DIAGNOSIS
James Green

James Green

Identifying and Evaluating Exposotypes with Varying Genetic Risk in the Psychosis Spectrum using Machine Learning James Green, BA Research Assistant – Beth Israel Deaconess Medical Center Scientific Abstract Background: Exposome factors including childhood...

Efim Oykhman

Efim Oykhman

Biomarkers/Biotypes, Course of Early Psychosis and Specialty Services Efim Oykhman, MS Lab Manager and Research Assistant – Beth Israel Deaconess Medical Center Scientific Abstract Background: Psychotic disorders are highly heterogeneous in the early stages,...

David Martinez Garza

David Martinez Garza

Biomarkers for the diagnosis and treatment of alcohol use disorder David Martinez Garza, MD Fellow – Massachusetts General Hospital Scientific Abstract Background: Alcohol-related morbidity is dose-dependent. Self-reports of consumption are limited by...

Walid Yassine

Walid Yassine

Decoding Complexities of the Psychosis Spectrum: A Machine Learning Approach to Disentangle the Contributions of Exposome, Genetics, Neurobiology, Cognition, and Personality Walid Yassine, PhD Faculty – Beth Israel Deaconess Medical Center and McLean Hospital...

Jennifer Nosker

Jennifer Nosker

Effect of Diagnostic Method on Racial Disparities in Mild Cognitive Impairment and Dementia Diagnosis Using the NACC Database Jennifer Nosker, PhD Fellow – Massachusetts General Hospital Scientific Abstract Background: Studies have shown that Black individuals...

Annabel Kuhn

Annabel Kuhn

Modern problems require modern solutions: Catfishing, podcasts, and updating the psychiatric evaluation Annabel Kuhn, MD Resident – Harvard South Shore Adult Psychiatry Residency Training Program Scientific Abstract Background/Introduction: A “Catfish” is...

Kiefer Cowie

Kiefer Cowie

Assessing Patient-Reported Depressive Symptomatology in Adults: Validity of the 0 to 10 Numeric Rating Scale in Clinical Practice Kiefer Cowie, MA Clinical Psychology Intern – Brigham and Women’s Hospital Scientific Abstract Background: Depression is a...

Seo Ho (Michael) Song

Seo Ho (Michael) Song

Refining Prediction of a Rare Disorder through Patient Medical History and Machine Learning Seo Ho (Michael) Song, MD, PhD Resident – BIDMC Harvard Psychiatry Residency Training Program Scientific Abstract Background: Stiff person syndrome (SPS) is a rare...

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