Psychiatry UK (PUK), the UK’s leading online psychiatry service, adopted PREDICTIX to expand their telehealth service and set a new standard in remote care for patients with depression in the UK. Looking for a means to improve their service to patients and further gain a competitive edge within a rapidly growing market space, PUK implemented PREDICTIX
The psychiatric field is leading the adoption of telemedicine within healthcare. Now is the time for telemedicine services to leverage tools such as PREDICTIX to be at the innovation forefront to transform care, while driving new patient revenue streams.
Optimizing prediction of response to antidepressant medications using machine learning and environmental data
This paper presents the assembly process of an algorithm that predicts individual response to antidepressants based on integrated genetic, clinical and demographic data, and its performance on validation and testing datasets.
The use of smartphones and wearable devices to continuously and objectively collect quantified behavioral data from patients by utilizing digital biomarkers of mental disorder symptoms. This quantified data can be used to determine a patient’s diagnosis and personalized treatment, and thereby allow a personalized treatment for each patient.
Optimizing prediction of response to antidepressant medications using machine learning and integrated genetic, clinical, and demographic data
This abstract presents the assembly process of an algorithm that predicts individual response to antidepressants based on clinical and demographic data, and its performance on validation and testing datasets.
Taliaz, announced today the successful end of patient enrollment in the PREDICTIX mental health study at APHP, a leading hospital in France. Assistance Publique – Hôpitaux de Paris (APHP).
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