The bottleneck in single-cell research has shifted to analysis. Excited to partner with @10xGenomics and @nvidia to address this challenge. 🔗 Full announcement here: bioturing.com/blog/bioturing…

You can now reproduce the BioEngineX workflow in a few steps. Open the notebook in Talk2Data, add your token, run DEG across tissues and cell types, export results, and explore the full workflow. See process in action: 411f53.share-na2.hsforms.com…

BioEngineX is now live in Talk2Data. Our new SDK replicated a 2024 PD-L1 finding in CF B cells in just minutes. If disease context or repurposing is your priority, BioEngineX brings clarity fast. Full story: 411f53.share-na2.hsforms.com…

When annotations get messy, SpatialX keeps them clear. CD19 lights up the B-cell population instantly, transforming clusters into interpretable biology. Need smoother cell annotation? Try SpatialX: bioturing.com/spatialx

Human Cell Atlas data is accessible in Talk2Data. Bring atlas-scale context into daily analysis without switching tools. Search, compare, validate. Press release: bioturing.com/blog/bioturing… Start exploring here: talk2data.bioturing.com/?tab…

One workspace. Single-cell, bulk, and spatial. Talk2Data now includes spatial with an easy toggle across technologies - find the right slides, see where expression appears in tissue, then jump into SpatialX for deeper analysis! Explore: talk2data.bioturing.com

Analyzing hundreds of millions of cells used to take days. Now it happens in real time! With Talk2Data on NVIDIA Blackwell GPUs, researchers can run pseudotime, DEG, and marker discovery - or ask plain language questions with AI-Sonya. 🔗bioturing.com/blog/the-found…

A leap forward in bioinformatics: BioTuring integrates ImmGen’s benchmark datasets into our platforms, enabling instant, intuitive multi-omics exploration for scientists. 👉 Public access, now in Talk2Data: talk2data.bioturing.com/ 📖 Full press release: bioturing.com/blog/immgen-bi…

For the first time, scientists and data are in dialogue! 👉 500M cells, ready to talk at: lnkd.in/gi8-rH4H

Meet Talk2Data, powered by NVIDIA Blackwell GPUs, delivers real-time exploration of 500M single cells. Compare studies and test hypotheses across species in seconds-no code needed. Explore at talk2data.bioturing.com/ #BioTuring #Talk2Data

We're excited to announce our partnership with @bioturing and the Go Optical STOmics Microscope at the NextGen Omics & Spatial Biology Conference this week. completegenomics.com/bioturi… #NGOUS2025 #NextGenOmics #SpatialBiology

New from @arcinstitute: Evo 2, the largest (by training compute) biology ML model ever, and one of the largest-ever open source ML models in any category. Evo 2 is a foundation model trained on 9T DNA base pairs that learns a lot of fundamental details about life. A few examples of why it's cool: Evo 2 seems to learn about pathogenic human mutations. Despite having just a single human genome in the training set, the model is zero-shot SOTA at predicting harmful BRCA1 mutations. (See attached figure.) I find this to be pretty amazing -- there's some kind of emergent understanding of cross-species biological function, despite fully unsupervised training. Training a sparse autoencoder on Evo 2 results in a model that learns higher-level features across species, setting the stage for biological mechanistic interpretability. For example, the model appears to learn a general concept of coding regions (parts of the genome that are turned into proteins). This feature activates across human, bacterial, and wooly mammoth DNA (the latter of which wasn't included in the training set), even though the coding regions are represented quite differently across different different parts of the tree of life. We're quite excited about where this can go. Since it's an autoregressive model, Evo 2 can also help with genomic generation. For example, Evo 2 can be used to generate DNA with tailored chromatin accessibility (i.e. controlling how much of it is likely to be transcribed), unlocking new possibilities in synthetic biology.

🧬Cancer researchers at @BioTuring, an NVIDIA Inception member, unveiled a new #AI model to answer some of the most complex challenges in clinical oncological research. See how their new model provides cellular-level mapping and visualizations of cancer cells, which scientists hope can shed light on how—and why—certain inter-cellular relationships trigger cancers to grow. ➡️ developer.nvidia.com/blog/ne… #WorldCancerDay2025

We’re proud to share our latest AI-powered model, providing a cellular-level view of cancerous tumors to advance cancer research. Huge thanks to NVIDIA for featuring our work! 🎉 Check out the blog here👇 🔗developer.nvidia.com/blog/ne…

Explore how SpatialX helps uncover insights into glioblastoma infiltration and therapeutic targets. 🧠 📅 Jan 24, 2025 🕘 9 AM PT | 12 PM ET | 6 PM CET 🔗 Register: lnkd.in/g4nYRH2D #Glioblastoma #SpatialBiology #CancerResearch

Excited to join the CNS 2025 showcase! @AlexisGarduno5 will present “Accelerating Single-Cell Transcriptomic Research with the BioTuring Ecosystem,” showcasing how our tools drive innovation. Thank you, @cnscenter , for the opportunity! #SingleCell #Bioinformatics

Exciting research update! @bmsnews @TakedaPharma , and @bioturing are utilizing Neuromics Human Primary Pancreatic Cancer-Associated Fibroblasts to delve into genetic variations between 2-D and 3-D "in vivo" like assays. Learn more. tinyurl.com/yc7x3kka Image: Image: Gene expression profile of Neuromics Pancreatic CAFs and BxPC3 cells in 2D and 3D monocultures and cocultures. Different culture conditions lead to changing expression profiles. I wish all our valued customers, distributors, and collaborators a prosperous 2025! @VWR @thermofisher @theNCI @Neuromics @Neuromics @DanaFarber @CDC_Cancer #CancerResearch #Cancer

2024 was a year of innovation, transformative platforms, impactful partnerships, and community growth. Thank you for being part of this wonderful journey. Here’s to an even more remarkable 2025🥂📷 #singlecell #spatialbiology #bioinformatics #RNAseq