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From Big Brain Data to Collaboration: Where Mental Health Meets Computer Science

Year: 2025

Type: article

Abstract: This talk explores how large-scale brain and behavioural data can deepen our understanding of the human mind. We will examine the challenges inherent in such data, ranging from domain shifts and noise to label uncertainty, and discuss how advances in computer science, particularly in machine learning, can help address them. The session aims to spark dialogue on how mental health research and computational sciences can join forces to build robust, interpretable, and clinically meaningful models. I look forward to connecting and exchanging ideas on how we can truly join our brains for collaborative innovation.

Source: Thüringer Universitäts- und Landesbibliothek

DOI: 10.22032/dbt.68223

Authors: Friedrich-Schiller-Universität Jena. Multimediazentrum, Wolfers, Thomas

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W7109088583

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