3 papers
cs.CE2026
Towards a physics-informed multiscale digital twin for precision medicine in Alzheimer's disease
Aida Nonn, Elma Kerz, Daniel Wiechmann +1
Deciphering the drivers of brain ageing and neurodegeneration, and explaining heterogeneity in individual trajectories, remains a central challenge for precision medicine. We propo…
cs.CL2025
MindSET: Advancing Mental Health Benchmarking through Large-Scale Social Media Data
Saad Mankarious, Ayah Zirikly, Daniel Wiechmann +3
Social media data has become a vital resource for studying mental health, offering real-time insights into thoughts, emotions, and behaviors that traditional methods often miss. Pr…
cs.CL2024
Transparent but Powerful: Explainability, Accuracy, and Generalizability in ADHD Detection from Social Media Data
D. Wiechmann, E. Kempa, E. Kerz +1
Attention-deficit/hyperactivity disorder (ADHD) is a prevalent mental health condition affecting both children and adults, yet it remains severely underdiagnosed. Recent advances i…