RENEW Faculty and Affiliates are encouraged to contact Dr. Ahmed for proposal support in the following areas of his expertise: (1) data mining, (2) geographical information systems (GIS), ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Industry leaders describe how proteomics is shifting toward clinical and applied use through standardized workflows, scalable ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
The Law of Mass action predicts that all adverse drug reactions are related to the concentration of the drug at the site of action, and therefore to the administered dose. In other words, there is no ...
LCGC International salutes Jack Henion and Bob W.J. Pirok, winners of the 19th annual LCGC Lifetime Achievement and Emerging ...
Diagnostics, self-monitoring and digital communication detect flowmeter issues, provide insight Accurate flow measurement is ...
Confirmation of Adelita as a large porphyry-skarn mineral system with vertically extensive feeder structures Identification of 32 priority exploration targets Evidence for significant expansion ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
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