The American Heart Association and Laerdal Medical further commitment to provide equitable, increased access to high-quality ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Researchers have created a groundbreaking physics-informed machine-learning model that can run molecular simulations for ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

A peer-reviewed article in Neurobiology of Learning and Memory is challenging a foundational assumption about how animals and humans form associations between cues and rewards, Rather than relying ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

A new tool that uses machine learning for drug discovery predicts how molecules will influence gene expression.

Bacterial immune systems protect against viral invaders called phages by precisely targeting specific phage genetic sequences ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...