A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.
Using a form of machine learning called self-supervised learning, Mass General Brigham researchers have created a new predictive artificial intelligence model, which they say could help generate ...
7d
A machine learning model may enable liver cancer risk prediction with routine clinical information
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
Among pediatric patients presenting to the emergency department (ED) with high fevers, pinpointing those at risk for developing sepsis “is akin to looking for a needle in the haystack,” said Elizabeth ...
This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...
EMMI Predict: TerraBind, a Universal Potency Model Operating at The Scale Necessary For Small Molecule Drug Development Terray’s platform is where Experimentation Meets Machine Intelligence (EMMI) to ...
Machine learning model predicts poor pain-related quality of life after endometriosis surgery to assist clinicians with preoperative counseling.
Researchers in Netherlands and Belgium have created a numerical model to simulate the moisture ingress in PV modules. Their research work showed that climate in which a PV module is installed has a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results