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.
1d
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 ...
Machine learning model predicts poor pain-related quality of life after endometriosis surgery to assist clinicians with preoperative counseling.
With AI, it's now possible for researchers to predict the three-dimensional structures of proteins directly from their ...
Pickup defects, which we define at late pickups from a vendor or shipper site, represent a very costly challenge in ...
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 ...
Researchers at the University of Maine have developed a tool using satellite data to predict which farming sites may result ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results