A machine learning algorithm predicts early-onset liver cancer in young adults better than traditional models.

Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

A large analysis suggests that a multivariable risk assessment tool, called Stockholm3, can detect substantially more ...

Abu Dhabi launches AI-powered virtual human twin project to drive early diagnosis, precision medicine and preventive ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Scientists discover karyoptosis, a new cell death mechanism causing nuclear disintegration in Alzheimer's and frontotemporal ...

Mayo Clinic researchers and collaborators have shown that artificial intelligence (AI) can analyze routine pathology slides to help classify meningiomas, the most common primary brain tumor ...

A new study suggests younger generations may be aging faster biologically, increasing their risk of early-onset cancers. The ...

Summary: Researchers established a critical link between accelerated biological aging and the rising incidence of early-onset cancers (diagnosed at age 55 or younger) in recent generations. The ...

Inocras, a bioinformatics-led company harnessing the power of whole genome data and proprietary analytics to deliver curated ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...