Navigating Biomarker Conversations: Empowering Patient Understanding in Gastroesophageal Cancer

Towards better health conversations: Research insights on a “wayfinding” AI agent based on Gemini

14-protein plasma signature predicts lung cancer risk years before diagnosis and identifies candidates for preventive therapy

This article presents a scientific study identifying a 14-protein plasma signature that can predict lung cancer risk more than 5 years befor

Integrating multi-layer intratumor heterogeneity analysis to advance cancer immunotherapy

This article examines intratumor heterogeneity (ITH) as a multidimensional problem in cancer biology. It discusses how tumors consist of div

ProteinNetworkSight: A web platform for analyzing multi-feature biological data through interactive network visualization

ProteinNetworkSight is a user-friendly web platform designed to address a key bottleneck in systems biology: the challenge of simultaneously

Reinforcement Learning Environment for LLMs in Cancer Diagnosis from Pathology Slides

A developer from Aluna (YC S24) presents a reinforcement learning environment for large language models focused on cancer diagnosis. The env

UC San Diego AI Model Predicts Cancer Treatment Response from Tumor Genetics

UC San Diego researchers have developed an AI tool called iAtlas that can predict how a tumor will respond to treatment based solely on its