Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...
A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...
A machine-learning model based on Transformer architecture, a form of artificial intelligence originally developed for ...
A new study published in Engineering has combined machine learning (ML) and experimental validation to identify dihydromyricetin (DHM), a natural flavonoid, as a potent inhibitor of the TGF-β/ALK5 ...
The integration of AI and Machine Learning into injury prediction is transforming how researchers, clinicians, and sports ...
Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...
Machine learning has emerged as a transformative force in the field of neurosurgery, offering innovative tools to predict surgical outcomes with greater ...
It is easy to forget how much of an impact the smartphone has had on our daily lives and our society. About 91% of Americans ...
Heart rate (HR) is an important and dynamic vital sign that is influenced by numerous inputs 4, and resting heart rate (RHR) is recognized as a biomarker and prognostic factor for overall mortality ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Cardiac pacemakers are critical for treating heart rhythm disorders, but traditional implants are associated with great risks and complications owing to their invasive nature. Here we introduce a ...
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