Overview:  Predictive analytics helps businesses forecast customer behavior and improve marketing decisions with data-driven ...

Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...

AI-driven predictive analytics is reshaping how firms evaluate deals, manage risk, and plan portfolio strategies.

However, traditional clinical trial designs are often ill-suited for rare disease research with common challenges including ...

Overview Artificial intelligence seems to be transforming drug discovery in 2026, enabling faster molecule design, smarter clinical trials, and reduced R&D ...

Researchers at the University of Maryland and Tilburg University in the Netherlands have produced an AI-driven innovation to ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

A new review titled Artificial Intelligence and the Discovery of Antibiotics: Reinventing with Opportunities, Challenges, and ...

The other is to invest in high-fidelity digital twins which are deemed to be powerful but costly, data-hungry, and often slow to implement. A practical middle ground is emerging: the disruption-aware ...

The collaboration will convene AMR leaders to define and prioritize AI-ready datasets and evaluations to advance AMR research through an open call for proposals and community workshops in North ...

Time series electrocardiography combined with AI predicted cardiac arrest with remarkable accuracy. Discover how this ...