Millions of people are diagnosed with Alzheimer's disease each year, comprising 60% to 70% of dementia cases worldwide. While cognitive impairment and structural brain changes are indicative of ...
Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved ...
A model made using machine learning can predict if CPAP use in patients with obstructive sleep apnea will benefit or harm ...
Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial We trained and tested ML systems ...
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
A People Analytics study of 205 tech professionals found that promotions, internal mobility, and career momentum are stronger predictors of early attrition than workplace culture.
A machine learning model uses cloud type and cloud cover to predict rapid changes in surface solar irradiance, including short-term “ramp” events that affect grid stability. When tested across 15 ...
Net, a hybrid model that improves energy consumption prediction in low-energy buildings, enhancing accuracy and ...
Using the second-nearest neighboring atoms to predict metallic glass stability can help researchers more accurately model the disordered solid with strong, elastic properties, according to a recent ...
5don MSN
Machine-learning method maps the uncertainty of biodiversity scenarios: The Bigfoot connection
To effectively protect biodiversity in an era of climate change, ecologists first have to know where animal and plant species ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results