A deep learning algorithm can detect metastases in sections of lymph nodes from women with breast cancer; and a deep learning system (DLS) has high sensitivity and specificity for identifying diabetic retinopathy, according to two studies published online Dec. 12 in the Journal of the American Medical Association.
A deep learning algorithm can detect metastases in sections of lymph nodes from women with breast cancer; and a deep learning system (DLS) has high sensitivity and specificity for identifying diabetic retinopathy, according to two studies published online December 12 in the Journal of the American Medical Association.
At first glance, it seems counterintuitive. To learn more about how cells go awry causing disease, it seems logical to focus on the minutiae of a cell's molecular components: the specific genes, proteins, and small molecules that change over time leading to a disease state. Instead, Ernest Fraenkel, MIT associate professor in the Department of Biologic Engineering, first takes a macro view for finding new ways to understand and cure diseases. "When you are faced with making any sense of the 10,000 or 20,000 molecules that are present within a cell and evolve during disease, you need an entirely new approach to figure out what is really important among all the changes you see," Fraenkel explains. He develops computational and laboratory experimental methods to uncover the molecular pathways that go awry in disease and search for new strategies and intervention targets.
Now that it's upending the way you play music, cook, shop, hear the news and check the weather, the friendly voice emanating from your Amazon Alexa-enabled smart speaker is poised to wriggle its way into all things health care. Amazon has big ambitions for its devices. It thinks Alexa, the virtual assistant inside them, could help doctors diagnose mental illness, autism, concussions and Parkinson's disease. It even hopes Alexa will detect when you're having a heart attack. At present, Alexa can perform a handful of health care-related tasks: "She" can track blood glucose levels, describe symptoms, access post-surgical care instructions, monitor home prescription deliveries and make same-day appointments at the nearest urgent care center.
Toya T Peterson speaks on medical devices from the Sci-Fi world that could one day become reality. The handheld medical device used in the popular Star Trek Enterprise might soon become a reality. With Qualcomm having began a contest to see if anyone can create a working tricorder (that weighs less than 5 pounds and fits in the palm!), the healthcare industry might be able to benefit from this great innovation. With the ability to diagnose different conditions (ranging from anemia, diabetes, pneumonia, sleep apnea, and chronic diseases amongst others) and monitor vital signs (like blood pressure, heart rate, temperature and respiratory rate) of patients, the tricorder can be used by patients in the comforts of their homes, without having to visit the doctor. While Ender's Game featured a surgical robot performing brain surgery, robotic medical assistants majorly enable safe patient lifting, reducing incidents of workplace injuries, and hence improved clinician staff retention and satisfaction as well as patient satisfaction.