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AI-based neuroimaging prediction of outcomes in depression and psychosis

Online

Title: AI-based neuroimaging prediction of outcomes in depression and psychosis

Abstract: Psychiatry largely deals with the same questions it did 100 years ago. The recent Artificial Intelligence (AI) revolution provides hope for innovation and advancement that can translate into transformative change in patient care. In this talk Dr Paris Alexandros Lalousis will present results from his work using neuroimaging within a machine learning framework to develop diagnostic and prognostic tools in depression and psychosis.

Speaker: Dr Paris Alexandros Lalousis 

Biography: Paris is a Lecturer in Artificial Intelligence in Mental Health at the Institute of Psychiatry, Psychology & Neuroscience at King's College London based in the Department of Psychosis Studies. He holds a first-class BSc (Hons) in Psychology from the University of Wales and a MSc with distinction in Brain Imaging & Cognitive Neuroscience from the University of Birmingham. He has worked as a research assistant at the Department of Mental Health & Neurosurgery of the Evangelismos Hospital in Athens and clinically in the Birmingham Early Intervention in Psychosis Services.

He undertook his doctoral training with a joint funded Priestley University of Birmingham - University of Melbourne PhD Fellowship at the Institute for Mental Health and the Centre for Human Brain Health. He then worked as Post-Doctoral Research Fellow at the University of Birmingham leading his site within the NIH-funded PRESCIENT consortium and coordinating with international collaborators from 10 countries and 12 sites to successfully develop novel machine learning solutions for psychosis.

He currently leads the AIM lab where he uses state-of-the-art artificial intelligence methods to incorporate multimodal data from the phenotypic, neuroanatomical, proteomic and genomic levels to improve understanding of disease processes in mental illness, by disentangling phenotypic and neurobiological heterogeneity in a transdiagnostic manner. He focuses in the translation of data science into clinical care in mental health disorders positioned at the crosshairs of state-of-the-art analytical techniques and transformative clinical applications. His works spans psychosis, depression, dementia, and Parkinson’s disease among others.

The link to join the seminar will be shared a few weeks before the event.

Please contact maudsley.brc@kcl.ac.uk if you are interested in attending. 

 


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