A Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform ...
Tech Xplore on MSN
Machine learning used to calibrate emissions control systems faster, more efficiently
Southwest Research Institute (SwRI) has developed a method to automate the calibration of heavy-duty diesel truck emissions ...
A machine learning model can use patient-reported data and remote therapeutic monitoring to accurately assess low disease activity in rheumatoid arthritis, according to data presented at ACR ...
IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...
By a News Reporter-Staff News Editor at Insurance Daily News-- Data detailed on Machine Learning have been presented. The news correspondents obtained a quote from the research from Texas State ...
Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying ...
The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...
Osaka Metropolitan University researchers developed a technique to improve machine learning reliability and estimation results of gravitational wave parameters.
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 ...
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback