The increasing availability of biomedical data from large biobanks, electronic health records,
medical imaging, wearable and ambient biosensors, and the lower cost of genome and …

Advances in quantitative biomarker development have accelerated new forms of data-driven
insights for patients with cancer. However, most approaches are limited to a single mode of …

Drug repurposing or repositioning is a technique whereby existing drugs are used to treat
emerging and challenging diseases, including COVID-19. Drug repurposing has become a …

Abstract Objective Coronavirus disease 2019 (COVID-19) poses societal challenges that
require expeditious data and knowledge sharing. Though organizational clinical data are …

With the rapid development of computer software and hardware technologies, more and
more healthcare data are becoming readily available from clinical institutions, patients …

Long COVID, or complications arising from COVID-19 weeks after infection, has become a
central concern for public health experts. The United States National Institutes of Health …

Machine learning for health must be reproducible to ensure reliable clinical use. We
evaluated 511 scientific papers across several machine learning subfields and found that …

Background: Obesity is a risk factor for pneumonia and acute respiratory distress syndrome.
Objective: To determine whether obesity is associated with intubation or death …

Medical artificial intelligence (AI) has tremendous potential to advance healthcare by
supporting and contributing to the evidence-based practice of medicine, personalizing …

Objective To quantify the background incidence rates of 15 prespecified adverse events of
special interest (AESIs) associated with covid-19 vaccines. Design Multinational network …