Deep phenotyping of heart failure with preserved ejection fraction through multi-omics integration
MK Jakob Versnjak, Titus Kuehne, Pauline Fahjen, Nina Jovanovic, Ulrike ...
European Journal of Heart Failure
Recent Publications
2025
Visceral adipose tissue, aortic distensibility and atherosclerotic cardiovascular risk across body mass index categories
U Makhmudova, B Wild, A Williamson, E Steinhagen-Thiessen, ...
European Journal of Preventive Cardiology, zwaf447
Biologically Guided Variational Inference for Interpretable Multimodal Single-Cell Integration and Mechanistic Discovery
L Arnoldt, J Upmeier zu Belzen, L Herrmann, K Nguyen, F Theis, B Wild, ...
bioRxiv, 2025.06. 10.657924
JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model
Q Duan, B Huang, Z Song, I Lehmann, L Gu, R Eils, B Wild
arXiv preprint arXiv:2505.17257
Foundation Models in Oncology Win Benchmarks but Miss the Clinic
Z Duan, Q Duan, B Wild, R Eils
Nature Cancer (accepted)
Benchmark evaluation of DeepSeek large language models in clinical decision-making
S Sandmann, S Hegselmann, M Fujarski, L Bickmann, B Wild, R Eils, ...
Nature Medicine
Large Language Models are Powerful Electronic Health Record Encoders
S Hegselmann, G von Arnim, T Rheude, N Kronenberg, D Sontag, ...
arXiv preprint arXiv:2502.17403
Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats
L Steinfeldt, B Wild, T Buergel, M Pietzner, J Upmeier zu Belzen, ...
Nature Communications 15 (1), 4635
2024
Cohort-Based Active Modality Acquisition
T Rheude, R Eils, B Wild
arXiv preprint arXiv:2505.16791
Differentiable sorting for censored time-to-event data
A Vauvelle, B Wild, R Eils, S Denaxas
Advances in Neural Information Processing Systems 36
A predictive atlas of disease onset from retinal fundus photographs
T Buergel, L Loock, L Steinfeldt, J Hoffmann, S Kuenzel, ...
medRxiv, 2024.03. 14.24304242
DNA LMs identify variants predictive across the human phenome
B Wild, J Upmeier zu Belzen, L Herrmann, M Kittner, R Eils
ICLR 2024 Workshop on Machine Learning for Genomics Explorations
Collective flow of circadian clock information in honeybee colonies
H Mellert, K Kłos, D Dormagen, B Wild, T Zachariae, ML Smith, ...
bioRxiv, 2024.07. 29.605620
2023
How honeybees respond to heat stress from the individual to colony level
N Jhawar, JD Davidson, B Weidenmüller, B Wild, DM Dormagen, ...
Journal of the Royal Society Interface 20 (206), 20230290
Machine learning reveals the waggle drift’s role in the honey bee dance communication system
D Dormagen, B Wild, F Wario, T Landgraf
PNAS nexus 2 (9), pgad275
Honey bee drones are synchronously hyperactive inside the nest
K Neubauer, JD Davidson, B Wild, D Dormagen, T Landgraf, ID Couzin
Animal Behaviour 202, 119-129
2022
Metabolomic profiles predict individual multidisease outcomes
T Buergel, L Steinfeldt, G Ruyoga, M Pietzner, D Baischet, ...
Nature Medicine 28 (11), 2309-2320
Behavioral variation across the days and lives of honey bees
ML Smith, JD Davidson, B Wild, D Dormagen, T Landgraf, ID Couzin
iScience 25 (1)
Learning to embed lifetime social behavior from interaction dynamics
B Wild, D Dormagen, T Landgraf
Proceedings of the 12th International Conference on Methods and Techniques …
2021
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions
JJ Sun, A Kennedy, E Zhan, DJ Anderson, Y Yue, P Perona
Advances in Neural Information Processing Systems 34, 5943-5957
Social networks predict the life and death of honey bees
B Wild, D Dormagen, T Zachariae, ML Smith, KS Traynor, D Brockmann, ...
Nature communications 12 (1), 1110
A flying platform to investigate neuronal correlates of navigation in the honey bee Apis mellifera
B Wild, T Sixt, T Landgraf
Frontiers in Behavioral Neuroscience 15, 690571
2018
Rendergan: Generating realistic labeled data
L Sixt, B Wild, T Landgraf
Frontiers in Robotics and AI 5, 66