Very excited to see our snRNAseq study being published in @ScienceMagazine. Heart failure does not result from a common final pathway. A great team effort - including @danielreichart3 @HubnerLab @MDC_Berlin https://t.co/xdkuwk1LQL

Research| Maatz, Lindberg, and colleagues identify molecular alterations and immune response changes in endomyocardial biopsies from patients with #myocarditis following #COVIDー19 infection, anti-COVID-19 vaccination, or non-COVID-related causes. 👉 https://t.co/faaJIr44AJ

Research teams @ChariteBerlin, @DRFZ_Berlin and #mdcBerlin have identified immune cells that cause severe #kidney inflammation in lupus, upturning conventional wisdom that the damage is caused by autoantibodies. Published in @Nature. #LupusNephritis https://t.co/zvKEoRmcS9

AI can be useful. What is needed more is human intelligence.

Same diagnosis, different outcomes? With a precision medicine approach & spatial proteomics @KabatnikSonja @labs_mann now report pathways and marker proteins that stratify risk groups for colorectal carcinoma recurrence. Great work, Sonja!

Methods for imaging-based #spatialtranscriptomics (iST) incl. MERFISH, MolecularCartography, Xenium… are promising techs, but it feels like there is no discussion about their limitations and QC metrics. As this has been bothering me for quite some time now, I´d like to start👇

Our work on human skull and brain diseases highlighted at SZ☺️

In April, we proposed a Generalist Medical Artificial Intelligence in Nature. Today, with MedFlamingo, we're demonstrating a multimodal medical AI model that can perform few-shot generative medical visual question answering. Led by my brilliant colleague @Michael_D_Moor. 🧵

Our new study is now published at @NatureBiotech as open access. What is in it? Online Whole-Body Mouse Atlases, tertiary lymphatic structures (TLS) in the whole mouse along cancer, and more. Meet wildDISCO, thread 👇🏼 https://t.co/544CH1IIRw

Single-cell biology: what does the future hold? perspectives by M Polychronidou, J Hou @MolSystBiol @m_madan_babu @priscaliberali @IdoAmitLab @BartDeplancke G Lahav @SItzkovitz @labs_mann our. @JulioSaezRod @fabian_theis @CaptainSysBio

Let's explore the powerful computational tools we developed in✨SPARCS✨ ( https://t.co/gpqV9A3KCI) to identify and isolate individual cells based on their appearance under the microscope🔬🔍 Discover the capabilities of our #Python tools and their role in the SPARCS workflow 🧵👇

🚨 #ChatGPT + @napari_imaging 🚨 Releasing my latest weekend project: Omega, an autonomous LLM agent that writes image processing and analysis code, fixes its mistakes, accesses the napari viewer, makes widgets, & more! https://t.co/5btZq05ro1 @LangChainAI @OpenAI #OmegaAgent

Thrilled to share the first last-author work, FIPRESCI @GenomeBiology. It can efficiently get more than 100,000 5'-end scRNA-seq data in a single channel of 10X Genomics. Compatible with scVDJ-seq and profiling of cis-regulatory elements activity. https://t.co/ElKW4lmVQh

GPT-4 can automatically annotate cell types by utilizing marker gene information. GPT-4 annotations fully or partially match manual annotations for at least 75% of cell types, demonstrating GPT-4’s ability to generate cell type annotations comparable to those of human experts.

Amazing cross-species comparison (human vs. bears) to understand immune-cell activation and thromboprotection. Excellent study design, must read! Manuela Thienel @JoBMller @V_Ehreiser, @AnneDueck @FrobertOle @petzold_tobias

We are excited to introduce Phospho-seq, our approach for profiling intracellular protein and cell signaling dynamics alongside additional molecular modalities in single cells! Check out @JBlairSci's preprint at

Spatial epigenome–transcriptome co-sequencing🤩🤩🤩Beyond excited to see it out today @Nature! Enjoyable collaboration between my lab @YaleBME @YaleSEAS @YaleMed and @GoCasteloBranco of @karolinskainst. The most informative tool for spatial multi-omics!! https://t.co/hRTtfGVbno

A Comment from @labs_mann discusses the current state of the art of single-cell proteomics by mass spectrometry, including the many technological challenges that must be overcome to yield new biological insights. https://t.co/uPoKh4cBsP

The topic has nothing to do with my daily business, but I always wondered when AI allows us to read our minds. In a preprint (2022), a group from Osaka University reconstructed images from human brain activity! Congrats to the authors and @osaka_univ_e https://t.co/uCn41PQ43G

Some papers that were rejected: • PPO (used to train ChatGPT) • SVM • SIFT • YOLO • GELU • LSTM • Dropout • RoBERTa • MinTrace • PageRank • Kalyan Filters • Transformer-XL • Word2Vec (poster) • Viola-Jones Face Detector And that’s why open research is good.

Cite-Seq is getting spatial! Congrats to Yang Liu, @RongFan8 and the entire team. Check out their paper @naturebiotech.