Impact of a Personalized Antidepressant Prescription Using Genetics, Socio-Demographic and Clinical Data in Major Depressive Disorder Patients: A Clinical Pilot Study: This paper was are the results of the initial clinical pilot with APHP and was published in Pharmacology and Pharmacogenetics
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Author(s):
Bertrand Saudreau, Amit Spinrad, Redwan Maatoug, Nourredine Haddadi, Raphaël Saffroy, Antoinette Lemoinee, Roy Schurr, Sne Darki-Morag, Roni Zoller, Dekel Taliaz, Bruno Millet
Published in:
Pharmacology and Pharmacogenomics, Issue 2022, 2022, Page(s) 10, ISSN 0000-0000
Publisher:
Pharmacology and Pharmacogenomics
DOI:
10.31488/jpp.105
Optimizing prediction of response to antidepressant medications using machine learning and integrated genetic, clinical, and demographic data
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Author(s):
Dekel Taliaz, Amit Spinrad, Ran Barzilay, Zohar Barnett-Itzhaki, Dana Averbuch, Omri Teltsh, Roy Schurr, Sne Darki-Morag, Bernard Lerer
Published in:
Translational Psychiatry, Issue 11/1, 2021, Page(s) 9, ISSN 2158-3188
Publisher:
Nature Publishing Group
DOI:
10.1038/s41398-021-01488-3
Investigation of Psychoactive Medications: Challenges and a Practical and Scalable New Path
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Author(s):
Dekel Taliaz and Prof. Alessandro Serretti
Published in:
CNS & Neurological Disorders - Drug Targets, Issue 18715273, 2022, Page(s) 8, ISSN 1871-5273
Publisher:
Bentham Science Publishers
DOI:
10.2174/1871527321666220628103843
A New Characterization of Mental Health Disorders Using Digital Behavioral Data: Evidence from Major Depressive Disorder
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Author(s):
Dekel Taliaz, Daniel Souery
Published in:
Journal of Clinical Medicine, Issue 10/14, 2021, Page(s) 3109, ISSN 2077-0383
Publisher:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/jcm10143109
