Standard genetic tests miss the complex networks of DNA variants that cause multiple diseases in the same family, but a new topological AI approach could change how we find them.
A new multi-task AI model predicts two critical gastric cancer immunotherapy biomarkers from routine biopsy slides, but its real-world drop in accuracy highlights a persistent industry bottleneck.
A new deep learning tool outperforms traditional genomic tests in predicting breast cancer recurrence, using nothing more than standard tissue slides and basic clinical data.
The federal push to let artificial intelligence diagnose patients and prescribe drugs without human oversight is moving from policy debate to active clinical deployment.