A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral ...
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Abstract: Lung cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis. Early and accurate detection through medical imaging can ...
Abstract: Skin cancer is one of the most common types of cancer in the world. It is important to find skin cancer early so that it can be treated effectively and more people can survive. This work ...
Skin cancer is the most commonly diagnosed cancer in the United States, affecting one in five Americans during their lifetime. While basal cell carcinomas (BCCs) and squamous cell carcinomas (SCCs) ...
Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...
When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...
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