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 ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

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

Cognizant CAIO Babak Hodjat on agentic AI, sovereign compute, and how India’s AI ecosystem can scale through infrastructure, design, and collaboration, interview ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort ...

Permafrost regions contain a globally significant mercury (Hg) reservoir. An estimated 1,656 ± 962 Gg total Hg in Northern Hemisphere permafrost-region soils, with 793 ± 461 Gg frozen in ...

A new study published in Nature has found that X's algorithm—the hidden system or "recipe" that governs which posts appear in your feed and in which order—shifts users' political opinions in a more ...

The 2026 film ‘Mercy’ imagines a world where AI decides criminal justice outcomes. No matter how advanced the system, though, ethical questions remain.

As the population ages, China will face an ever-increasing burden from CS. Strategies targeting elder population and high-risk groups should be prioritized in the establishment of management related ...

Master these AI website builder prompting tips to create professional sites faster. Learn proven techniques for getting ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...