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Massimo Gennarelli

Showing results (191-200 of 213) with videos related to

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Medicina (Kaunas, Lithuania)|May 27, 2026
Integrating Genetic Variants and Expression Profiles of Pharmacogenes to Investigate Resistance to Antidepressant TreatmentClaudia Pisanu, Alessio Squassina, Júlia Perera-Bel, et al.
European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology|May 23, 2025
Predicted plasma proteomics from genetic scores and treatment outcomes in major depression: a meta-analysisVincenzo Oliva, Chiara Possidente, Giuseppe Fanelli, et al.
The Pharmacogenomics Journal|April 22, 2025
Association of pharmacodynamic genes with treatment outcomes in major depressive disorder: results from a Sardinian cohortPasquale Paribello, Mirko Manchia, Marco Pinna, et al.
Psychiatry Research|January 4, 2026
Agitation and anxiety features define a more severe phenotype in unipolar depressionMaria Luca, Antonina Luca, Stefano Barlati, et al.
Neuroscience Applied|July 14, 2025
Polygenic scores of subcortical brain volumes as possible modulators of treatment response in depressionVincenzo Oliva, Alfonso Martone, Giuseppe Fanelli, et al.
Brain, Behavior, and Immunity|September 10, 2025
Blood transcriptomic analysis reveals a distinct molecular subtype of treatment resistant depression compared to non-treatment resistant depressionAnna Sirés, Jorge Domínguez-Barragán, Nicola Lorenzon, et al.
Journal of Psychopharmacology (Oxford, England)|September 10, 2010
Variation in GNB3 predicts response and adverse reactions to antidepressantsRobert Keers, Cristian Bonvicini, Catia Scassellati, et al.
Schizophrenia Bulletin|February 9, 2021
Classification of Psychoses Based on Immunological Features: A Machine Learning Study in a Large Cohort of First-Episode and Chronic PatientsPaolo Enrico, Giuseppe Delvecchio, Nunzio Turtulici, et al.
American Journal of Human Genetics|August 7, 2012
Exome sequencing followed by large-scale genotyping suggests a limited role for moderately rare risk factors of strong effect in schizophreniaAnna C Need, Joseph P McEvoy, Massimo Gennarelli, et al.
Frontiers in Psychiatry|January 1, 2026
Factors influencing patient decision-making on a multimodal precision medicine algorithm for depression: a qualitative European multicentre study of the PROMPT consortiumRosa Glaser, Johannes C S Zang, Britta Kelch, et al.
Pageof 22

Showing results (191-200 of 213) with videos related to

Sort By:
Pageof 22
Medicina (Kaunas, Lithuania)|May 27, 2026
Integrating Genetic Variants and Expression Profiles of Pharmacogenes to Investigate Resistance to Antidepressant TreatmentClaudia Pisanu, Alessio Squassina, Júlia Perera-Bel, et al.
European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology|May 23, 2025
Predicted plasma proteomics from genetic scores and treatment outcomes in major depression: a meta-analysisVincenzo Oliva, Chiara Possidente, Giuseppe Fanelli, et al.
The Pharmacogenomics Journal|April 22, 2025
Association of pharmacodynamic genes with treatment outcomes in major depressive disorder: results from a Sardinian cohortPasquale Paribello, Mirko Manchia, Marco Pinna, et al.
Psychiatry Research|January 4, 2026
Agitation and anxiety features define a more severe phenotype in unipolar depressionMaria Luca, Antonina Luca, Stefano Barlati, et al.
Neuroscience Applied|July 14, 2025
Polygenic scores of subcortical brain volumes as possible modulators of treatment response in depressionVincenzo Oliva, Alfonso Martone, Giuseppe Fanelli, et al.
Brain, Behavior, and Immunity|September 10, 2025
Blood transcriptomic analysis reveals a distinct molecular subtype of treatment resistant depression compared to non-treatment resistant depressionAnna Sirés, Jorge Domínguez-Barragán, Nicola Lorenzon, et al.
Journal of Psychopharmacology (Oxford, England)|September 10, 2010
Variation in GNB3 predicts response and adverse reactions to antidepressantsRobert Keers, Cristian Bonvicini, Catia Scassellati, et al.
Schizophrenia Bulletin|February 9, 2021
Classification of Psychoses Based on Immunological Features: A Machine Learning Study in a Large Cohort of First-Episode and Chronic PatientsPaolo Enrico, Giuseppe Delvecchio, Nunzio Turtulici, et al.
American Journal of Human Genetics|August 7, 2012
Exome sequencing followed by large-scale genotyping suggests a limited role for moderately rare risk factors of strong effect in schizophreniaAnna C Need, Joseph P McEvoy, Massimo Gennarelli, et al.
Frontiers in Psychiatry|January 1, 2026
Factors influencing patient decision-making on a multimodal precision medicine algorithm for depression: a qualitative European multicentre study of the PROMPT consortiumRosa Glaser, Johannes C S Zang, Britta Kelch, et al.
Pageof 22