Collab w/ Bertie Gรถttgensโ lab, led by Weizhong.
pseudodynamics+ goes beyond pseudotime to infer birth/death, differentiation & interpolate time in scalable fashion - directly from snapshot scRNA-seq.
๐ www.biorxiv.org/content/10.6...
Collab w/ Bertie Gรถttgensโ lab, led by Weizhong.
pseudodynamics+ goes beyond pseudotime to infer birth/death, differentiation & interpolate time in scalable fashion - directly from snapshot scRNA-seq.
๐ www.biorxiv.org/content/10.6...
@PhilippWeiler's detailed guide shows how to:
- Integrate velocity, pseudotime & time points
- Infer cell fate probabilities
- Analyze lineage priming at scale
Great complement to our CellRank 2 paper!
๐ www.nature.com/articles/s41...
@PhilippWeiler's detailed guide shows how to:
- Integrate velocity, pseudotime & time points
- Infer cell fate probabilities
- Analyze lineage priming at scale
Great complement to our CellRank 2 paper!
๐ www.nature.com/articles/s41...
๐งช @natprot.nature.com @fabiantheis.bsky.social
๐งช @natprot.nature.com @fabiantheis.bsky.social
www.spiegel.de/wissenschaft...
www.spiegel.de/wissenschaft...
The NOMIS Synergy Fellowship offers a great opportunity to develop such a position in my lab within the interdisciplinary Synergy excellence cluster.
๐ www.synergy-munich.de/news-events/...
The NOMIS Synergy Fellowship offers a great opportunity to develop such a position in my lab within the interdisciplinary Synergy excellence cluster.
๐ www.synergy-munich.de/news-events/...
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Designed for modern perturbation data - CRISPR, drug screens, patient treatments - scaling to millions of cells and 1000s of conditions.
๐ www.nature.com/articles/s41...
Designed for modern perturbation data - CRISPR, drug screens, patient treatments - scaling to millions of cells and 1000s of conditions.
๐ www.nature.com/articles/s41...
Designed for modern perturbation data - CRISPR, drug screens, patient treatments - scaling to millions of cells and 1000s of conditions.
๐ www.nature.com/articles/s41...
Designed for modern perturbation data - CRISPR, drug screens, patient treatments - scaling to millions of cells and 1000s of conditions.
๐ www.nature.com/articles/s41...
๐น PIs in Health AI/AI Foundations
๐น Health AI Fellows
๐น Clinical AI Consultants
Apply๐
PIs: jobs.helmholtz-muenchen.de/jobposting/8...
Fellows: jobs.helmholtz-muenchen.de/jobposting/7...
Consult: jobs.helmholtz-muenchen.de/jobposting/c...
๐น PIs in Health AI/AI Foundations
๐น Health AI Fellows
๐น Clinical AI Consultants
Apply๐
PIs: jobs.helmholtz-muenchen.de/jobposting/8...
Fellows: jobs.helmholtz-muenchen.de/jobposting/7...
Consult: jobs.helmholtz-muenchen.de/jobposting/c...
The Human Cytokine Dictionary - 9.7M cells, 12 donors, 90 cytokines - our largest human single-cell perturbation atlas yet. Users can map cytokine activity in their own data. Huge thanks to Lukas, Sรถren, Larsen, Parse Bio & Seelig lab!
๐ www.biorxiv.org/content/10.6...
The Human Cytokine Dictionary - 9.7M cells, 12 donors, 90 cytokines - our largest human single-cell perturbation atlas yet. Users can map cytokine activity in their own data. Huge thanks to Lukas, Sรถren, Larsen, Parse Bio & Seelig lab!
๐ www.biorxiv.org/content/10.6...
We've started building active-learning loops with perturbation models, where AI proposes experiments & data closes loop. Supplying such models to agents could transform exp design into theory search.
www.nature.com/articles/s41...
We've started building active-learning loops with perturbation models, where AI proposes experiments & data closes loop. Supplying such models to agents could transform exp design into theory search.
www.nature.com/articles/s41...
๐ www.biorxiv.org/content/10.6...
๐ www.biorxiv.org/content/10.6...
We move beyond reconstruction to learn rich, cell-level embeddings for diverse omics.
๐ www.biorxiv.org/content/10.1...
We move beyond reconstruction to learn rich, cell-level embeddings for diverse omics.
๐ www.biorxiv.org/content/10.1...
Our goal: virtual twin cells, tissues & patients.
#AIinMedicine #HelmholtzMunich
Our goal: virtual twin cells, tissues & patients.
#AIinMedicine #HelmholtzMunich
AI that predicts how cells respond to genetic & chemical perturbations across readouts.
Now scales to 1.9 M molecules + in vitro validation of melanoma-specific hits ๐งฌ๐
๐ biorxiv.org/content/10.1...
#AI #Biology #DeepLearning
AI that predicts how cells respond to genetic & chemical perturbations across readouts.
Now scales to 1.9 M molecules + in vitro validation of melanoma-specific hits ๐งฌ๐
๐ biorxiv.org/content/10.1...
#AI #Biology #DeepLearning
Proud of the growing strength of the Bavarian AI ecosystem ๐ baiosphere.org๏ฟผ
๏ฟฝ๏ฟฝ dealroom.co/tech-ecosystem-index-2025๏ฟฝ5#Munich #baiosphereiosphere
Proud of the growing strength of the Bavarian AI ecosystem ๐ baiosphere.org๏ฟผ
๏ฟฝ๏ฟฝ dealroom.co/tech-ecosystem-index-2025๏ฟฝ5#Munich #baiosphereiosphere
@fabiantheis.bsky.social @comphealthmunich.bsky.social
@fabiantheis.bsky.social @comphealthmunich.bsky.social
No bad computational tricks โ only treats! ๐งซ๐ปโจ
No bad computational tricks โ only treats! ๐งซ๐ปโจ
A transformer foundation model linking single-cell & spatial omics, learning spatial context from gene expression to map tissue organization.
Led by Ale Tejada & Anna Schaar ๐
๐ www.nature.com/articles/s41...
A transformer foundation model linking single-cell & spatial omics, learning spatial context from gene expression to map tissue organization.
Led by Ale Tejada & Anna Schaar ๐
๐ www.nature.com/articles/s41...