Tag Archives: Digital Medicine

Healthcare: The Digital Medicine Revolution

Scripps Research (April 11, 2023) – From smartwatches and fitness bands to glucose monitors and in-home ultrasounds, the proliferation of digital devices is igniting a revolution in healthcare and medical research.

Patients can now collect thousands of data points about themselves and share that information with their healthcare providers. At the Scripps Research Translational Institute, researchers are taking advantage of new technology to study disease in novel ways.

Their projects include a platform for early detection of disease outbreaks, a sleep quality study, and even a way to predict and individual’s risk of certain disease based on their genetics. In this video, hear directly from the team about this exciting new frontier.

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Digital Medicine: Apps For Smartphones, Machine Learning To Treat Kidney Disease (The Lancet)

From a The Lancet online article (January 18, 2020):

The Lancet logoSmartphone app-based platforms for urine testing could improve adherence to albumin creatinine ratio (ACR) testing. One study showed screening of at-risk patients almost doubled with a home urine test kit that uses a smartphone camera to easily and accurately quantify ACR from a user-performed urine dipstick. If independently validated in a large, diverse population, this low-cost strategy could change the often dim trajectory for individuals with declining kidney function. Chronic Kidney Disease A Global Crisis Siemens Healthineers

In the outpatient setting, a Japanese team used machine learning and natural language processing to predict disease progression and need for dialysis over 6 months in patients with diabetic nephropathy. And while the increased risk of contrast-induced acute kidney injury has been long appreciated, a machine learning algorithm trained and tested on 3 million adults effectively quantified the degree of kidney injury on the basis of the volume of contrast used and individual patient-level characteristics.

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