Agentic AI

5 full parent sessions + 3 AT02 per-speaker slices, ~67,000 words, ~8 hours of video. 57 poster abstracts, ~23,000 words.

Sessions covering AI agents, autonomous scientific discovery, pathology foundation models in agentic pipelines, and large language models for cancer-research reasoning.

Sessions

Session	Date	Words	Transcript
AI in Biomarker Discovery and Drug Development	Sat 4/18 12:30 PM	12,941	read
AI Revolution in Cancer Research	Mon 4/20 8:00 AM	15,915	read
Spatial Transcriptomics & Pathology AI	Mon 4/20 PM	12,615	read
AT02: Agentic AI as the Cancer Researcher	Tue 4/21 2:30 PM	12,831	read
Agentic AI as the Oncologist	Wed 4/22	12,023	read

The AT02 session has additional per-speaker transcript slices in transcripts/agentic-ai/at02-per-speaker/ (not rendered on this site — available in the GitHub repo).

Posters — 57 abstracts

Harvested via a phrase-quoted keyword union ("agentic AI", "AI agent", "multi-agent", "agent-based", "agentic workflow", "large language model"). 102 unique Ids → 57 after Activity + PlayerUrl filter. 18 of these are from the core "Agentic AI in Cancer" session (the AT02 poster track, Apr 19); the remaining 39 are adjacent posters from "Large Language Models in the Clinic", Project GENIE AI sessions, bioinformatics computational sessions, and late-breaking tracks.