How Machine Learning Is Helping Us Predict Heart Disease and Diabetes
Scientists at Boston University’s Center for Information and Systems Engineering are trying to bring the power of machine- learning to help cut costly and unnecessary hospitalizations while improving outcomes for patients. They believe they could predict hospitalizations due to these two chronic diseases about a year in advance with an accuracy rate of as much as 82%. This will give care providers the chance to intervene much earlier and head off hospitalizations. Read the full story here: Harvard Business Review
Kidneys from Deceased Diabetes Patients May Be Organ Donation Source
Kidneys from deceased diabetic donors can save the lives of patients on the transplant wait-list, researchers say. For the study, investigators compared U.S. data from more than 8,100 recipients of kidneys from deceased donors who’d had diabetes with data from people on the kidney transplant wait-list. The patients were followed for an average of nearly nine years. People who received kidneys from diabetic donors were 9 percent less likely to die during that follow-up period than those who were still on the wait-list or were seeking a kidney from a non-diabetic donor, the study found.Read the full story here: CBS News
Roche Hoping to Gain Edge with New Diabetes-Testing Product
Two months after laying off 42 workers from its north-side campus, citing competitive pressures in the diabetes care market, Roche Group is rolling out a new blood-glucose meter and a savings program for test strips, which it says it will make diabetes care more affordable.. Read the full story here: IBJ
Secret Sugar Cut Could Be Deadly for Diabetics
The suggestion that companies should secretly subtract sugar from many food and drink recipes is inappropriate and incorrect. If sugar levels were secretly reduced in such drinks, people with type 1 diabetes could suffer dire consequences. Read full story here: The Guardian .
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