Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance ...
Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...
Researchers from BI Norwegian Business School and NHH Norwegian School of Economics have developed a new behavioral ...
Artificial intelligence is revolutionizing drug discovery and antibody engineering, accelerating the creation of new ...
As drug-resistant infections threaten to undermine decades of medical progress, scientists are increasingly turning to artificial intelligence (AI) ...
Study Finds on MSN
New Blood Test Shows Promise For Faster ALS Diagnosis
Researchers developed a blood test that spots ALS with 90% accuracy. The 46-gene panel could cut diagnostic delays that now ...
A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...
A Hebrew University study suggests AI tools could help growers better manage water use by predicting healthy plant behavior and flagging early signs of stress.
Economic variables also play a central role. Rising GDP per capita increases healthcare utilization rates as households are ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results