On June 30, 2026, the National Institutes of Health announced that its All of Us Research Program has become the world’s largest integrated ...

Key market opportunities in AI for omics studies include the demand for precision medicine, adoption of AI in drug discovery, and AI-powered multi-omics data integration. Emphasis on personalized ...

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

Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...

Quantum AI leverages the power of the technology to run complex machine learning algorithms to process vast amounts of data, ...

By 2050, urban centers will house nearly 70% of the global population. Transitioning to localized food production via Urban Agriculture (UA) including ...

This GEN Spotlight on RNA Therapeutics brings you three interlinked sessions that feature outstanding researchers exploring various aspects of RNA biology and therapeutics.

This study proposes a novel method for designing prosthetic heart valves (PHVs) by combining machine learning (ML) with optimization algorithms. This approach aims to overcome the limitations of ...

For a child diagnosed with neuroblastoma-the most common infant cancer, occurring when early nerve cells grow out of control-the path to treatment isn't simple.

As patients are divided into ever more narrowly defined subgroups, the number of individuals available for research shrinks dramatically. While this approach improves personalization, it also creates ...

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