AACR: New platform uses machine learning to predict responses in patients with lung cancer

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...

A machine learning model that uses DNA methylation patterns may help identify the origin of cancers of unknown primary

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

How Nanoparticles and AI Can Potentially Help Detect Prostate Cancer and More

An exploration of how targeted nanoparticles and artificial intelligence algorithms combine to locate prostate cancer earlier ...
InfoQ

Deepfakes, Disinformation, and AI Content Are Taking Over the Internet

Shuman Ghosemajumder explains how generative AI has transformed from a creative curiosity into a high-scale tool for ...
University at Buffalo

UB and Roswell Park develop AI tool to assess lung cancer surgery complication risk

Multimodal model delivers personalized risk estimates and clinician-adjustable insights to support surgical decisions.
The Scientist

From Data to Discovery: AI’s Expanding Role in Cancer Research

At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...
Frontiers

NAM‑informed quantitative systems pharmacology: Advancing human‑relevant modeling for translational cancer immunotherapy

The field of cancer immunotherapy and immunology is rapidly reshaping modern oncology, yet the translational gap between mechanistic discoveries and durable ...