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

Mendelian randomization (MR) is transforming how scientists uncover causal links in health research by using genetic variants as natural experiments. Recent advances are tackling challenges like rare ...

A novel study has revealed a link between extreme weather and the risk of cardiovascular disease among middle-aged and older ...

Nutritional epidemiology faces challenges like recall bias and confounding. Advances in AI, image recognition, and ...

This Clinical Nutrition opinion paper argues that nutrition research should stop asking whether a food is simply “healthy” ...

A study from Columbia University Mailman School of Public Health reports a major advance in understanding how interactions ...

A study from Columbia University Mailman School of Public Health reports a major advance in understanding how interactions between human and viral ...

A study from Columbia University  reports a major advance in understanding how interactions between human and viral genomes shape disease risk. The research found that variations in the Epstein–Barr ...

Data science leader to advance Valo’s leading human causal biology platform for drug discoveryLEXINGTON, Mass.--(BUSINESS ...

Causality-Benchmark is a library developed by IBM Research Haifa for benchmarking algorithms that estimate the causal effect of a treatment on some outcome. The framework includes unlabeled data, ...

This workshop offers a hands-on introduction for social scientists seeking to apply causal inference methods to observational and secondary data. Following a recap of foundational concepts of causal ...