A new paper soon to be released in the Journal of the National Cancer Institute indicates that early-onset colorectal cancer
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Unvaccinated patient in hospital pleads for others to get vaccine: 'I want to help as many people as I can'
Virginia residents Travis and Kellie Campbell were unvaccinated when they both contracted COVID-19 in late July. Since then, Travis Campbell
Read moreFor Each Critically Ill COVID Patient, a Family Is Suffering, Too
The weeks of fear and uncertainty that Pam and Paul Alexander suffered as their adult daughter struggled against COVID-19 etched
Read moreArgentine judge orders unproven treatment for COVID patient
An Argentinian judge has compelled a private clinic to administer chlorine dioxide, used as a powerful disinfectant, to a coronavirus
Read moreWhat does ‘DNR’ mean? Varying interpretations may affect patient care
When patients have a do-not-resuscitate (DNR) order, it means they have chosen not to receive cardiopulmonary resuscitation (CPR). But hospital
Read moreDespite COVID-19 pandemic, first patient undergoes new personalized immunotherapy
Since 2016, Bernard Thurman has undergone traditional treatments, experimental therapies and surgeries to counter the cancer within him, but nothing
Read moreFDA issues warning about metal in face masks after patient burned during MRI
Britain starts first coronavirus vaccines 70 hospitals in the U.K. have started administering Pfizer vaccine; Fox News senior foreign affairs
Read moreAnalysis shows high level of SARS-CoV-2 contamination in patient toilets, staff and public areas in hosptials
A systematic review of evidence being presented at this week’s ESCMID Conference on Coronavirus Disease shows that air around patients
Read moreTexas coronavirus patient, 70, undergoes double lung transplant
Fox News Flash top headlines for September 18 Texas surgeons performed a double lung transplant after the novel coronavirus damaged the lungs
Read moreNew machine learning method allows hospitals to share patient data—privately
To answer medical questions that can be applied to a wide patient population, machine learning models rely on large, diverse
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