A predictive machine learning model was able to identify how effectively patients with Crohn’s disease would respond to long-term usage of ustekinumab, according to a new study in JAMA Network Open. Researchers from the University of Michigan trained the model using demographic and laboratory data obtained in previous clinical trials. The data described 401 patients with active Crohn’s
By the time they reach school age, about 90 percent of children will have experienced a condition in which fluid fills the middle ear, muffling sound and sometimes triggering infection. Diagnosis usually requires a visit to a specialist—but researchers have now developed an app that detects this fluid just as accurately, with only a smartphone
Only about 25 percent of U.S. patients survive when their hearts stop in hospitals. Crucial minutes elapse before help arrives, sometimes because alarms are missed amid the din of beeping monitors. But the call that day didn’t come from within the hospital. It came from a darkened room in an office park several miles away, where a
For more than a decade now, since 2008 when Marvel Studio’s Iron Man debuted, pop culture fans have been fascinated by the idea of people donning robot parts to be stronger or faster. Medicine and technology teaming up to enhance physical ability is not new, either, with several generations of both theory and application finding success. Until
Individuals who use healthcare apps such as fitness trackers, weight loss, wellness, exercise, etc., BEWARE!A couple of recent developments have highlighted the fact that most apps are not subject to HIPAA, which means that with broadly-worded privacy policy these healthcare apps can and do readily share healthcare and other data collected by the apps with third
Machine learning algorithm predicts sudden death in heart failure patients for the first time Artificial intelligence (AI) has shown promise to select heart failure patients for expensive treatments to prevent lethal arrhythmias, reports a study presented today at ICNC 2019. (1) The study is the first to use a machine learning algorithm to predict sudden
The hospital is going to be a very different place in the 2020s than it has been up until now. Increasingly, doctors and nurses are going to be incorporating mobile devices and wireless technologies into patient health care, and this is called mobile health or mHealth. In a 2018 study done by Zebra Technologies, it was estimated that by
Source NYTimes Lying on a church pew with his arm over his head, 6-year-old Gordon Andindagaye whimpered a bit — in fear, not pain — as Dr. William A. Cherniak slowly swept a small ultrasound scanner up and down his chest. Dr. Cherniak and Rodgers Ssekawoko Muhumuza, the Ugandan clinical officer he was training, stared at the
With over 1.3 million men and women on active duty and more than 450,000 of them stationed overseas, some of them deployed to conflict zones like Afghanistan, Iraq or Syria, and 20 million U.S. veterans, it’s no wonder the U.S. Department of Veterans Affairs (VA) is looking for ways to meet the medical, surgical and quality-of-life needs of America’s
Investigators at the Rady Children’s Institute for Genomic Medicine (RCIGM) in San Diego have updated their pediatric sequencing program for diagnosing rare diseases, incorporating machine learning methods to generate, analyze, and interpret genetic data and get those insights to clinicians more quickly. “By harnessing the power of technology, we can quickly and accurately determine the
