“With the improvement of VLSI technology, on-chip power grid design is becoming more challenging than before. In this design phase of VLSI CAD, power grids are generated in order to make power and ...
Industrial machine vision, combined with robotics, enables cheese dairies, for the first time, to inspect thousands of wheels ...
11don MSN
Turning CO₂ into methanol: Multilayer machine learning speeds up search for better catalysts
Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
10d
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 ...
Physician turnover is disruptive to patients and costly to health care facilities and physicians alike. In a new study, Yale researchers used machine learning to reveal the factors — including the ...
New Multi-omic Blood Test Detects 61.5 Percent of Endometriosis Cases Missed by Imaging: Study Finds
A novel multi-omic blood test integrating biomarkers with machine learning identifies 61.5% of endometriosis cases previously ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results