From a Health IT Analytics online release:
The prototype revealed that using artificial intelligence and machine learning to examine certain combinations of vital signs and other biomarkers could strongly predict the likelihood of infection up to 48 hours in advance of clinical suspicion, including observable symptoms.
Royal Philips, in collaboration with the Defense Threat Reduction Agency (DTRA) and Defense Innovation Unit (DIU) of the US Department of Defense (DoD), are building a machine learning algorithm that will be able to detect an infection before a patient shows signs or symptoms.
The partnering organizations recently announced results from an 18-month project, called Rapid Analysis of Threat Exposure (RATE), the first large-scale exploration of pre-symptomatic infection in humans. The project aims to develop an early warning system that accelerates diagnosis and treatment of infection, containing the spread of communicable disease.
To read more: https://healthitanalytics.com/news/philips-dod-build-machine-learning-system-to-detect-infection
“The risk for dementia is elevated about twofold in people who have diabetes or 
PayScale reports real-time salary data from over 54 million reports from job seekers, fact checking the data against private and public compensation data.
At Dr. Soong’s hospital, withholding the results of urine cultures, unless doctors actually called the microbiology lab to request them, 
Most Americans probably aren’t aware of the decline in the number of individuals training to become transplant physicians and how it will affect the future of medicine. Neither are the 2020 presidential hopefuls, all of whom have policies they believe best provide health care coverage for Americans without acknowledging or calling attention to the fact that soon there may not be enough doctors to do the work once more people are insured. We need a plan for that.
In summary, dietary fructose, but not glucose, supplementation of HFD impairs mitochondrial size, function, and protein acetylation, resulting in decreased fatty acid oxidation and development of metabolic dysregulation.
Kaia’s iOS and Android apps were developed with the help of physiotherapists, pain management physicians, orthopedic surgeons, and clinical psychologists, the company claims, and are registered as Class 1 medical devices with the Food and Drug Administration. They serve up video clips covering basic back and COPD pain information and step-by-step physiotherapy exercises, in addition to psychological strategies, such as mindfulness and muscle relaxation.
“As a result, today’s epidemic of physical inactivity in conjunction with highly processed, high-sodium diets contributes to thicker, stiffer hearts that compromise the heart’s ability to cope with endurance physical activity, and importantly this may start to occur prior to increases in resting blood pressure,” explains Shave.
