Technical University of Munich
A public technical university in Munich where engineering, computing, and medicine meet, driving research from foundational science to startups.
Labs & Groups (1)
Models (15)
Hierarchy-aware self-supervised model for single-cell microscopy that preserves morphological structure suppressed by imaging-modality confounders.
Variational autoencoder trained on scRNA-seq and applied frozen to impute unmeasured genes and denoise spatial transcriptomics profiles.
Virtual spatial transcriptomics foundation model predicting pan-cancer, spatially-resolved single-cell gene expression from H&E histology slides.
LoRA adapter on ProstT5 predicting per-residue distributions over Foldseek 3Di tokens, capturing conformational flexibility from MD trajectories.
Spectral prediction model for modified peptides, forecasting fragment-ion intensities and retention time with zero-shot generalization to unseen PTMs.
Pathology foundation model that fuses global patch and cell-level tokens via joint-weighted attention pooling for H&E-based biomarker detection.
FLOWR.root
Pfizer / Jagiellonian University Medical College / Helmholtz Munich / Technical University of Munich
Released October 2, 2025
SE(3)-equivariant flow-matching model for pocket-aware 3D ligand generation, predicting binding affinity and confidence in the same network.
Scooby
Technical University of Munich / Helmholtz Munich / Harvard Medical School / Broad Institute / Harvard University
Released October 1, 2025
Predicts single-cell scRNA-seq coverage and scATAC-seq insertion profiles from DNA sequence, adapting the Borzoi trunk with a cell-specific decoder.
cxt (Coalescence and Translation LM)
University of Oregon / Technical University of Munich
Released June 24, 2025
Decoder-only transformer that recasts ancestral recombination graph inference as next-token prediction, estimating coalescence times from variation.
EndoChat
Chinese University of Hong Kong / Huawei / Technical University of Munich / University of Strasbourg / Shandong University / Chinese Academy of Sciences
Released January 20, 2025
Grounded multimodal language model for endoscopic surgery, supporting visual dialogue, region-based question answering, and bounding-box grounding.
Transformer foundation model pretrained on 110M single-cell and spatial transcriptomics profiles, transferring spatial context to dissociated cells.
Bilingual protein language model that translates bidirectionally between amino acid sequences and the 3Di structural alphabet for inverse folding.
Masked DNA language model trained on 800+ species with explicit species conditioning, separating conserved regulatory motifs from background bias.
Parameter-efficient protein language model that matches larger models such as ESM-2 on protein prediction tasks using under 10% of the parameters.
Suite of six protein language models, including ProtBERT and ProtT5, trained on up to 393 billion amino acids without multiple sequence alignments.