Inside your body, an intricate communication network constantly monitors breathing, heart rate, digestion, and immune ...
Fear takes over when patients hear liver surgery. Often, patients imagine the procedure as extremely risky, but medicine has ...
With the recent advances in cell reprogramming, scientists can take a mature human cell — such as a skin cell — and revert it ...
While incoherent physical movement used to indicate AI’s use in the creation of an image, Sora 2 has improved significantly ...
Researchers developed seven MRI-based biological age clocks across major organs using UK Biobank imaging, linking each to ...
Sepsis is one of the most life-threatening medical emergencies worldwide, claiming millions of lives each year. It occurs when the body’s response to infection triggers widespread inflammation and ...
Abstract: Labeling multiple organs for segmentation is a complex and time-consuming process, resulting in a scarcity of comprehensively labeled multi-organ datasets while the emergence of numerous ...
aMedical Big Data Research Center, Chinese The People’s Liberation Army General Hospital, Beijing, China bNational Engineering Research Center of Medical Big Data Application Technology, The People’s ...
Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, United States Institute for Quantitative Health Science and Engineering, Michigan State ...
Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning
This is a useful study that applies deep transfer learning to assign patient-level disease attributes to single cells of T2D and non-diabetic patients, including obese patients. This analysis ...
An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...
Mimicking the way experienced human observers track growth over time, 3D-NOD integrates novel labeling, registration, and data augmentation strategies to boost sensitivity and accuracy. Tested across ...
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