COVID-19 Projections Using Machine Learning
We take a data-driven approach rooted in epidemiology to forecast infections and deaths from the COVID-19 / coronavirus epidemic in the US and around the world
We take a data-driven approach rooted in epidemiology to forecast infections and deaths from the COVID-19 / coronavirus epidemic in the US and around the world
Objectives To examine how the lifetime risks of atrial fibrillation and of complications after atrial fibrillation changed over time. Design Danish, nationwide, population based cohort…
Objectives To examine how the lifetime risks of atrial fibrillation and of complications after atrial fibrillation changed over time. Design Danish, nationwide, population based cohort…
Author summary Large language models (LLMs) are the most sophisticated form of language-based artificial intelligence. LLMs have the potential to improve healthcare, and experiments and…
Obesity and type 2 diabetes are prevalent in patients with heart failure with preserved ejection fraction and are characterized by a high symptom burden. No…
The Lancet Breast Cancer Commission—a diverse, multidisciplinary international group—are unanimous in our determination to improve the lives of all people who live with or are…
Patients hospitalized with COVID-19 exhibit age-dependent immune dysregulation at the transcriptional, protein, and cellular levels.
Nature Chemical Biology – Developing disease-modifying drugs for neurodegenerative diseases has been very challenging. Now a machine learning approach has been used to identify small…
The results, while unpublished, are the latest in a string of hopeful signs for weight loss drugs to treat a variety of conditions.
Eventually they’ll be clear.
Eventually they’ll be clear.