Using AI to improve cancer immunotherapy outcomes, via training from transcriptomes of 10,000 tumor samples, 33 cancer types @NatureMedicine

Programming the immunological properties of mRNA vaccines for cancer

AI-guided discovery identifies GPNMB as promising CAR T cell target for multiple cancers

Researchers developed an AI-driven framework for discovering CAR T cell therapy targets by integrating single-cell RNA sequencing data from

Contents | Science Translational Medicine 18, 855

Gemma-Based AI Model Identifies Potential Cancer Therapy Pathway Through Conditional Immune Amplification

Researchers used a new 27 billion parameter foundation model called C2S-Scale 27B, built on Google's Gemma family of open models, to discove

Pan-cancer AI atlas reveals diversity and spatial organization of tertiary lymphoid structures in tumors

Researchers built a pan-cancer atlas of tertiary lymphoid structures (TLSs) in human tumors, developing an AI-based framework to detect and

AI Advances in Drug Discovery: From Data Integration to Dual-Action Cancer Drug Design

The article discusses recent advancements in AI-driven drug discovery, highlighting two key developments: 1) Analytica 2026, an event focuse