Presenter: Anika RM Thiemann

Faculty Sponsor: Jean Kennedy

School: Quinsigamond Community College

Research Area: Biochemistry and Molecular Biology

Session: Poster Session 1, 10:30 AM - 11:15 AM, Auditorium, A5

ABSTRACT

The use of brain scans and genetic evaluation shows strong potential to increase the precision of mental health diagnosis and treatment. Artificial intelligence, high-throughput sequencing, gene writing, and gene editing have enabled the introduction of genomic treatment and precision medicine. Five underlying genomic factors associated with psychiatric illness have been identified. These genetic signatures are unique to those that struggle with mental disorders and indicate biological similarities among distinct psychiatric disorders. Identifying patterns of brain connectivity using high-resolution imaging and advanced computational modeling with collaborative datasets can help determine the effectiveness of different types of antidepressant medications for patients with major depressive disorder. Diagnosis and treatment may also be improved through the analysis of predictive brain imaging biomarkers. Artificial intelligence tools are being utilized to develop digital biomarkers that support psychiatric research. The approach to and process of mental health diagnosis and treatment will be altered by new technologies. Advancements in neuroscientific understanding are likely to shape the future of psychiatry, offering the potential for more precise and personalized diagnostic approaches and treatments for mental illness.

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