Biased algorithms in health care can lead to inaccurate diagnoses and delayed treatment. Deciding which variables to include to achieve fair health outcomes depends on how you approach fairness.
In health care crises, researchers can avoid waiting for clinical trial results by using data from health care systems to analyze the effectiveness of treatments for COVID-19 and other illnesses.
Careful lab work will complement public health data as researchers worldwide focus on omicron, asking questions about contagiousness, severity of disease and whether vaccines hold up against it.
All multiple sclerosis sufferers have stem cells with the potential to heal them, but scientists are only just figuring out how to kick them into action.
An article published in the journal of the British Medical Association, BMJ, earlier this week illustrates a devastating problem with the “evidence base” in the academic medical literature. A large proportion…