{ "148170-21903180": { "datetime_modified":"20260508T091859", "datetime_start":"20260512T093000", "datetime_end":"20260512T103000", "has_end_time":1, "date_start":"2026-05-12", "date_end":"2026-05-12", "time_start":"09:30:00", "time_end":"10:30:00", "time_zone":"America\/Detroit", "event_title":"SCSAP Special Research Seminar", "occurrence_title":"", "combined_title":"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", "event_subtitle":"\"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", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"SCSAP Special Research Seminar\nDate: Tuesday, May 12th, 2026\nTime: 9:30-10:30 AM EST\nLocation: Virtual ONLY\n\nTITLE: Working toward cancer care in 2030 : AI+X for Precision Medicine 2.0, Population Health, Aging and Global Health Impact\n\nFEATURING: Joe Poh Sheng YEONG, MBBS, PhD, FRCPath, IMCB (A*STAR) and Singapore General Hospital\n\nCancer 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.\n\nIn 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.\nI 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 \u201cdark\u201d proteins involved in cancer progression. 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