JIANGSU, ZHENJIANG, CHINA, January 23, 2026 /EINPresswire.com/ -- In the high-stakes environment of global heavy ...
1d
When AI meets physics: Unlocking complex protein structures to accelerate biomedical breakthroughs
Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...
This study investigates the paradoxical relationship between ambulance response times and traffic fatality rates across Saudi Arabia’s 13 administrative regions in 2024. Contrary to conventional ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Abstract: Complex-variable matrix optimization problems are fundamental in signal processing and related engineering applications, yet existing methods often become computationally inefficient when ...
Objective To determine how distinct combinations of resistance training prescription (RTx) variables (load, sets and frequency) affect muscle strength and hypertrophy. Data sources MEDLINE, Embase, ...
NSCLC in the immunotherapy era: Trends in survival and disparities across demographic and socioeconomic groups. Prediction of IO response combining clinical parameters, intra- & peritumoral CT ...
A new suggestion that complexity increases over time, not just in living organisms but in the nonliving world, promises to rewrite notions of time and evolution. In 1950 the Italian physicist Enrico ...
In the rapidly evolving field of drug discovery, single-cell analysis has become an invaluable tool for understanding cellular heterogeneity and molecular pathways. However, traditional single-cell ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results