@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!
📖 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!
📖 www.nature.com/articles/s41...
🧪 @natprot.nature.com @fabiantheis.bsky.social
🧪 @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.
🔗 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.
🔗 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.
👉 www.nature.com/articles/s41...
Designed for modern perturbation data - CRISPR, drug screens, patient treatments - scaling to millions of cells and 1000s of conditions.
👉 www.nature.com/articles/s41...
Designed for modern perturbation data - CRISPR, drug screens, patient treatments - scaling to millions of cells and 1000s of conditions.
👉 www.nature.com/articles/s41...
Designed for modern perturbation data - CRISPR, drug screens, patient treatments - scaling to millions of cells and 1000s of conditions.
👉 www.nature.com/articles/s41...
🔹 PIs in Health AI/AI Foundations
🔹 Health AI Fellows
🔹 Clinical AI Consultants
Apply👇
PIs: jobs.helmholtz-muenchen.de/jobposting/8...
Fellows: jobs.helmholtz-muenchen.de/jobposting/7...
Consult: jobs.helmholtz-muenchen.de/jobposting/c...
🔹 PIs in Health AI/AI Foundations
🔹 Health AI Fellows
🔹 Clinical AI Consultants
Apply👇
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, Sören, Larsen, Parse Bio & Seelig lab!
🔗 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, Sören, Larsen, Parse Bio & Seelig lab!
🔗 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...
📄 www.biorxiv.org/content/10.6...
📄 www.biorxiv.org/content/10.6...
We move beyond reconstruction to learn rich, cell-level embeddings for diverse omics.
📘 www.biorxiv.org/content/10.1...
We move beyond reconstruction to learn rich, cell-level embeddings for diverse omics.
📘 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 🧬💊
📄 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 🧬💊
📄 biorxiv.org/content/10.1...
#AI #Biology #DeepLearning
Proud of the growing strength of the Bavarian AI ecosystem 👉 baiosphere.org
�� dealroom.co/tech-ecosystem-index-2025�5#Munich #baiosphereiosphere
Proud of the growing strength of the Bavarian AI ecosystem 👉 baiosphere.org
�� dealroom.co/tech-ecosystem-index-2025�5#Munich #baiosphereiosphere
@fabiantheis.bsky.social @comphealthmunich.bsky.social
@fabiantheis.bsky.social @comphealthmunich.bsky.social
No bad computational tricks — only treats! 🧫💻✨
No bad computational tricks — only treats! 🧫💻✨
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 👏
👉 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 👏
👉 www.nature.com/articles/s41...