NEWS COMMENTARY

Newly identified digital biomarker helps identify likelihood of positive response to antidepressant

Published:
February 11, 2020
Coverage:
Digital Transformation More...
Activities:
Research
by Danielle Bradnan
Very important

By using a machine learning algorithm to assess EEG data, researchers have identified patterns that predict a patient's response to a specific antidepressant (sertraline). The use of digital biomarkers, such as EEG patterns, for diagnostics and personalized treatment is a growing trend as data analytics uncover previously invisible insights. In the U.S., while biomarkers in and of themselves are not patentable, as part of a diagnostic leading to a specific treatment, there is potential patentability. The discovery of data analytics-based digital biomarkers is more accessible to nontraditional healthcare players – unlocking opportunities for clients to develop proprietary healthcare diagnostics revenue streams.

For the original news article, click here .


Further Reading

Point-Of-Care Diagnostics 2.0: Beyond the Clinic

State of the Market Report | November 12, 2019

Point‑of‑care diagnostics (POCDs) have been essential tools in the rapid detection of biomarkers and analytes, which facilitates better disease diagnosis, monitoring, and management. However, with some exceptions like the pregnancy test kit and glucose test strips, first‑generation POCDs have ... Not part of subscription

Chinese medical device company Mindray announces the release of its new point-of-care ultrasound system

News Commentary | January 21, 2020

The new system provides targeted solutions to diverse point‑of‑care diagnostic (POCD) situations, including critical care, anesthesia, and emergency medicine. Featuring smart fluid management tools, a safe needling toolkit, seamless data connectivity, and deep learning algorithms, the new system ... Not part of subscription

Yitu claims its AI-based CT image analysis system can identify COVID-19 in three seconds at a high accuracy

News Commentary | April 28, 2020

The system is the result of Yitu's partnership with the Shanghai Public Health Clinical Center with a target of easing the doctors' burden by identifying COVID‑19 cases via automatic detection and quantitative analysis. This system has false negative and false positive rates of 2.7% and 1%, ... Not part of subscription