Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare decisions, regardless of technological improvements or funding.

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

In the past decade, AI’s success has led to uncurbed enthusiasm and bold claims – even though users frequently experience its ...

Guardant co-CEO Helmy Eltoukhy says the shift to personalized treatment and earlier diagnosis is here at the WIRED Health ...

Formula 1 teams live in a world where a single misjudged flick of carbon fiber can decide a championship. Aerodynamicists are ...

The human brain is often compared to a computer, but the latest wave of research shows it is closer to a self-building city, ...

AI is making medical tools better at spotting diseases and looking at scans, helping doctors make faster, more accurate calls ...

The future of clinical development hinges on viewing biological systems holistically. By integrating diverse molecular data ...

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

Scientists discovered that aging DNA repeats expand at wildly different speeds—and in some people, the consequences can be devastating. A sweeping genetic study drawing on data from more than 900,000 ...

Among the most famous demonstrations of genetic mutations driving infection outcome is severe combined immunodeficiency (SCID ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...