Cancer remains one of the leading causes of morbidity and mortality worldwide, characterized by complex genetic and molecular ...
Autoimmune diseases—including vitiligo, multiple sclerosis, systemic lupus erythematosus, type 1 diabetes, rheumatoid arthritis, primary biliary cirrhosis ...
In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...
A pilot program testing the use of artificial intelligence to expand prior authorization decisions in Medicare has providers, ...
Objective: In this study, we assessed the predictive capability of machine learning models for HT risk in AIS, aiming to inform the development of HT prediction tools. Methods: We conducted a thorough ...
Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
Governments have the right to decide how to spend money on science. Modelling shows that making instant cuts to grants ...
In two recent studies, University of Texas at Dallas researchers demonstrated how artificial intelligence (AI) and machine ...
Machine learning models using patient-reported outcomes, wearables, and clinical data accurately predicted urgent care visits ...
Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...
Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.
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