Answering personal questions at the doctor’s office can help researchers recognize health problems and find effective interventions.
Articles on Clinical data
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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.
A research study shows that training the other limb can actually help preserve muscle in a broken and immobilized one.
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.
Computer-aided decision-making has been shown to help in clinical contexts. But winning over doctors and patients is a different matter.
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…
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PhD Student, University of Saskatchewan
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Professor, College of Kinesiology, University of Saskatchewan
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MB/PhD Candidate, University of Cambridge
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Senior Fellow, University of Leeds
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Assistant Professor of Health Policy and Management, Indiana University
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Professor of Chemistry and Biomedical Engineering, Georgia Institute of Technology
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Clinical Assistant Professor of Medicine, University of Pittsburgh
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Associate Professor of Medicine, Epidemiology and Clinical and Translational Science, University of Pittsburgh
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Vice President of Clinical Analytics, University of Pittsburgh
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Professor of Health Economics, University of Washington