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

February 11, 2020
Digital Transformation More...
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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.

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