When infectious diseases surge, response often comes down to timing: whether communities can position the right people and supplies before case counts spike. A new tool developed by UC San Diego with ...
A team of industry leaders and the University of North Dakota are targeting the nation’s $966 billion chronic disease ...
Opinion
2dOpinion
AI’s errors may be impossible to eliminate – what that means for its use in health care
Explore the implications of AI errors in health care and the necessity for human oversight in drug prescribing.
This article is authored by Varun Aggarwal, Vijay Chandru and Tarun Khanna.
WPI Professor Dmitry Korkin and researchers in Senegal are using a unique type of artificial intelligence (AI) to develop a ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
The Global AI in Cardiology Market offers key opportunities by enhancing early disease detection and tailored treatments ...
An international research consortium, led by scientists at VIB and UGent, has developed a new platform that could change how ...
Vaccination is one of the greatest achievements in immunology and medicine, nearly eradicating many infectious diseases that ...
A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...
Integrative Multi-Omics and Computational Modeling for Biomarker Discovery in Complex Human Diseases
Complex human diseases—such as cancer, neurodegenerative disorders, autoimmune conditions, cardiometabolic disease, and chronic inflammatory syndromes—arise ...
The Global Preeclampsia Diagnostics Market is driven by increased maternal risk factors and advancements in biomarker-based assays, emphasizing early detection. Key opportunities include enhancing ...
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