Diseases of the pancreas can have serious consequences for patients and are difficult to diagnose. Early detection is crucial for the patient's chance of survival.
Thunder can be heard for a short length of time after a lightning strike. This is because the surrounding substance that was struck by lightning absorbs the light, which is then converted into heat, causing the material to expand and make a sound.
Francis Yoshimoto, an assistant professor in the Department of Chemistry at the University of Texas at San Antonio, is teaching his Biochemistry II laboratory students how to use virtual reality headsets to see and study protein structures.
Investigators built a model that predicts the postoperative recurrence of Crohn disease with high accuracy by assessing histological pictures using an artificial intelligence (AI) tool that emulates how humans view and is programmed to identify and classify images.
It is with great pride that we announce that we have been selected to exhibit our state-of-the-art rehabilitative device, rebless™, during the MedTech Innovator Road Tour in Boston, MA next week.
Lymphedema is common in breast cancer survivors due to the high risk of lymph node damage or removal during surgical procedures. Because the nodes’ locations cause fluid and proteins to collect in the arm, compression sleeves are used to try to restore normal flow. Current techniques, however, are both costly and inconvenient.
As medicine embraces machine learning, a new study shows that scientists could use artificial intelligence to forecast how cancer might influence the probability of spinal fractures.
Soft, pneumatic actuators are not a term people hear every day, but chances are that people could have utilized them at some point.
One-third of ischemic strokes, the most common type of stroke, are caused by atrial fibrillation, the most familiar cardiac rhythm abnormality. However, since many patients are asymptomatic, atrial fibrillation is underdiagnosed.
Patients with a weak heart pump were identified using single-lead ECG tracings from an Apple Watch inferred by an artificial intelligence (AI) algorithm developed at Mayo Clinic.