A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...
Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
We believe AI-powered investing should be focused on specific markets and is not one-size-fits-all. Read more here.
IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...
News-Medical.Net on MSN
Machine learning model boosts success of liver transplants from circulatory death donors
There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
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Machine-learning model could save costs, improve liver transplants, Stanford-led research shows
A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.
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 ...
Machine learning algorithms find patterns in human movement data collected by continuous monitoring, yielding insights that ...
Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.
IIT Delhi’s 6-month programme offers faculty-led, hands-on training in Data Science, ML, Deep Learning and Generative AI, ending with a valuable certificate.
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