🚀 Excited to share scPortrait! Led by Sophia Mädler & Niklas Schmacke w/ the Mann lab — a new @scverse tool for standardized single-cell image data. Enables ML-ready extraction, >1B cell processing, cross-omics, & cancer macrophage insights. 🔗 https://t.co/VXHrCBgdDh

Happy to share our new preprint: Subcellular mRNA localization patterns across tissues resolved with spatial transcriptomics: https://t.co/ejJMnMaYQF We utilize VisiumHD to extract intra-cellular mRNA polarization patterns in epithelial tissues.

Ever wondered what happens to developing embryos during hypoxia? 🤔 Find out from our PhD student @heyroksolana at poster #45 at the @EMBO Workshop 'Developmental metabolism: flows of energy, matter & information!' 🐟🧬 #EMBODevMet

Spatial proteomics & transcriptomics chart #ovariancancer evolution from fallopian tube precursors. Deep Visual Proteomics reveals early SUMOylation, TRIP13 epithelial driver, BGN therapeutic target & epithelial-stromal cooperation in progression. https://t.co/1BRGGNeWJy

CHECK THIS OUT! 🚨 Re-Live from the “Biology of Aging” Gordon Research Conferences 2025. Introducing “Immune Age”, our AI alogorith to predict Biological age, more specifically, T Cell Age. #Tcellclock Immune Age very sensitively quantifies the effect of Aging and, more

From Krasnow, Quake, and the Tabula Microcebus consortium @Nature A molecular cell atlas of mouse lemur: https://t.co/q9y4c8OJ16 Atlas informs primate genes, physiology and disease: https://t.co/mkja7SU90F News and Views:

Brain diseases are tough to treat because of the blood-brain barrier. For decades, it stumped drug delivery. At Roche pRED, we solved this! Our Brainshuttle™ technology safely transports drugs across, opening new doors for CNS therapies. Learn more:

(1/12) Over a year ago, we launched a new project to explore whether the tissue microenvironment could predict cellular behaviour and whether reprogramming might unlock new therapeutic avenues. 🧬 Spatial transcriptomics provides deep insights into tissue organisation. We

I fully agree, there are a lot of folks that reach out from CS with superb papers and want todo AIxBiology yet are not keen to understand biology and some consider data cleaning “donkey work”. The best methods out there are clearly designed based on inductive biases and elements

Announcing TISHUMAP, a study combining @astar_gis's expertise, cutting-edge single cell spatial imaging & advanced AI to usher in a new era of precision medicine using insights from 1,000s of Xenium-analyzed human samples. Read now: https://t.co/I6muGKblJV

Interesting: https://t.co/zZ0AQlQtQ5 - low quality papers linking some seemingly random phenotypes eg in UKBiobank, "flooding" the literature. Exploring all possible combinatorial possibilities of phenotype combinations sounds like a science business model now...

The induction of tissue-specific #vessels in in vitro living tissue systems remains challenging. Researchers in the @TakebeLab at @sciencetokyo_en have developed hPSC-derived #LiverBudOrganoids with self-organizing sinusoidal vessels. 🔬 Read the @natBME study:

'Cross-tissue multicellular coordination and its rewiring in cancer' https://t.co/WDQxC02u77

Thrilled to collaborate with Mathew Garnett @Sanger and Parse Biosciences on the new Cancer Plasticity Atlas – a hugely exciting single cell genomics resource to decode tumor adaptation and resistance. 🔗 https://t.co/z3cmIbg7Oy #CancerAI #Plasticity #Atlas

Congratulations on your breakthrough helping to settle the age-old debate of whether the brain creates new neurons (and we're proud our tools lent a helping hand)!

Your adult brain CAN grow new neurons! A study in @Science just proved it by finding dividing brain cells in people up to age 78. Here’s how they solved a 20-year mystery that had neuroscientists fighting: 🧵👇

How to turn a layer of fibroblasts into a tulip 🌷? Check out our new pre-print on shape-programmable living surfaces. Led by @pauguillamat @IBECBarcelona https://t.co/iwNhsfXC3H

The FUTURE is NOW! 🚨 Whole-Transcriptome Spatial Genomics with OUT-OF-THE-BOX analysis starring @helucro. 🔬 Spatial genomics has now reached FULL-transcriptome resolution, enabling spatially resolved single-cell analysis at million cell scale. With this, we’re rethinking how

How can causal machine learning help answer causal questions in single-cell genomics—like how genes interact and influence phenotypes? Our latest @NatureGenet paper explores this challenge, along with approaches to generalizability, interpretability, and modeling cell dynamics.

I'm honoured to join @CRUK_CI and @Cambridge_Uni as a Junior Group Leader of AI for Cancer. My group will focus on reasoning, multimodality, hypothesis-making, and more to decode disease and health. A few positions are opened — consider applying to outsmart cancer together!