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Johns Hopkins researchers recently received a $195,000 Rapid Response Research grant from the National Science Foundation to identify, through machine learning, which COVID-19 patients are at risk of ...
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Machine learning methods are best suited to catch liars, according to science of deception detectionThey demonstrate that AI and machine learning-based methods have the potential to provide accurate predictions if they ... and Springer, using the keyword "deception detection." The research papers ...
The project I was a part of, Tectonic, was using machine learning to advance earthquake prediction. The European Research Council was sufficiently convinced of its potential to award it a four ...
A recent study by Yale researchers demonstrated the potential of a machine learning approach to predict symptoms of post-traumatic stress disorder, or PTSD, for recent trauma survivors.. Researchers ...
Investigating genes associated with heart failure, atrial fibrillation, and other cardiovascular diseases, and predicting disease using machine learning techniques for translational research and ...
New research uses machine learning to mine data from standard lung-cancer scans and predict patients most likely to have heart damage from radiation treatment later in life.
In terms of diagnostic accuracy, ChatGPT's performance was evaluated based on its ability to correctly identify whether a subject had heart disease or diabetes based on the presented symptoms and ...
A New Study Used Machine Learning to Predict Athletic Recovery Researchers in New Zealand used athlete data to pick up patterns in how we recover. Their insights are surprising.
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