The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...

A deep learning platform may help predict how people with advanced lung cancer will respond to immunotherapy, according to study results.Patients determined by a biology-guided AI model to be at high ...

Of 372 patients studied, 79.3% and 20.7% were in the completion group and the non-completion group, respectively. The final BERT model achieved average F1 scores of 0.91 and 0.98 for time to ...

Development and Validation of an Artificial Intelligence Digital Pathology Biomarker to Predict Benefit of Long-Term Hormonal Therapy and Radiotherapy in Men With High-Risk Prostate Cancer Across ...

A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...

Introduction In an era where data breaches and cyber threats are on the rise, organizations are seeking advanced solutions to ...

Accurate detection of PIK3CA mutations is essential for personalizing breast cancer treatment, particularly with ...

Brian Spears and colleagues built a generative machine learning model that was used to successfully predict the outcome of a recent fusion ignition experiment at the U.S. National Ignition Facility ...

Consumer wearables have become everyday tools for monitoring sleep and physical activity. Researchers at the Centre for Sleep ...