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 ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

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

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

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

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 ...

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 ...

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

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...