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 ...
Explore the implications of AI errors in health care and the necessity for human oversight in drug prescribing.
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 ...
Background Management of amyotrophic lateral sclerosis (ALS) is complicated by heterogeneous presentation and unpredictable ...
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 ...
Tropical disease drug discovery is an interdisciplinary field at the intersection of medicinal chemistry, computational biology, and global health. Despite ...
As we celebrate International Development Week in Canada, Grand Challenges Canada is highlighting Made-in-Canada solutions ...
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