Participants who were overweight believed that the fit doctors would disapprove of patients with unhealthy habits, and as a result overweight participants preferred physicians who did not advertise their fitness.
A global study based on daily steps counted by smartphones discovers “activity inequality.” It’s similar to income inequality, except that the “step-poor” are prone to obesity while the “step-rich” tend toward fitness and health.
A new deep learning algorithm can diagnose 14 types of heart rhythm defects, called arrhythmias, better than cardiologists. This could speed diagnosis and improve treatment for people in rural locations.
Patients with the irregular heart rhythm known as atrial fibrillation who got early cardiology care had a reduced risk of stroke, probably because they were more likely to be prescribed anticoagulants, Stanford researchers found.
A new technology can monitor and maintain the level of drug in the bloodstream of animals. If it works in people, it could deliver the optimal dose of life-saving drugs and prevent harmful over- or underdosing.
Students in a Biodesign Innovation class got a first-hand look at challenges in health care with intense – and inspiring – hospital simulations. These students took what they learned in the simulations and applied it to new technology solutions.