Project Details
AI-based multi-modal data integration for prediction, mechanistic insight and subgroup stratification (A06)
Subject Area
Cognitive, Systems and Behavioural Neurobiology
Term
since 2019
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 402170461
In the 1st FP we developed and tested a novel methodological framework for multi-modal data integration in artificial intelligence (AI)- based time series analysis from a dynamical systems perspective. In the 2nd FP, we aim to extensively harvest this newly developed approach for analyzing the rich multi-modal data sets that have already been acquired within the TRR 265 cohort and other subprojects in the 1st FP.
DFG Programme
CRC/Transregios
Subproject of
TRR 265:
Losing and Regaining Control over Drug Intake: From Trajectories to Mechanisms to Interventions
Applicant Institution
Ruprecht-Karls-Universität Heidelberg
Project Heads
Professor Dr. Daniel Durstewitz; Professorin Dr. Georgia Koppe; Emanuel Schwarz, Ph.D., since 7/2023