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DTSTAMP:20261027T130831
DTSTART;TZID=America/Detroit:20261104T160000
DTEND;TZID=America/Detroit:20261104T170000
SUMMARY:Workshop / Seminar:CCMB/DCMB Weekly Bioinformatics Seminar Series featuring Peter Toogood\, PhD (Research Associate Professor and Director of Michigan Drug Discovery (MDD))
DESCRIPTION:High throughput screening (HTS) is a common starting point for small molecule drug discovery campaigns\, especially when the biological target is new. HTS is commonly conducted in the wet lab (e.g. the U-M Center for Chemical Genomics)\, but also can be conducted in silico. These \"virtual screens\" are either structure-based\, requiring a knowledge of the 3D structure of the biological target\, or ligand-based\, in which case having multiple overlapping ligands makes it easier to define the feature set that new ligands must match. In this talk\, I will describe several applications of artificial intelligence/machine learning to virtual screening in our projects seeking to identify new starting points for cancer drug discovery. In so doing\, I will trace the evolution of these methods over the last decade from crude attempts at generative design to the application of frontier models like Claude Science.
UID:154152-21917289@events.umich.edu
URL:https://events.umich.edu/event/154152
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Artificial Intelligence,Basic Science,Bioinformatics,Drug Discovery,Gen Ai,Machine Learning
LOCATION:Medical Science Unit I - 4B700
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20261001T140744
DTSTART;TZID=America/Detroit:20261105T120000
DTEND;TZID=America/Detroit:20261105T130000
SUMMARY:Workshop / Seminar:DCMB Tools and Technology Seminar by Binh Duong Giap (Ophthalmology & Visual Sciences)
DESCRIPTION:Join us for the DCMB Tools & Technology Seminar Series featuring a presentation by Binh Duong Giap from the Department of Ophthalmology & Visual Sciences. Enjoy a complimentary pizza lunch while learning about innovative research and cutting-edge tools.\n\n“Advancing Cataract Surgery Analytics with AI: Pupil Segmentation and Surgical Skill Metrics”\n\nAbstract:  \nThe growing availability of surgical video data creates opportunities to develop computational tools for automated analysis of surgical procedures. In cataract surgery\, quantitative analysis of intraoperative videos can support research\, surgical training\, and objective assessment of surgical performance. However\, extracting reliable visual features from surgical videos remains challenging due to instrument occlusion\, lighting variations\, and complex surgical motion.\n\nIn this seminar\, I will present a computational framework for automated analysis of cataract surgery videos. First\, I introduce tensor-based feature extraction methods for robust pupil recognition and segmentation during surgery. These methods enable reliable detection of pupil structures under challenging intraoperative conditions. I will also present CatSkill\, an AI-based system that analyzes surgical videos to derive quantitative metrics for assessing surgical skill. Together\, these approaches demonstrate how computer vision and machine learning can enable objective analysis of surgical videos and support the development of data-driven tools for ophthalmic surgery.
UID:153174-21915255@events.umich.edu
URL:https://events.umich.edu/event/153174
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Basic Science,Bioinformatics,Biology,Life Science
LOCATION:Medical Science Unit I - 4B700
CONTACT:
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