Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.
Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
The latent profile analysis was used to identify the self-efficacy groups of young and middle-aged patients with aortic ...
Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Objectives There is a lack of knowledge about whether occupational exposures increase the risk of emphysema, especially in ...
Background Postoperative ileus (POI) is a common complication after abdominal surgery that significantly delays recovery. Evidence suggests that the general anaesthetic propofol inhibits ...
A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.
Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a ...
A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of ...
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