April 2019 // Can AI Help Doctors Treat Depression? These Startups Think So

Discover more about how Taliaz’s AI-prediction algorithm, PREDICTIX, can assist psychiatrists and family doctors personalize depression treatment earlier.

Startups are developing artificial intelligence (AI) tools to help psychiatrists and family doctors optimize care faster for patients with depression and anxiety.

Taliaz is an Israel-based startup, developing AI-driven decision support tools. Taliaz PREDICTIX helps doctors identify the right antidepressant medication. The algorithm was developed based on data from the largest prospective clinical trial on depression to date, the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) Study.  Taliaz says that after developing its algorithms, the tool was able to predict efficacy and adverse effects of current antidepressants, with up to nearly 75% accuracy.

“Only by combining deep scientific research, genetics, neurological, environmental and clinical data, can we understand these complexities and identify the relevant markers to build prediction models that can offer these patients the best outcome,” says Taliaz CEO Dekel Taliaz, who has a PhD in Neuroscience from the Weizmann Institute.

“With a non-invasive, simple test, we collect patients’ DNA samples alongside his or her demographic and clinical history via a quick, online questionnaire. PREDICTIX then provides predictive information about antidepressant drugs and recommends the ones best suited to each patient’s genetic makeup and health record,” he says.

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