One of the most immediate impacts of AI in medical genetics lies in diagnosis, particularly for rare and complex genetic ...

The life sciences industry is buzzing about AI's potential to transform drug discovery. But at this year's J.P. Morgan Healthcare Conference, the real conversation isn't about finding the perfect ...

GE HealthCare Technologies Inc. (NYSE: GEHC) leads with 100 FDA-approved AI devices, concentrating heavily on imaging and diagnostics. Their CleaRecon DL technology sharpens cone-beam CT images using ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

Well, sort of. Machine learning, an older form of AI, has long been used in all sorts of scientific research. One branch, ...

Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

MS research suggests the disease may be divided into two biological subtypes that differ in how early and aggressively nerve ...

MDisrupt, the AI-powered health-expert marketplace behind healthcare's boldest innovations, today announced the launch of Health Expert in the Looptm, the first solution for centralized, on-demand ...

Breakthroughs in scientific research are not always made in experienced laboratories and research teams. Occasionally, they ...

Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare decisions, regardless of technological improvements or funding.