Growing global demand for sustainable agriculture is driving scientists to find smarter ways to handle livestock waste. A new ...

Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...

AI in cancer diagnostics is changing the way doctors find and treat cancer. It’s not just about fancy machines—it’s about ...

Terradot, a carbon removal company, is using “enhanced rock weathering” to sequester carbon by spreading crushed volcanic ...

According to the researchers, the leap from technical success to operational adoption remains largely unfulfilled. Many ...

Platforms like Stats Edge and GRID Insights have made such systems commercially viable, combining player and team data, projection engines, real-time match tracking, and predictive features. GRID ...

Most product teams start with correlation. They build a model that predicts who will click, buy, or return, and then they point promotions or notifications at those people. This looks clever on a ...

Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...

Background Diabetes mellitus (DM) is a common comorbidity in hypertrophic cardiomyopathy (HCM) and may exacerbate arrhythmic ...

Artificial intelligence (AI) is rapidly transforming biomarker discovery by unlocking insights from vast and complex datasets. Hurdle recently reviewed how revolutionary this technology could be, ...

Objective Patients with systemic lupus erythematosus (SLE) commonly develop lupus nephritis (LN), the most frequent severe ...

Background Atrial fibrillation (AF) is linked to significant morbidity and mortality, with ischaemic stroke being a leading ...