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 ...
The American Heart Association and Laerdal Medical further commitment to provide equitable, increased access to high-quality resuscitation training: DALLAS, March 4, 2026 — Millions of people in ...
Bacterial immune systems protect against viral invaders called phages by precisely targeting specific phage genetic sequences ...
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 ...
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.
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 ...
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, ...
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A machine learning model may enable liver cancer risk prediction with routine clinical information
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
Ultra-robust machine-learning models capable of stable molecular simulations at extreme temperatures
Researchers have created a groundbreaking physics-informed machine-learning model that can run molecular simulations for ...
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