Julien Vibert (李满山)

Next-generation programmable cell therapies for precision medicine Nature Reviews Genetics, Published online: 11 March 2026; doi:10.1038/s41576-026-00945-3In this Review, Teixeira et al. discuss emerging strategies for developing and improving engineered-cell therapies. They outline progress from ex vivo engineered autologous cells to in vivo reprogramming, advances in delivery systems and the remaining translational barriers.

New online! Next-generation programmable cell therapies for precision medicine

🚀 New in Communications Biology:
Generative models of cell dynamics - from Neural ODEs to Flow Matching
www.nature.com/articles/s42...

We discuss modeling single-cell dynamics beyond snapshots: from cont-time Neural ODEs to simulation-free flow matching for scalable pop modeling.

The promises and challenges of neoantigen cancer vaccines - Nature Biotechnology Surveying recent progress in neoantigen cancer vaccine development, this Review highlights areas where further technological advances and optimized trial design could enhance clinical impact.

The promises and challenges of neoantigen cancer vaccines - @danafarber.bsky.social @harvardmed.bsky.social go.nature.com/3NipMkF

Gene regulatory networks: from correlative models to causal explanations Nature Reviews Genetics, Published online: 09 March 2026; doi:10.1038/s41576-026-00939-1In this Perspective, Maizels and Briscoe discuss the limitations of current models of gene regulatory networks and outline solutions to harness data abundance without compromising explanatory power.

New online! Gene regulatory networks: from correlative models to causal explanations

Cell-free chromatin state tracing reveals disease origin and therapy responses - Nature cf-EpiTracing enables automated profiling of histone modifications in cell-free DNA from human plasma, allowing identification of the cells of origin and disease diagnosis.

Nature research paper: Cell-free chromatin state tracing reveals disease origin and therapy responses

go.nature.com/4b32oPZ

kallisto sped up RNA-seq quantification by 50x. Now another 50x speedup... quantify hundreds of millions of reads in a few seconds.

This seems too good to be true. But it's true!
Incredible accomplishment by @pmelsted.bsky.social.

Check out our new paper from @dkfz.bsky.social in which we found a suprising role of cIAP1 inhibitor of apoptosis (BIRC2) as tumor suppressor in Ewing #sarcoma

www.sciencedirect.com/science/arti...

Paper alert 🚨 @ MLGenX @iclr-conf.bsky.social 2026!
PertOmni - CLIP-style multimodal representation-learning framework for contrastive alignment of perturbation readouts and textual embeddings.

Charting single-cell lineages with synthetic and natural barcodes - Nature Reviews Genetics In this Review, Rodriguez-Fraticelli and Parreno discuss advances in single-cell lineage-tracing methods and how their application to diverse biological processes, such as development, ageing and canc...

Charting single-cell lineages with synthetic and natural barcodes #Review by @alejofraticelli.bsky.social & Victoria Parreno go.nature.com/4b0xUyb
Free to read here: rdcu.be/e50gy

🎗️Tomorrow is #RareDiseaseDay.

Rare cancers represent 1 in 5 diagnoses and 1 in 3 cancer deaths.

Through its Rare Cancers Task Force, SPECTA & clinical trials, EORTC is advancing research and expanding treatment options for rare & ultra-rare cancers.

🔗 www.eortc.org/blog/2026/02...

Screenshot of article

Dose-finding and optimization in drug development for rare diseases
www.nature.com/articles/d41...

This new article discusses approaches to determining the dose of a drug for rare diseases, which is more challenging than typical because so few patients are involved in clinical trials

It’s finally out! Together with @embopress.org and
@reviewcommons.org, we conducted a structured side-by-side comparison of human peer review and our AI scientific review (see thread 👇👇👇🔥).

Agentic AI and the rise of in silico team science in biomedical research - Nature Biotechnology This study examines the emerging use of agentic artificial intelligence (AI) in biomedical research, highlighting the challenges and opportunities that may inform the design of agentic AI systems suit...

Agentic AI and the rise of in silico team science in biomedical research - @moorejh.bsky.social go.nature.com/3ZRlP9v

Partially shared multi-modal embedding learns holistic representation of cell state - Nature Computational Science APOLLO is an autoencoder-based framework to integrate diverse data modalities while preserving both shared and modality-specific information. It enables predicting missing data modalities and identify...

📢Caroline Uhler and colleagues from Eric and Wendy Schmidt Center at @broadinstitute.org present APOLLO, a framework to integrate diverse data modalities, enabling predicting missing data modalities and identifying the influence of each modality on a phenotype. www.nature.com/articles/s43... 🖥️ 🧬

🚀 From modality-specific to compositional foundation models for cell biology

Happy to share our new Perspective in Cell Systems.

We describe an emerging shift toward compositional multimodal architectures 🧩
authors.elsevier.com/c/1mdzg8YyDf...

Elise Nassif Haddad: 1-Year Sarcoma Fellowship at MD Anderson Cancer Center - OncoDaily Elise Nassif Haddad: 1-Year Sarcoma Fellowship at MD Anderson Cancer Center / cancer, Elise Nassif Haddad, MD Anderson Cancer Center, OncoDaily, Oncology

1-Year Sarcoma Fellowship at MD Anderson Cancer Center - Elise Nassif Haddad

@elise-nassifhaddad.bsky.social @mdanderson.bsky.social
sky.social @fadihaddadmd.bsky.social

oncodaily.com/voices/elise...

#OncoDaily #Oncology #Cancer #Health #Medicine #MedEd #MedOnc #MedNews #Sarcoma #Fellowship

Finding one mutation that improves a protein is hard. Finding five that work together is exponentially harder.

Today in @science.org, Hsu and Konermann labs present MULTI-evolve, a lab-in-the-loop framework that does it in just one machine learning-guided round.

🎉 excited to announce that applications are now open for our 1-year Sarcoma Fellowship starting 07/01/26 at @mdanderson.bsky.social

📅 Apply by 03/10/26
🧬 Advanced training
🤝 Multidisciplinary expertise
🚀 Launch your sarcoma career
🌟 Join us in improving care and advancing research

Toward informed batch correction for single-cell transcriptome integration - Nature Computational Science Batch effects pose substantial challenges for obtaining meaningful biological insights from large-scale yet heterogeneous single-cell RNA-sequencing datasets. Here the authors review widely adopted ba...

📢New Perspective out! @penghe.bsky.social, @teichlab.bsky.social and colleagues review widely adopted batch correction methods and propose a path toward more informed, context-aware approaches for future method development. www.nature.com/articles/s43... 🖥️ 🧬

🔓 rdcu.be/e4pUJ

Intratumor Heterogeneity and Clonal Evolution in Sarcomas: Molecular, Cellular, and Functional Drivers of Therapy Resistance Sarcomas, malignant neoplasms of mesenchymal origin, comprise more than 100 entities and numerous histologic subtypes. Their relative rarity compared …

Intratumor Heterogeneity and Clonal Evolution in Sarcomas: Molecular, Cellular, and Functional Drivers of Therapy Resistance

www.sciencedirect.com/science/arti...

Super happy that our lab @dkfz.bsky.social has contributed to the largest Ewing sarcoma GWAS to date:

Genome-wide association study meta-analysis identifies susceptibility loci informing Ewing sarcoma etiology and potential mechanisms of risk

medrxiv.org/cgi/content/short/2026.02.06.26345779v1

ZFTA–RELA ependymomas make itaconate to epigenetically drive fusion expression - Nature The ZFTA–RELA fusion, an oncogene for ependymomas, promotes the production of itaconate, and its dependence on this metabolite represents a new therapeutic target for this cancer.

Nature research paper: ZFTA–RELA ependymomas make itaconate to epigenetically drive fusion expression

go.nature.com/4qdhIix

This is figure 2, which shows the performance of LLMs alone and with users.

A paper in Nature Medicine suggests that large language models may not help members of the public make better decisions about their health in everyday medical situations. go.nature.com/3ZXokH4 #medsky 🧪

OpenClaw AI chatbots are running amok — these scientists are listening in Artificial-intelligence agents have their own social-media platform and are publishing AI-generated research papers on their own preprint server.

Artificial-intelligence agents have their own social-media platform and are publishing AI-generated research papers on their own preprint server.

go.nature.com/4tmsJRm

Synthesizing scientific literature with retrieval-augmented language models - Nature A specialized, open-source, retrieval-augmented language model is introduced for answering scientific queries and synthesizing literature, the responses of which are shown to be preferred by human evaluations over expert-written answers.

Nature research paper: Synthesizing scientific literature with retrieval-augmented language models

go.nature.com/3ZdSCVU

To be safe and effective, medical #AI must adapt to new contexts — differences in users, health systems, geographies, diseases.
Our latest Review proposes strategies and opportunities for context-switching in medical AI. Marinka Zitnik
https://www.nature.com/articles/s41591-025-04184-7

CellRank protocol now in @NatureProtocols! 🎉

@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...

A benchmark of expert-level academic questions to assess AI capabilities - Nature Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

Benchmarks are important tools for tracking advancements in large language model capabilities. A paper in Nature presents Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, designed to be an expert-level closed-ended academic benchmark with broad subject coverage. 🧪

Figure 2 The dimensions of cancer CREDIT Hanahan - Cell.

An update to the Hallmarks of Cancer framework for understanding (and researching) what causes human cancers. spkl.io/63321Aqwbc

Douglas Hanahan
@cp-cell.bsky.social