability and where we stand with respect to current levels of national adoption. She will then discuss the implications for Learning Health System efforts at different levels of scale.

]]>
Livestream / Virtual Wed, 13 Oct 2021 13:59:31 -0400 2021-12-07T12:30:00-05:00 2021-12-07T14:00:00-05:00 Off Campus Location Department of Learning Health Sciences Livestream / Virtual Collaboratory logo
Precision Health Seminar Series (December 9, 2021 11:30am) https://events.umich.edu/event/88799 88799-21657772@events.umich.edu Event Begins: Thursday, December 9, 2021 11:30am
Location: Off Campus Location
Organized By: Precision Health

What goes on behind the scenes when clinicians use these tools to provide evidence-based care? Our panel weighs in on what is important for clinicians to know and how confident they can be when using these tools. Our panelists also describe training necessary to use these tools effectively to support medical decisions.

The panel includes varied perspectives from: an engineer, a learner, a clinician, and an educator.

* Rada Mihalcea, PhD, Professor, Electrical Engineering & Computer Science, College of Engineering
* Erkin Otles, Medical Scientist Training Program Fellow (MD-PhD student)
* Max Spadafore, MD, Resident, Emergency Medicine
* Cornelius James, MD, Assistant Professor, Internal Medicine & Pediatrics

The panel will be moderated by Vicki Ellingrod, PharmD, Associate Research Dean and Professor, Pharmacy.

This webinar is the third in the Precision Health educational series "Demystifying the Data, Processes, and Tools that Are Changing Clinical Care." Visit the Precision Health website to see recordings of previous webinars: https://precisionhealth.umich.edu/.

]]>
Livestream / Virtual Thu, 11 Nov 2021 16:27:29 -0500 2021-12-09T11:30:00-05:00 2021-12-09T12:30:00-05:00 Off Campus Location Precision Health Livestream / Virtual Precision Health at U-M
Cancer Immunology: Exploring Potential Collaborations Between Michigan Medicine and PKUHSC (December 14, 2021 7:00am) https://events.umich.edu/event/89924 89924-21666482@events.umich.edu Event Begins: Tuesday, December 14, 2021 7:00am
Location: Off Campus Location
Organized By: UMMS Global REACH

Leaders of the Joint Institute collaboration between Michigan Medicine and Peking University Health Science Center have identified cancer as a research priority for future collaboration. With participants logging in from Beijing and Ann Arbor, this panel discussion will explore the respective strengths of each institution, as well as opportunities for future joint research to ultimately benefit patients in both settings.

The virtual session will be moderated by Max Wicha, MD, Madeline and Sidney Forbes Professor of Oncology and Director of the Forbes Institute for Cancer Discovery, and Ning Zhang, PhD, Professor at Peking University First Hospital and Associate Director at Peking University International Cancer Institute.

]]>
Livestream / Virtual Thu, 09 Dec 2021 10:03:44 -0500 2021-12-14T07:00:00-05:00 2021-12-14T08:30:00-05:00 Off Campus Location UMMS Global REACH Livestream / Virtual Event Panelists
LHS Collaboratory (January 18, 2022 12:00pm) https://events.umich.edu/event/89940 89940-21666535@events.umich.edu Event Begins: Tuesday, January 18, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

This presentation will explore how Big Data Science and Informatics research can overcome deficiencies within the electronic health record and optimize real world data collection. We will discuss examples of how standardized nomenclature integrated into clinical workflow can enable statistical AI methods to advance clinical decision support and improve outcome models. Our successes in radiation oncology come from single multi-institutional, multi-national and multi-professional society collaboration.

Presenters:
Charles Mayo, PhD
Professor
Director of Radiation Oncology Informatics and Analytics
Department of Radiation Oncology
University of Michigan Medical School

Michelle Mierzwa, MD
Associate Professor
Associate Chair of Clinical Research
Co-Chair of Head and Neck Clinical Trials
Department of Radiation Oncology
University of Michigan Medical School

]]>
Lecture / Discussion Tue, 11 Jan 2022 15:56:37 -0500 2022-01-18T12:00:00-05:00 2022-01-18T13:30:00-05:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion Collaboratory logo
Precision Health Jan. 2022 Webinar (January 27, 2022 1:30pm) https://events.umich.edu/event/90512 90512-21671208@events.umich.edu Event Begins: Thursday, January 27, 2022 1:30pm
Location: Off Campus Location
Organized By: Precision Health

Join us for a frank discussion about the law and ethics of health research that relies on artificial intelligence and machine learning, and the impact it can have on treatment and perpetuation of health disparities. We’ll discuss legal and ethical issues related to biased algorithms, liability, regulation, data ownership, and responsible use of health data.

Incorporating perspectives from a computational social scientist (Abigail Jacobs, Assistant Professor of Complex Systems and Information, LSA) and a legal scholar with expertise in the responsible use of big data (Nicholson Price, Professor of Law), this webinar will provoke thought and provide important information to help clinicians and data scientists continue their research while also working to improve care and reduce health disparities.

The event will be moderated by Vicki Ellingrod, PharmD, Associate Research Dean and Professor of Pharmacy.

This webinar is the fourth in the Precision Health educational series: "Demystifying the Data, Processes, and Tools that Are Changing Clinical Care."

*Please use @umich.edu (NOT @med.umich.edu) email to register.*

]]>
Workshop / Seminar Wed, 05 Jan 2022 15:28:21 -0500 2022-01-27T13:30:00-05:00 2022-01-27T14:30:00-05:00 Off Campus Location Precision Health Workshop / Seminar Ethical/legal considerations for precision health AI and ML
Precision Health Feb. 2022 Webinar (February 10, 2022 12:30pm) https://events.umich.edu/event/90513 90513-21671209@events.umich.edu Event Begins: Thursday, February 10, 2022 12:30pm
Location: Off Campus Location
Organized By: Precision Health

Join us for a unique look into data and resources that can accelerate health research and improve clinical care, and concrete examples of how data has provided unprecedented insight into treatment and predicting outcomes. Erin Kaleba, MPH, Director of the Data Office for Clinical and Translational Research, will review the landscape of rich resources available to U-M clinicians and researchers and recent enhancements that greatly simplify access. Brahmajee Nallamothu, MD, MPH, Professor of Internal Medicine - Cardiovascular Diseases and Co-Director of Precision Health, will share real-life case studies of how these resources have improved clinical care and will continue to benefit patients.

This webinar is the fifth in the Precision Health educational series: "Demystifying the Data, Processes, and Tools that Are Changing Clinical Care."

*Please use @umich.edu (NOT @med.umich.edu) email to register.*

]]>
Workshop / Seminar Wed, 05 Jan 2022 16:12:27 -0500 2022-02-10T12:30:00-05:00 2022-02-10T13:30:00-05:00 Off Campus Location Precision Health Workshop / Seminar How clinicians can benefit from precision health tools
Weekly Seminar for DCMB / CCMB (February 23, 2022 4:00pm) https://events.umich.edu/event/92060 92060-21686457@events.umich.edu Event Begins: Wednesday, February 23, 2022 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract:

In the Peixoto lab we use genomic approaches to understand gene expression and its epigenetic regulation in response to learning and sleep deprivation, and its alteration in autism spectrum disorders. This requires combining behavioral paradigms in mice, molecular biology and the analysis of high-throughput data in the brain in vivo. It also requires using the right data analysis tools to be able to capture the effect of learning or sleep in the context of an ever-active brain. In this talk we will discuss the effects of learning on chromatin accessibility and the effects of sleep loss in gene expression, with an emphasis on how data analysis influences our ability to detect novel and reproducible biology.

Short bio:

Lucia Peixoto received her bachelor’s degree in Biochemistry from the Universidad de la Republica in her native Uruguay in 2002. She subsequently earned her Ph.D. at The University of Pennsylvania under the mentorship of Dr. David S. Roos, using genomic and computational biology approaches to understand host-pathogen interactions. She completed her postdoctoral training in Neuroscience with Dr. Ted Abel at The University of Pennsylvania in 2015. During her fellowship, she was also a trainee at the Training Program in Neurodevelopmental disabilities at the Children’s Hospital of Philadelphia. As a trainee at CHOP, she completed a clinical internship at the Center for Autism Research under the supervision of Dr. Robert Schultz. She became an Assistant Professor at Washington State University in 2015 and has since been recognized with a K01 Early Career Faculty award from NIH/NINDS and a pilot award from the Simons Foundation Autism Research Initiative. She is also a member of the board of directors of the International Society of computational biology (ISCB) and cochair the Equity, Diversity and Inclusion committee of ISCB. Her lab uses behavior, electrophysiology, molecular biology and genomic approaches to understand how sleep and learning modulate transcription and how this may be altered in Autism Spectrum Disorders.

Zoom livestream link: https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

]]>
Workshop / Seminar Mon, 07 Feb 2022 14:54:44 -0500 2022-02-23T16:00:00-05:00 2022-02-23T17:00:00-05:00 Off Campus Location DCMB Seminar Series Workshop / Seminar
LHS Collaboratory (February 24, 2022 12:00pm) https://events.umich.edu/event/90079 90079-21667713@events.umich.edu Event Begins: Thursday, February 24, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

The session will describe the landscape history, current status, and future of federated health data networks that are used to support a Learning Health System. Dr. Brown will describe the creation, infrastructure, operation, and uses of several networks from the perspective of a network coordinating center. Dr. Harris will describe insights from participating in multiple networks as a network partner, including infrastructure, governance, and operational lessons learned.

Presenters:
Jeffrey Brown, PhD
Dr. Brown is the inventor of PopMedNet, an open-source software platform that facilitates creation and operation of distributed health data networks.

Marcelline Harris, Ph.D., RN, FACMI
Associate Professor Emerita
Department of Systems, Populations and Leadership
University of Michigan School of Nursing

]]>
Lecture / Discussion Sat, 29 Jan 2022 11:26:41 -0500 2022-02-24T12:00:00-05:00 2022-02-24T13:30:00-05:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion Collaboratory logo
EMERSE Meeting Series (March 3, 2022 2:00pm) https://events.umich.edu/event/91855 91855-21683557@events.umich.edu Event Begins: Thursday, March 3, 2022 2:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Unstructured clinical data, such as clinical notes and reports, along with the computational infrastructure and tools, have seen an increasing demand from the research community in the last years, mostly fueled by recent advances in statistical and machine-learning approaches to data insight. We are meeting this demand with the Information Commons – a research data platform that hosts and provides direct access to de-identified data, advanced analytics tools, and computational environments for our research community. 

While we are realizing access to de-identified electronic health records, images, omics and biobank data, this session highlights the progress made to provide more than 110 million de-identified notes to the research community. We developed and operationalized a fully automatic de-identification algorithm and implemented EMERSE, a user-friendly tool for non-programmatic access and sophisticated textual searches on the de-identified clinical notes.   

As of December 2021 Our de-identification algorithm and our clinical notes are certified de-identified and are currently available for the UCSF researchers with IRD. The presentation covers the entire pipeline from data extraction to publication and data access focusing on the secured computational infrastructure. Furthermore, we discuss the rigorous evaluation techniques to ensure the quality of the deidentification process and the resulting data according to HIPAA and UCSF Security and Privacy protection requirements. Lastly, we showcase highlights from our research collaborations enabled by this new resource of machine-redacted, unstructured clinical notes linked with de-identified structured EHR data using EMERSE and their impact on the research community.

Speakers:
Eric Meeks
Chief Technology Officer, CTSI @University of California, San Francisco

Lakshmi Radhakrishnan
Data Scientist @University of California, San Francisco

]]>
Lecture / Discussion Wed, 02 Feb 2022 09:28:30 -0500 2022-03-03T14:00:00-05:00 2022-03-03T15:00:00-05:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion EMERSE logo
Data Science in Health Disparities Research Symposium (March 11, 2022 9:00am) https://events.umich.edu/event/91976 91976-21684826@events.umich.edu Event Begins: Friday, March 11, 2022 9:00am
Location: Palmer Commons
Organized By: DCMB Seminar Series

Additional speakers on the topics of:

How data science can be used to understand racial health disparities

How data science with biased data exacerbates health disparities

Lunch and discussion sessions following the talks.

]]>
Workshop / Seminar Mon, 07 Feb 2022 10:37:38 -0500 2022-03-11T09:00:00-05:00 2022-03-11T15:00:00-05:00 Palmer Commons DCMB Seminar Series Workshop / Seminar
2022 Precision Health Symposium (March 16, 2022 8:00am) https://events.umich.edu/event/91836 91836-21683225@events.umich.edu Event Begins: Wednesday, March 16, 2022 8:00am
Location: North Campus Research Complex Building 18
Organized By: Precision Health

Join us for a half-day, in-person event (with remote option) that will focus on the transformative impact artificial intelligence and machine learning are having on precision healthcare. Attendees will hear from thought leaders, researchers, and practitioners who will guide the conversation from big picture concepts, to the importance of applying new research tools responsibly and inclusively, to the need for integrating new methods and inclusivity considerations into training for clinicians, researchers, and other learners.

Keynote Speaker: Bob Wachter

Featured Speakers: Akbar Waljee, Lionel Robert, Jodyn Platt

]]>
Workshop / Seminar Mon, 07 Mar 2022 16:32:48 -0500 2022-03-16T08:00:00-04:00 2022-03-16T12:00:00-04:00 North Campus Research Complex Building 18 Precision Health Workshop / Seminar Precision Health Symposium
LHS Collaboratory (March 22, 2022 12:00pm) https://events.umich.edu/event/90095 90095-21667763@events.umich.edu Event Begins: Tuesday, March 22, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Presentation 1: PCORNet and the PaTH subnetwork

Kathleen McTigue, MD, MPH, MS

In this talk, Kathleen McTigue describes the vision of PCORNet, its organization, and its value to the field of clinical research. PCORNet is divided into regional subnetworks one of which is PaTH. The organization of PaTH along with its priories will be discussed.

Presentation 2: UM’s site within PCORNet/PaTH

David Williams, PhD

The University of Michigan is an institutional member of PaTH/PCORNet.
In this talk, David Williams describes the organization and processes of the UM site within PCORNet/PaTH, studies in which UM participates, and resources for UM investigators interested in participating in PCORNet studies.

]]>
Lecture / Discussion Wed, 15 Dec 2021 22:38:45 -0500 2022-03-22T12:00:00-04:00 2022-03-22T13:30:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion Collaboratory logo
DCMB / CCMB Weekly Seminar presents Rehan Akbani, PhD (Associate Professor, University of Texas, MD Anderson Cancer Center) (March 30, 2022 4:00pm) https://events.umich.edu/event/93933 93933-21711327@events.umich.edu Event Begins: Wednesday, March 30, 2022 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract:

The TP53 tumor suppressor gene is frequently mutated in human cancers. We illustrate the “omics” landscape of the TP53 pathway across five data platforms in 10,225 patient samples from 33 cancers reported by The Cancer Genome Atlas (TCGA). More than 91% of TP53-mutant cancers exhibit second allele loss by mutation, chromosomal deletion, or copy-neutral loss of heterozygosity. TP53 mutations are associated with enhanced chromosomal instability, including increased amplification of oncogenes and deep deletion of tumor suppressor genes. Tumors with TP53 mutations differ from their non-mutated counterparts in RNA, miRNA, and protein expression patterns, with mutant TP53 tumors displaying enhanced expression of cell cycle progression genes and proteins. A mutant TP53 RNA expression signature shows significant correlation with reduced survival in 11 cancer types. Pathway activity scores were computed for all the samples using mRNA expression levels of ten TP53 pathway member genes. Gynecologic cancers show high activity of the pathway. The pathway is correlated with immune infiltration and EMT, and anti-correlated with RTK and RAS/MAPK pathways. In particular, a strong correlation with immune infiltration is observed in breast cancer. ATAC-seq data also show high chromatin accessibility of the pathway genes in breast cancer. Thus, the TP53 pathway has profound effects on tumor cell genomic structure, expression, and clinical outlook depending on tumor type.

Short Bio
Dr. Rehan Akbani is an Associate Professor at the University of Texas MD Anderson Cancer Center in Houston, Texas, in the Department of Bioinformatics and Computational Biology. He has worked at MD Anderson since 2009. He has played many leadership roles in major enterprises, including as PI on TCGA’s MD Anderson Genome Data Analysis Center (GDAC) grant. Within the TCGA consortium, he led four of TCGA’s analysis working groups and he’s been a co-author on each one of TCGA’s 33 marker papers and 27 pan-cancer papers since 2009. His primary contributions have been leading the analysis of proteomics data, and batch effects and quality control of omics data. He won the AACR “Team Science Award” in 2020 for his work in TCGA. He was conferred the “Highly Cited Researchers 2019” award by Web of Science for co-authoring the most highly cited papers in the past decade. He has over 87,700 citations and an h-index of 78 on Google Scholar. In 2014, he won the “Test of Time” award from the European Conference on Machine Learning (ECML) for publishing the most highly cited paper in ECML a decade ago. Currently, Dr. Akbani is the Co-Director of MD Anderson’s proteomics core and Co-Director of the metabolomics core, where he’s led the development of software pipelines for normalizing raw data and generating customer reports semi-automatically. He’s also contributed proteomics data analysis for projects including the Cancer Cell Line Encyclopedia (CCLE) and the MD Anderson Cell Line Project (MCLP).

Host: Veera Baladandayuthapani, Ph.D.
https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

]]>
Lecture / Discussion Thu, 24 Mar 2022 12:32:18 -0400 2022-03-30T16:00:00-04:00 2022-03-30T17:00:00-04:00 Off Campus Location DCMB Seminar Series Lecture / Discussion Rehan Akbani, PhD (Associate Professor, University of TX MD Anderson Cancer Center)
2022 Investigators Awards Launch Event (April 7, 2022 10:00am) https://events.umich.edu/event/92973 92973-21698652@events.umich.edu Event Begins: Thursday, April 7, 2022 10:00am
Location: Off Campus Location
Organized By: Precision Health

Join us for a lively, fast-paced series of presentations (3 minutes each!) by our most recently funded project PIs. Hear what exciting challenges they're taking on and see how multidisciplinary teams are working together to improve health.

After these presentations, we will open breakout rooms to invite your ideas on the following topics:
Tackling Health Disparities through Precision Health
New Advances in Health Image Analysis
Using Genetic Information to Individualize Patient Care
Reinforcement Learning & Causal Inference in Healthcare
Learning from Multi-institution EHR data Opportunities to Enhance Data Sharing and Collaboration
What's missing from Precision Health resources?

The launching projects include:
Anouck Girard (COE), Josephine Kasa-Vubu (Med), Michael DiPietro (Med) -- "Using Artificial Intelligence To Broaden and Diversify Outdated Standards for the Determination of Skeletal Maturation in Growing Children"

Todd Hollon (COE), Honglak Lee (COE), Sandra Camelo-Piragua (Med) -- "Rapid Intraoperative Molecular Diagnosis of Diffuse Gliomas Using Stimulated Raman Histology and Deep Neural Networks"

Hui Jiang (SPH) -- "Statistical and Computational Methods for Asymmetric Integration of Datasets from Different Cancers for the Identification of Cancer-related Genes and Biomarkers in Case-control Analyses"

Michael Mathis (Med) -- "Predicting Cardiac Surgery-Associated Acute Kidney Injury using Federated Learning"

Amy Pasternak (Pharm), Vaibhav Sahai (Med) -- "Assessing the Impact of Germline Pharmacogenetics (PGx) on Medication Outcomes and Clinician Prescribing Decisions in Patients with Cancer"

Scott Peltier (BME), Zhongming Liu (BME) -- "Deep Learning for Prediction of Mild Cognitive Impairment and Dementia of the Alzheimer’s Type"

Xu Shi (SPH) -- "Automated Harmonization of Multi-institutional Electronic Health Records Data"


Questions? Contact Tina Creguer, tcreguer@umich.edu.

]]>
Presentation Thu, 03 Mar 2022 16:52:49 -0500 2022-04-07T10:00:00-04:00 2022-04-07T11:30:00-04:00 Off Campus Location Precision Health Presentation Precision Health Investigators Awards
LHS Collaboratory (April 19, 2022 11:00am) https://events.umich.edu/event/93101 93101-21700618@events.umich.edu Event Begins: Tuesday, April 19, 2022 11:00am
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Presentation 1:
Medical AI - Three Common Myths on the Path from Code to Clinic
Alan Karthikesalingam, MD, PhD
Research Lead, Google Health UK at Google

In this talk, Alan Karthikesalingam will discuss lessons learned in Google's experiences of taking medical AI systems from early research to clinical implementation.

Presentation 2:
Medical AI - Raising the Bar on Evidence Standards
Xiao Liu, MBChB, PhD(link is external)
Ophthalmologist and Clinical Researcher
University Hospitals Birmingham NHS Foundation Trust University of Birmingham, UK

In this talk, Xiao Liu will discuss existing and new clinical evidence standards as applied to medical AI systems. Her talk will focus on recently published standards to ensure transparency and reproducibility of clinical evidence underpinning medical AI systems, including reporting guidelines such as SPIRIT-AI and CONSORT-AI.

]]>
Lecture / Discussion Tue, 08 Mar 2022 00:04:28 -0500 2022-04-19T11:00:00-04:00 2022-04-19T12:30:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion Collaboratory logo
Glenn V. Edmonson Lecture & 2022 Biomedical Engineering Symposium (May 18, 2022 10:00am) https://events.umich.edu/event/94970 94970-21788170@events.umich.edu Event Begins: Wednesday, May 18, 2022 10:00am
Location: Palmer Commons
Organized By: Biomedical Engineering

The Inaugural Glenn V. Edmonson Lecture and 2022 Biomedical Engineering Symposium are intended to build the BME community across campus and honor the legacy of the first graduate chair of the Biomedical Engineering program. These events will provide a forum for BME faculty and students campus-wide along with our collaborators to present current research progress and discuss future research opportunities at the interface of engineering and medicine.

The events will take place on Wednesday, May 18th, from 10:00 AM - 5:00 PM at Palmer Commons (4th Floor). Please RSVP by Friday, May 6th, 2022.

RSVP Link: https://forms.gle/QB7kS8UnQftWrZaX9

Schedule:
10:00 AM - 10:15 AM Welcome and Introduction from BME Interim Chair, Mary-Ann Mycek Ph.D., and Symposium Chairs, Rhima Coleman, Ph.D., and Tim Bruns, Ph.D.

10:15 AM - 11:05 AM Cell and In vitro
Sue Brooks Herzog, Ph.D.
Sherman Fan, Ph.D.
Geeta Mehta, Ph.D.

11:05 AM - 11:15 AM Break

11:15 AM - 12:05 PM In Vivo
Jiande Chen, Ph.D.
Megan Killian, Ph.D.
Cindy Chestek, Ph.D.

12:05 PM - 1:00 PM LUNCH BREAK - with Poster Viewing

1:00 PM - 1:50 PM Computational
Indika Rajapakse, Ph.D.
David Nordsletten, Ph.D.
Ellen Arruda, Ph.D.

1:50 PM - 2:00 PM Break

2:00 PM - 2:50 PM Clinical / Human Subjects
Susan Shore, Ph.D.
Jon-Fredrik Nielsen, Ph.D.
David Zopf, M.D., M.S.

2:50 PM - 3:00 PM Break

3:00 PM – 4:15 PM Glenn V. Edmonson Lecture
Paul Cederna, M.D. FACS

4:15 PM - 5:00 PM POSTER SESSION and Reception

]]>
Conference / Symposium Wed, 04 May 2022 14:01:07 -0400 2022-05-18T10:00:00-04:00 2022-05-18T17:00:00-04:00 Palmer Commons Biomedical Engineering Conference / Symposium BME Symposium
LHS Collaboratory (June 21, 2022 12:00pm) https://events.umich.edu/event/95245 95245-21789057@events.umich.edu Event Begins: Tuesday, June 21, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

"Restructuring health systems for learning: Building equity into the Learning Health System"
Learn more about ELSI-LHS (Ethical, Legal, and Social Implications of Learning Health Systems). The session will be moderated by, Jody E. Platt, MPH, PhD, Assistant Professor of Learning Health Sciences.

Speaker:
Lauren A. Taylor, PhD, MDiv, MPH
Assistant Professor
Department of Population Health
Division of Medical Ethics
NYU Grossman School of Medicine

]]>
Lecture / Discussion Wed, 25 May 2022 00:20:49 -0400 2022-06-21T12:00:00-04:00 2022-06-21T13:00:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion LHS Collaboratory logo
DCMB Weekly Seminar (September 21, 2022 4:00pm) https://events.umich.edu/event/98815 98815-21797218@events.umich.edu Event Begins: Wednesday, September 21, 2022 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

Abstract:
The intersect between the life sciences (cells, tissues, organs) and engineered materials (polymers, biomacromolecules, semiconductors) is crucial for a wide range of medical and biotechnological applications. Hence, the precise control of biotic/abiotic interfaces has been one of the main obstacles of past decades. The Lahann Lab designs polymers for a range of different medical applications. In particular, we have developed a class of protein nanoparticles for targeting of glioblastoma. In addition, I will summarize our efforts related to sheet-like 3D organoid systems and will address recent advances with morphologically designed interfaces.

Research Interests:
Designer surfaces, advanced polymers, biomimetic materials, microfluidic devices, engineered microenvironments, nano-scale self-assembly.

Joerg Lahann’s research is broadly related to surface engineering with strong ties to biomedical engineering and nanotechnology. His research on reversibly switching surfaces was featured in an article in Science (J. Lahann, et al., A Reversibly Switching Surface, January 17, 2003, 299, 371-374.) These “smart surfaces” can reversibly switch properties in response to an external stimulus. To demonstrate these findings, a surface design was developed that can be changed from water-attracting to water-repelling with the application of a weak electric field. Designed as a switch, single-layered molecular-level machines are aligned on a surface using self-assembly and then are flipped between defined microscopic states. This type of surface design may offer a new paradigm for interfacial engineering as it amplifies reversible conformational transitions at a molecular level to macroscopic changes in surface properties without altering the chemical identity of the surface.

Joerg has also developed a novel class of polymers with potential for biomimetic and spatially directed surface engineering. This “reactive coating” technology uses chemical vapor deposition (CVD) polymerization to deposit a wide range of chemical signatures on various substrate materials. Its simplicity in providing chemically reactive groups and its applicability to three-dimensional geometries (e.g., for microfluidics) enables the exact tailoring of surface properties and the preparation of biologically relevant microenvironments. Reactive coatings are compatible with soft lithographic processes, allowing for patterning of proteins, DNA, cytokines, and mammalian cells.

]]>
Lecture / Discussion Thu, 15 Sep 2022 11:36:52 -0400 2022-09-21T16:00:00-04:00 2022-09-21T17:00:00-04:00 Palmer Commons DCMB Seminar Series Lecture / Discussion (Protein pattern deposited on a polymer surface, artistic rendering, credit: Bahar Dadfar)
LHS Collaboratory (September 22, 2022 12:00pm) https://events.umich.edu/event/96027 96027-21791723@events.umich.edu Event Begins: Thursday, September 22, 2022 12:00pm
Location: Palmer Commons
Organized By: Department of Learning Health Sciences

LHS Collaboratory Kickoff Poster Session Showcasing LHS Work at the University of Michigan

]]>
Lecture / Discussion Tue, 12 Jul 2022 10:55:57 -0400 2022-09-22T12:00:00-04:00 2022-09-22T14:00:00-04:00 Palmer Commons Department of Learning Health Sciences Lecture / Discussion LHS Collaboratory logo
MGI 10th Anniversary Symposium (September 30, 2022 11:00am) https://events.umich.edu/event/97825 97825-21795204@events.umich.edu Event Begins: Friday, September 30, 2022 11:00am
Location: School of Public Health Bldg I and Crossroads and Tower
Organized By: Precision Health

At this free, in-person event, present and future users of Michigan Genomics Initiative (MGI) data can meet fellow MGI researchers and learn about the breadth and scope of ongoing MGI-supported research. We will present an overview of the available data resources to support your research, teaching, or grant writing, and explain how to access and use these resources. We will discuss our near-term and long-term goals and hope to get your input to shape our priorities.

Professor Goncalo Abecasis, D.Phil., will deliver a keynote address, and six MGI researchers will discuss their experience and highlight projects that benefited from MGI data.

Lunch will be provided, to give present and future MGI researchers, students, and postdocs the opportunity to network.

The one-day symposium will run from 11 am to 5 pm on Friday, September 30.

Attendance is free for registered participants.

Please RSVP By September 21.

]]>
Conference / Symposium Fri, 02 Sep 2022 13:03:43 -0400 2022-09-30T11:00:00-04:00 2022-09-30T17:00:00-04:00 School of Public Health Bldg I and Crossroads and Tower Precision Health Conference / Symposium Keynote Speaker Goncalo Abecasis
DCMB / CCMB Weekly Seminar (October 5, 2022 4:00pm) https://events.umich.edu/event/99751 99751-21798643@events.umich.edu Event Begins: Wednesday, October 5, 2022 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

Abstract:

Accurately predicting the onset of disease is a major challenge in clinical medicine because the genesis of diseases is generally a complex and dynamic process. Wearable sensor technologies provide an unprecedented opportunity to collect physiological data at orders of magnitude higher high time-resolution than conventional clinical practice. This provides unprecedented opportunities for investigating the dynamics of disease processes and may usher in a new era of real-time, personalized medicine. We have proposed the potential of real-time, continuously measured physiological data as a non-invasive, “digital biomarker” approach for detecting the earliest stages in transition to a disease state. In this talk, I will describe an example of our interdisciplinary team’s work on this topic that uses the early detection and possible prediction of febrile (i.e., fever-associated) adverse events in cancer events as an important application.

Clinical Interests
Prostate Cancer, General Oncology, Biomarkers in Oncology
Research Interests
• Biology of circulating, extracellular nucleic acids and translational applications
• Developing next generation approaches for early detection and monitoring of cancer
• Bioinformatics and computational biology, high-throughput sequencing
• New technologies to enable cancer detection and monitoring

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

]]>
Lecture / Discussion Mon, 03 Oct 2022 15:21:48 -0400 2022-10-05T16:00:00-04:00 2022-10-05T17:00:00-04:00 Palmer Commons DCMB Seminar Series Lecture / Discussion Muneesh Tewari, MD, PhD
EMERSE Meeting Series (October 11, 2022 1:00pm) https://events.umich.edu/event/98192 98192-21795695@events.umich.edu Event Begins: Tuesday, October 11, 2022 1:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Speaker:
Mark Beno, MSM
Executive Director, Cleveland Institute for Computational Biology,
School of Medicine, Case Western Reserve University

The Electronic Medical Record Search Engine (EMERSE) was installed at University Hospitals of Cleveland (UH) in 2021 by the Cleveland Institute for Computational Biology (CICB), a collaboration between Case Western Reserve University (CWRU) and UH.  At present, EMERSE contains indexed medical notes from 2018 through present for over 1.7 million UH patients.  This presentation will discuss the strategies we employed to successfully install EMERSE, the lessons-learned in rolling out EMERSE to research and operational teams, some research success stories since EMERSE adoption, and the additional tools we have developed as add-ons to the EMERSE application that we use internally for tracking EMERSE metrics and plan to share with the broader EMERSE community.

]]>
Lecture / Discussion Tue, 06 Sep 2022 23:35:08 -0400 2022-10-11T13:00:00-04:00 2022-10-11T14:00:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion EMERSE logo
DCMB / CCMB Weekly Seminar (October 12, 2022 4:00pm) https://events.umich.edu/event/99377 99377-21797973@events.umich.edu Event Begins: Wednesday, October 12, 2022 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

Abstract:

Our current understanding of how genes are regulated is akin to solving a jigsaw puzzle. Many factors governing gene expression have been identified, and researchers have collected a wide variety of related datasets. However, how these "parts" are pieced together to function as a whole remains unclear. In this talk, I will discuss our research to develop and apply state-of-the-art machine learning methods to genomics datasets to attempt to put together the pieces from the data. I will cover our work using deep learning architecture that captures the data's underlying structure to integrate datasets and connect them to gene expression via the prediction task. We also interpret the prediction results and tie them back to contributing factors to develop potential hypotheses related to gene regulation. I will then move from bulk data to the single-cell data domain and discuss methods to perform unsupervised integration of different types of single-cell experiments. This talk aims to highlight our research direction's potential to reveal the important gene regulatory mechanisms in characterizing cell types and diseases from the collected data.

Bio:

Ritambhara Singh is an Assistant Professor in the Computer Science department and a faculty member of the Center for Computational Molecular Biology at Brown University. Her research lab works at the intersection of machine learning and biology. Prior to joining Brown, Singh was a post-doctoral researcher in the Noble Lab at the University of Washington. She completed her Ph.D. in 2018 from the University of Virginia with Dr. Yanjun Qi as her advisor. Her research has involved developing machine learning algorithms for the analysis of biological data as well as applying deep learning models to novel biological and biomedical applications. She recently received the NHGRI Genomic Innovator Award for developing deep learning methods to integrate and model genomics datasets. URL: https://vivo.brown.edu/display/rsingh47

]]>
Lecture / Discussion Tue, 27 Sep 2022 09:32:07 -0400 2022-10-12T16:00:00-04:00 2022-10-12T17:00:00-04:00 Palmer Commons DCMB Seminar Series Lecture / Discussion Ritambhara Singh, Asst. Professor (Brown University)
DCMB / CCMB Weekly Seminar (October 19, 2022 4:00pm) https://events.umich.edu/event/99817 99817-21798751@events.umich.edu Event Begins: Wednesday, October 19, 2022 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

Abstract:
Genome-wide association studies (GWAS) successfully identified more than a hundred genomic regions that contribute to schizophrenia risk. However, extracting biological mechanisms from GWAS is a challenge, because the majority of common risk variants reside in noncoding regions of the genome. In this talk, I will outline how high-resolution 3D maps of chromatin contacts in the human brain permit large-scale annotation of non-coding variants. In particular, I will introduce a novel platform that my lab has developed, Hi-C-coupled MAGMA (H-MAGMA), that annotates GWAS by incorporating chromatin interaction profiles from human brain tissue. While H-MAGMA identified neurobiologically relevant target genes for psychiatric disorders, application of H-MAGMA to schizophrenia GWAS identified thousands of genes to be associated with schizophrenia, necessitating the need for refining variants. To this end, we performed a massively parallel reporter assay (MPRA) on schizophrenia risk variants, from which we detected 440 variants with allelic regulatory activity. Characterization of these functional regulatory variants provided previously unknown regulatory principles of schizophrenia.

Short bio:
Hyejung Won is an Assistant Professor in the Department of Genetics and Neuroscience Center at the University of North Carolina at Chapel Hill. She received her B.S. and Ph.D. in Biology from Korea Advanced Institute of Science and Technology (KAIST), where she conducted research revealing the underlying mechanism of neurodevelopmental conditions using genetically modified mice under the supervision of Dr. Eunjoon Kim. She then joined Dr. Dan Geschwind’s group at UCLA, where she established Hi-C, a genome-wide chromosome conformation capture technology, and generated chromatin interaction profiles from the developing and adult human brain. Her lab leverages the genomics approach to bridge the gap between genetic risk factors and neurobiological mechanisms by mapping genetic variants of unknown function to the genes that they regulate, and identifying how dysfunctional gene regulation contributes to disease pathogenesis. Hyejung is the recipient of the NIH Director’s New Innovator Award, HHMI Gilliam Fellowship, NIH Pathway to Independence Award, and a NARSAD Young Investigator Award. She is also an active participant of the Impact of Genomic Variation on Function (IGVF) and PsychENCODE consortia.

Zoom link: https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

]]>
Lecture / Discussion Tue, 04 Oct 2022 13:40:56 -0400 2022-10-19T16:00:00-04:00 2022-10-19T17:00:00-04:00 Palmer Commons DCMB Seminar Series Lecture / Discussion Hyejung Won, PhD
LHS Collaboratory (October 20, 2022 12:00pm) https://events.umich.edu/event/96028 96028-21791725@events.umich.edu Event Begins: Thursday, October 20, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Speakers:
Alex John London, PhD
Professor of Ethics and Philosophy
Director of the Center for Ethics and Policy at Carnegie Mellon University
Explainability Is Not the Solution to Structural Challenges to AI in Medicine

Explainability is often treated as a necessary condition for ethical applications of artificial intelligence (AI) in Medicine. In this brief talk I survey some of the structural challenges facing the development and deployment of effective AI systems in health care to illustrate some of the limitations to explainability in addressing these challenges. This talk builds on prior work (London 2019, 2022) to illustrate how ambitions for AI in health care likely require significant changes to key aspects of health systems.

Melissa McCradden, PhD, MHSc
Director of AI in Medicine
The Hospital for Sick Children
On the Inextricability of Explainability from Ethics: Explainable AI does not Ethical AI Make

Explainability is embedded into a plethora of legal, professional, and regulatory guidelines as it is often presumed that an ethical use of AI will require explainable algorithms. There is considerable controversy, however, as to whether post hoc explanations are computationally reliable, their value for decision-making, and the relational implications of their use in shared decision-making. This talk will explore the literature across these domains and argue that while post hoc explainability may be a reasonable technical goal, it should not be offered status as a moral standard by which AI use is judged to be ‘ethical.’

]]>
Livestream / Virtual Sat, 01 Oct 2022 17:10:43 -0400 2022-10-20T12:00:00-04:00 2022-10-20T13:30:00-04:00 Off Campus Location Department of Learning Health Sciences Livestream / Virtual LHS Collaboratory logo
Rock, Paper, Scissors: The oral microbiome at the intersection of genotypic, anthropogenic and systemic factors (October 20, 2022 12:00pm) https://events.umich.edu/event/99963 99963-21798941@events.umich.edu Event Begins: Thursday, October 20, 2022 12:00pm
Location: Dental & W.K. Kellogg Institute
Organized By: Office of Research School of Dentistry

As a dual-trained periodontist and microbial ecologist, I use my clinical skills and training in ‘-omics’ research to investigate the myriad ways in which the human microbiome can be harnessed to promote health. I firmly believe that oral health and systemic diseases are intricately connected, and that global health can only be achieved when physicians and dentists collaborate to identify at-risk individuals and deliver integrated care.

]]>
Lecture / Discussion Fri, 07 Oct 2022 10:59:44 -0400 2022-10-20T12:00:00-04:00 2022-10-20T13:00:00-04:00 Dental & W.K. Kellogg Institute Office of Research School of Dentistry Lecture / Discussion Purnima Kumar, DDS, PhD
Immunity at the oral mucosal barrier surface (October 27, 2022 12:00pm) https://events.umich.edu/event/99907 99907-21798867@events.umich.edu Event Begins: Thursday, October 27, 2022 12:00pm
Location: Off Campus Location
Organized By: Office of Research School of Dentistry

My research has been focused on oral mucosal immunity with an emphasis on aberrant inflammatory conditions of
the oral cavity. Over the past decade I have established an independent research program at the NIH aimed at
understanding the molecular and cellular basis of oral immunity in health and in the common inflammatory disease,
periodontitis. In health, the oral immune system maintains a delicate balance with a rich and diverse community of
oral commensals, performing immune surveillance while preventing inflammation. Understanding mechanisms
involved in susceptibility and pathogenesis of periodontitis is not only critical for understanding the disease itself,
but may provide insights into shared mechanisms involved in inflammatory diseases. In periodontitis, the
microbiome is considered a key disease trigger, but it is also well documented that disease occurs and progresses
more rapidly in susceptible individuals. Our studies are focused on host/microbe interactions preserving health and
mediating inflammatory disease in the oral cavity. Ultimately, we aim to define key pathways involved in
susceptibility and progression of aggressive forms of periodontitis with the goal of identifying therapeutic targets.
Our program implements a bench to bedside approach for the study of periodontal immunity and is particularly
focused on the regulation of Th17 immunity in health and periodontitis. Our studies leverage the diverse strengths
of the NIH intramural environment and interrogate mechanisms involved in human oral immunity through the study
of patients with monogenic immune disorders, supplemented by relevant animal models and novel immunologic
techniques for the study of tissue immunity.

]]>
Livestream / Virtual Thu, 06 Oct 2022 10:23:15 -0400 2022-10-27T12:00:00-04:00 2022-10-27T13:00:00-04:00 Off Campus Location Office of Research School of Dentistry Livestream / Virtual Niki M. Moutsopoulos, DDS, PhD Chief, Oral Immunity and Infection Unit National Institute of Dental and Craniofacial Research National Institutes of Health
Department of Computational Medicine & Bioinformatics -- Weekly Seminar (November 2, 2022 4:00pm) https://events.umich.edu/event/100730 100730-21800294@events.umich.edu Event Begins: Wednesday, November 2, 2022 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

Abstract:

Graph representation learning leverages knowledge, geometry, and structure to develop powerful machine learning methods. First, I will introduce Shepherd, a graph neural network for personalized diagnosis of patients with rare genetic diseases. Diagnostic delay is pervasive in patients with rare genetic conditions. It can lead to numerous problems, including redundant testing and unnecessary procedures, delays in obtaining disease-appropriate management and therapies, and even irreversible disease progression. Shepherd uses knowledge-guided geometric deep learning to gather information from different parts of a knowledge graph and logically connect a patient's clinical-genomic information to the region in the knowledge graph relevant to diagnosis. Evaluation of patients from the Undiagnosed Diseases Network shows that Shepherd accurately identifies causal disease genes, finds other patients with the same causal gene and disease, and provides interpretable characterizations of novel diseases. Second, I will describe applications of graph neural networks in drug discovery. These are available through Therapeutics Data Commons (https://tdcommons.ai), an initiative to access and evaluate AI capability across therapeutic modalities and stages of drug discovery. The Commons supports the development of machine learning methods, with a strong bent towards developing the foundations for which methods are most suitable for drug discovery and why.

Short Bio:
Marinka Zitnik (https://zitniklab.hms.harvard.edu) is an Assistant Professor at Harvard University with appointments in the Department of Biomedical Informatics, Broad Institute of MIT and Harvard, and Harvard Data Science. Dr. Zitnik has published extensively in top ML venues and leading scientific journals. She has organized conferences and workshops in graph representation learning, drug discovery, and precision medicine at leading conferences (NeurIPS, ICLR, ICML, ISMB, AAAI, WWW), where she is also on the organizing committees. She is an ELLIS Scholar in the European Laboratory for Learning and Intelligent Systems (ELLIS) Society and a member of the Science Working Group at NASA Space Biology. Her research won paper and research awards from the International Society for Computational Biology, Bayer Early Excellence in Science, Amazon Faculty Research, Roche Alliance with Distinguished Scientists, Rising Star Award in Electrical Engineering and Computer Science, and Next Generation in Biomedicine Recognition, being the only young scientist with such recognition in both EECS and Biomedicine. She co-founded Therapeutics Data Commons and also AI for Science community initiative. https://zitniklab.hms.harvard.edu/zitnik-bio170.txt

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

]]>
Livestream / Virtual Wed, 26 Oct 2022 15:15:31 -0400 2022-11-02T16:00:00-04:00 2022-11-02T17:00:00-04:00 Palmer Commons DCMB Seminar Series Livestream / Virtual Marinka Zitnik, PhD (Assistant Prof. of Biomedical Informatics at HMS)
LHS Collaboratory (November 8, 2022 12:00pm) https://events.umich.edu/event/96029 96029-21791726@events.umich.edu Event Begins: Tuesday, November 8, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

LHS Collaboratory November Session

Speaker:

Kadija Ferryman, PhD
Assistant Professor
Johns Hopkins Bloomberg School of Public Health

In this talk, Professor Ferryman will discuss the merits and challenges of conducting health equity reviews of artificial intelligence (AI) tools used in health and medicine. The talk will examine how interdisciplinary approaches from the social sciences, bioethics and humanities, and computational fields can be involved in the development of concepts, methods, frameworks, and guidelines for understanding and governing digital health tools.

Dr. Kadija Ferryman is a cultural anthropologist who studies the social, cultural, and ethical implications of health information technologies. Specifically, her research examines how genomics, digital medical records, artificial intelligence, and other technologies impact racial disparities in health. As a Postdoctoral Scholar at the Data & Society Research Institute in New York, she led the Fairness in Precision Medicine research study, which examines the potential for bias and discrimination in predictive precision medicine.

She earned a BA in Anthropology from Yale University, and a PhD in Anthropology from The New School for Social Research. Before completing her PhD, she was a policy researcher at the Urban Institute where she studied how housing and neighborhoods impact well-being, specifically the effects of public housing redevelopment on children, families, and older adults.

]]>
Livestream / Virtual Thu, 06 Oct 2022 17:39:25 -0400 2022-11-08T12:00:00-05:00 2022-11-08T13:00:00-05:00 Off Campus Location Department of Learning Health Sciences Livestream / Virtual LHS Collaboratory logo
DCMB / CCMB Seminar (November 9, 2022 4:00pm) https://events.umich.edu/event/101047 101047-21800725@events.umich.edu Event Begins: Wednesday, November 9, 2022 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

Talk Title:
From variants to functions for coronary artery disease: Systematic Perturb-seq links GWAS loci to disease programs in endothelial cells

Abstract:
Abstract: Genome-wide association studies (GWAS) have discovered >200 associations for coronary artery disease (CAD), each of which could point to genes and pathways that influence disease risk. It is thought that a fraction of these CAD risk loci influences the functions of endothelial cells, and that genes in multiple GWAS loci might act together in certain pathways. Yet, identifying these genes and pathways has proven challenging: each GWAS locus can have 2-20 candidate genes, a gene may participate in one or more pathways in a given cell type, and it remains unclear which genes and pathways would be likely to influence disease risk. I will present our work to address this challenge by developing a Variant-to-Gene-to-Program (V2G2P) framework to study the role of endothelial cells in coronary artery disease, involving building a Variant-to-Gene map with ABC and a Gene-to-Program map with systematic Perturb-seq. Our study nominates new genes that likely influence risk for CAD, identifies convergence of CAD risk loci into certain gene programs in endothelial cells, and demonstrates a generalizable strategy to catalog gene programs to connect disease variants to functions.

Zoom link:
https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

]]>
Livestream / Virtual Thu, 03 Nov 2022 14:17:51 -0400 2022-11-09T16:00:00-05:00 2022-11-09T17:00:00-05:00 Palmer Commons DCMB Seminar Series Livestream / Virtual Jesse Engreitz, PhD (Asst. Prof., Dept. of Genetics, Stanford)
Biofabrication Strategies for the Regeneration of Cartilage and Bone (November 14, 2022 12:00pm) https://events.umich.edu/event/100632 100632-21800164@events.umich.edu Event Begins: Monday, November 14, 2022 12:00pm
Location: Dental & W.K. Kellogg Institute
Organized By: Office of Research School of Dentistry

Professor in Biofabrication and Regenerative Medicine
Head of Research, Department of Orthopedics, University Medical Center Utrecht
Department of Clinical Sciences, Faculty of Veterinary Medicine
Regenerative Medicine Center Utrecht, Utrecht, The Netherlands

]]>
Presentation Mon, 24 Oct 2022 12:22:01 -0400 2022-11-14T12:00:00-05:00 2022-11-14T13:00:00-05:00 Dental & W.K. Kellogg Institute Office of Research School of Dentistry Presentation Jos Malda, PhD