Language Biomarker Lab
Unlocking Insights with Language Biomarkers and Advanced NLP
A biomarker serves as a measurable indicator of an organism's physiological and mental conditions. The Language Biomarker Lab (LaBL) utilizes advances in natural language processing (NLP) and artificial intelligence (AI) to discover ways in which language language may serve as an indicator of health and cognitive processing. Our research primarily focuses on the semantics of language, the digital phenotyping of mental illnesses such as psychosis, the study of neurodegenerative diseases including Primary Progressive Aphasia and Alzheimer's, and the mechanisms of causal and future thinking.
Featured Projects
ProNET(Psychosis Risk
Outcomes Network): A project of the Accelerating Medicines Partnership for Schizophrenia
A global effort to better understand, treat, and prevent psychosis. ProNET is funded by the NIH and the Foundation for the NIH (FNIH) as an Accelerating Medicines Partnership (AMP), a program that brings together NIH, private foundations, and industry sponsors to accelerate the development of new medications through large-scale research initiatives.
ANNA-PR(Automated Neural Network Assessment of Psychosis Risk): An AI-driven system designed to automate the assessment of psychosis risk
The target population includes youth and young adults at Clinical High Risk for (CHR-P), identified through the Positive Symptoms and Diagnostic Criteria for the CAARMS Harmonized with the SIPS (PSYCHS)—a new assessment tool integrating the two most widely used psychosis risk instruments, the CAARMS and the SIPS.
PReDICT(Predictive Remission Detection in Clinical Treatment): is a research initiative that leverages generative AI to identify language-based biomarkers of depression.
The study analyzes speech patterns from clinical interviews conducted with participants in the PReDICT trial. It uses large language models to detect and cluster linguistic features. These markers help predict treatment resistance and guide more personalized therapeutic strategies for individuals with Major Depressive Disorder.
About Us: The Language Biomarker Lab
At the intersection of AI, language, and mental health.
Nestled within the Psychology Department and directed by Dr. Phill Wolff, our lab is an interdisciplinary nexus that blends psychology, linguistics, and computer science to pioneer the field of language biomarkers. We specialize in psychological assessments, data pipelining automation, computational modeling, and the utilization of advanced computational methods to decode the intricate picture of language as a biomarker.
Our research focuses on enhancing the precision and efficiency of psychological diagnostics through innovative computational approaches, aiming to transform how mental health disorders are understood and treated.
Interested in exploring the cutting edge of language biomarker research?
Visit the Psychology Department at Emory University for more insights into our groundbreaking work and discover how our Figured Linguistic Program is advancing computational methodologies in the realm of psychology.
