To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Anemia in young adult women is rarely caused by a single factor. Instead, it reflects a layered interaction of nutritional deficiencies, physiological demands, chronic illnesses, genetic ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...

Scientists are exploring how DNA’s physical structure can store vast amounts of data and encode secure information.

AI in Pathology Market OverviewThe global AI in pathology market is anticipated to witness robust expansion, growing at an ...

Engineered DNA can store massive amounts of data while also encrypting it, opening the door to ultra-secure, long-term digital storage.

Study links lifelong lead exposure to 18% of US dementia cases, showing bone lead—not blood levels—may predict Alzheimer’s risk decades later.