Presented By: Single Cell Spatial Analysis Program (SCSAP)
SCSAP Special Research Seminar
"Working toward cancer care in 2030 : AI+X for Precision Medicine 2.0, Population Health, Aging and Global Health Impact", Joe Poh Sheng YEONG, IMCB (A*STAR) and Singapore General Hospital
SCSAP Special Research Seminar
Date: Tuesday, May 12th, 2026
Time: 9:30-10:30 AM EST
Location: Virtual ONLY
TITLE: Working toward cancer care in 2030 : AI+X for Precision Medicine 2.0, Population Health, Aging and Global Health Impact
FEATURING: Joe Poh Sheng YEONG, MBBS, PhD, FRCPath, IMCB (A*STAR) and Singapore General Hospital
Cancer clinical trials face major recruitment challenges, with delays in patient matching contributing to high failure rates and billions in annual losses. Immune profiling technologies such as immunohistochemistry (IHC) and multiplex IHC are essential for biomarker discovery and precision oncology, but their widespread use is limited by cost, tissue scarcity, and labor-intensive workflows.
In this talk, I will discuss how AI-driven spatial biology approaches, including our H&E 2.0 platform, can accelerate patient triage and biomarker screening for clinical trial recruitment. As combination immunotherapies and antibody-drug conjugates expand, scalable and cost-effective biomarker testing is becoming increasingly important for drug development and clinical decision-making.
I will also highlight advances in spatial proteogenomics from our recent Nature cover study (April 2025), demonstrating how integrated spatial proteomics, genomics, and transcriptomics can reveal tumor heterogeneity, immune interactions, and noncanonical “dark” proteins involved in cancer progression. By combining AI with longitudinal population-scale data, we developed predictive models capable of forecasting critical illness years in advance.
Finally, I will introduce an AI-powered “pseudo-time” framework aimed at supporting more timely, accessible, and value-based precision medicine worldwide.
Date: Tuesday, May 12th, 2026
Time: 9:30-10:30 AM EST
Location: Virtual ONLY
TITLE: Working toward cancer care in 2030 : AI+X for Precision Medicine 2.0, Population Health, Aging and Global Health Impact
FEATURING: Joe Poh Sheng YEONG, MBBS, PhD, FRCPath, IMCB (A*STAR) and Singapore General Hospital
Cancer clinical trials face major recruitment challenges, with delays in patient matching contributing to high failure rates and billions in annual losses. Immune profiling technologies such as immunohistochemistry (IHC) and multiplex IHC are essential for biomarker discovery and precision oncology, but their widespread use is limited by cost, tissue scarcity, and labor-intensive workflows.
In this talk, I will discuss how AI-driven spatial biology approaches, including our H&E 2.0 platform, can accelerate patient triage and biomarker screening for clinical trial recruitment. As combination immunotherapies and antibody-drug conjugates expand, scalable and cost-effective biomarker testing is becoming increasingly important for drug development and clinical decision-making.
I will also highlight advances in spatial proteogenomics from our recent Nature cover study (April 2025), demonstrating how integrated spatial proteomics, genomics, and transcriptomics can reveal tumor heterogeneity, immune interactions, and noncanonical “dark” proteins involved in cancer progression. By combining AI with longitudinal population-scale data, we developed predictive models capable of forecasting critical illness years in advance.
Finally, I will introduce an AI-powered “pseudo-time” framework aimed at supporting more timely, accessible, and value-based precision medicine worldwide.
Related Links
Livestream Information
ZoomMay 12, 2026 (Tuesday) 9:30am
Meeting ID: 93359354513
Meeting Password: 816151
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