Researchers have developed a novel approach to detect ALS and predict survival by measuring genetic activity in blood cells, a study found.

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...

Artificial intelligence is no longer just spotting tumors a little faster than humans. In study after study, machine learning ...

Experts are increasingly turning to machine learning to predict antibiotic resistance. The results should be treated with ...

The system's ability to learn and adapt from operational data resulted in continuous performance improvements over time. Hospital administrators reported significant reductions in scheduling conflicts ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

Researchers developed a blood test that spots ALS with 90% accuracy. The 46-gene panel could cut diagnostic delays that now ...

A research team has now developed an intelligent, non-destructive method that integrates hyperspectral imaging (HSI) with a ...

Overview: Quantum computing promises exponential speedups for complex healthcare problems like molecular simulation, genomics, and precision medicine, but real- ...

NetraMark Holdings Inc. (the “Company” or “NetraMark”) (CSE: AIAI) (OTCQB: AINMF) (Frankfurt: PF0), a premier artificial intelligence (AI) company transforming clinical trials with AI-powered ...