Furkan Kurtoglu 🧬🦠🖥️🧫 @FKurtogluSysBio

Multiscale Systems Biologist • Bridging micro and macro levels • @MathCancer Lab and @IULuddy Alumni • @PhysiCell user • Open-Source github.com/furkankurtoglu Virginia Beach, VA Joined April 2017

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Dr. Luke in China @96Stats

3 months ago

My university lab (shanghai jiao tong @sjtu1896 ) just made an “agentic” AI system for diagnosing rare diseases really well. It doesn’t just guess either, it shows traceable reasoning linked to evidence so you can verify. This specific paper looks really cool too, it works like a team (multiple agents not just one chatbot). It takes messy clinical data and outputs a really nice list with reasons, exactly whats needed! The west very rarely makes AI for rare diseases because it’s not profitable, so its nice to see China doing lots of work on it. This is the type of work that will help save lives (not chatgpt/claude chatbots..) and its where China is absolutely leading in

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Mingyao Li @DrMingyaoLi

9 months ago

Excited to share our new paper in Nature Methods! 🚀 We present iSCALE, a “Google Map” for spatial transcriptomics, scaling cellular-resolution gene expression mapping to large-sized tissues beyond the reach of current platforms. 👉nature.com/articles/s4159…

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MorphoNet @MorphoTweet

9 months ago

Having difficulties segmenting your 3D🔬 datasets ? You can try the CellposeSAM plugin🧑‍💻directly in MorphoNet in one click ! No python required 😌

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Denis Wirtz @deniswirtz

10 months ago

Human endometrial tissue mapped using CODA and InterpolAI Red: endothelial cells; yellow: epithelial cells; purple: stromal cells More about this here: biorxiv.org/content/10.110… More about CODA: nature.com/articles/s4159… More about InterpolAI: nature.com/articles/s4159…

Denis Wirtz @deniswirtz

10 months ago

In our new paper, we produced a 3D single-cell reference map to guide the design and validation of a new multi-compartment assembloid that mimics the function and architecture of the human endometrial tissue, exhibiting stromal decidualization. More here: biorxiv.org/content/10.110…

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Nature Rev Immunol @NatRevImmunol

10 months ago

Linking tumour angiogenesis and tumour immunity bit.ly/3HmulHV

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adi @adonis_singh

10 months ago

im sorry but what is this graph

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Prof. Nikolai Slavov @slavov_n

12 months ago

A periodic reminder to leave behind simplistic & naive notions.

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Yohan @yohaniddawela

12 months ago

Changing your map’s resolution can change your conclusions. It’s called the Support Effect. And it distorts everything from poverty estimates to climate models. Here’s how it works:

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Neil Renic @NC_Renic

a year ago

GPT-6 will have the intelligence to open a bakery instead of doing a PhD

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Lydia Finley @lydfinley

a year ago

Our latest work, led by @__btjackson and Angela Montero @MSKCancerCenter demonstrates how intracellular metabolic gradients induce dependence on exogenous pyruvate in embryonic stem cells

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Furkan Kurtoglu 🧬🦠🖥️🧫 @FKurtogluSysBio

a year ago

@cryptomit @GithubProjects You can run it locally with ollama using your local LLM. They support it

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Jeffrey West @mathoncbro

a year ago

The end of the genetic paradigm of cancer.

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Melike Dönertaş @melikedonertas

a year ago

Nature publishing a piece on unpaid academic labor is the best joke I’ve read in a while. nature.com/articles/d4158…

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Sushmita Roy @sroyyors.bsky.social,genomic.social @sroyyors

a year ago

Rich resource paper from HubMap nature.com/articles/s4159…

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Nurdan Kar, PhD @nkarmath

a year ago

I am happy to share that I have organized my first symposium. I look forward to many exciting contributions! ⬇️ sites.google.com/view/ymatrs-ma…

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Organoid News @organoidscience

a year ago

💾 Save this review for a literature recap on vascularized #organoids. Scientists provide an in-depth overview of the current landscape of vascularized organoid fabrication and functionality, addressing challenges and opportunities within the field. bit.ly/3FnsNfc

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Eytan Ruppin, MD, PhD @EytanRuppin

a year ago

Delighted to announce the publication of our 10 hallmarks of AI in precision oncology Review paper in Nature Cancer! This work provides a comprehensive, up-to-date synthesis of AI’s transformative role in cancer care. Check it out here: nature.com/articles/s4301…

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Holger Heyn @hoheyn

a year ago

Ever wondered why we do all these #Omics? Here is your answer: biorxiv.org/content/10.110… 📜 Multi-Omics integration of a Human Cell Atlas (@humancellatlas ) of the Kidney, coordinated by the #HCA Standards and Technology Working Group and co-led by @eli_mereu. Datasets: 10x Genomics scRNA 3´and 5 plus single-nuclei 3´ RNA-seq. Special guests: Smart-seq2 and scNMT-seq. Highlights: 1. Identification of rare and clinically relevant cell types, such as WFDC2+ thick ascending limb cells and Norn cells (EPO-producing fibroblasts). 2. Improved kidney disease trait heritability analysis and enhanced functional annotation of disease-associated loci. Extra feature: scOMM, an interpretable machine learning tool for multimodal cell-type classification and benchmarking. Enjoy reading bioRxiv & medRxiv: biorxiv.org/content/10.110…