Tagged articles

perturbation prediction

2 articles · Page 1 of 1
Data Party THU
Data Party THU
Oct 24, 2026 · Artificial Intelligence

Do We Really Know What Biomedical Foundation Models Have Learned? Benchmarking Challenges Revealed

A Nature Methods paper argues current leaderboard-style benchmarks fail to capture true generalization of biomedical foundation models, advocating perturbation-based tests, ablation studies, and a community-driven ecosystem (BEACON) to evaluate mechanistic understanding beyond single-task scores.

BEACON consortiumBenchmarkingGeneralization
0 likes · 7 min read
Do We Really Know What Biomedical Foundation Models Have Learned? Benchmarking Challenges Revealed
HyperAI Super Neural
HyperAI Super Neural
Nov 10, 2025 · Artificial Intelligence

Columbia & Stanford Launch Squidiff: Diffusion Model for Transcriptome Simulation

Squidiff, a conditional diffusion framework co‑developed by Columbia and Stanford, predicts transcriptional responses across cell differentiation, gene and drug perturbations, and radiation exposure, outperforming prior models and enabling more precise and spatially aware biomedical research.

AI for BiologySingle-Cell TranscriptomicsSquidiff
0 likes · 16 min read
Columbia & Stanford Launch Squidiff: Diffusion Model for Transcriptome Simulation