Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Machine learning, a type of artificial intelligence, has many applications in science, from finding gravitational lenses in the distant universe to predicting virus evolution. Hubble Space Telescope ...
MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
Early detection of lung cancer in smokers using miRNA profiles and a hybrid deep learning framework. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...
The robots are coming for health care, just like they are for virtually everything else. But in this very narrow instance, at least, that may actually be a good thing. In the spirit of a week ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.
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