Jeff Nirschl

M.D.–Ph.D. interested in computational image analysis, digital pathology, and neuropathology. Personal account: all opinions are my own.

[Jeff Nirschl @jnirsch]

@ZhiHuangPhD Haha 😂

[Jeff Nirschl @jnirsch]

The @ProteinAtlas was absolutely essential to this work. The HPA graciously made their data CC-BY-SA-4.0, which enabled this work. I'm so fortunate to be a part of this outstanding team! And thanks to my postdoc mentor, @yeung_levy who encouraged me to pursue this direction.

[Jeff Nirschl @jnirsch]

Thanks, @ZhiHuangPhD! Shout-out to @Prof_Lundberg, a brilliant scientist and wonderful person who has been at the HPA for years! The Human @ProteinAtlas has been ongoing for >20 years. and is a testament to large-scale open science initiatives.
#hpa #digitalpathology #ihc

[Zhi Huang @ZhiHuangPhD]

🚀 Introducing iSight: toward expert–AI collaboration for #immunohistochemistry (IHC) assessment
Preprint: https://t.co/xpQK8p8jyR

🚀 What we built:
🖼️ HPA10M, the world’s largest open-access IHC dataset: https://t.co/6FmJHw7GcB
• 10,495,672 IHC images (Over 10M!)
• 17,000+ protein markers
• 45 normal tissues + 20 cancer types
• Fully curated, standardized, and publicly available on @huggingface.

We trained iSight, a multi-task AI system for automated IHC assessment
• Jointly predicts staining location, intensity, and quantity
• Outperforms fine-tuned pathology foundation models
• Produces well-calibrated, clinically interpretable outputs

@PennPathLabMed #DigitalPathology #AIinHealthcare #Immunohistochemistry #HumanAI #Pathology

[James Burgess @jmhb0]

Check out PaperSearchQA, which I'll present at EACL in Morocco this March! We built an RL training environment for teaching LLMs to search and reason over scientific papers. 60k question-answer pairs + 16M papers to search over + benchmarks. RL training improves the model.

[Zhi Huang @ZhiHuangPhD]

Excited to share that our lab’s latest work, Melan-Dx, a knowledge-enhanced vision-language framework for improving the differential diagnosis of melanocytic neoplasms in pathology, is now published in @npjDigitalMed! Read it at: https://t.co/z9hoZipoqO @PennPathLabMed #DigitalPathology #Dermpath

[Jeff Nirschl @jnirsch]

We're hiring! The Nirschl & Kolb (@hckolb ) labs @UWMadison are seeking a Scientist I/II to help develop novel PET tracers for neurodegenerative diseases.
- Tissue assays, autoradiography, SPR, protein biochem experience desired.

Apply here: https://t.co/XF1tCv4wuG
#PETimaging

[Jeff Nirschl @jnirsch]

@adamlewisgreen @readwise save

[Jeff Nirschl @jnirsch]

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[Jeff Nirschl @jnirsch]

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[Jeremy Howard @jeremyphoward]

Recently we released a 3000+ word book chapter written by @KeremTurgutlu, based on @karpathy's marvelous "Let's built the GPT tokenizer" video. It's got pics, links, code, diagrams, …

Kerem has now written a detailed walk-through of how he made it:
https://t.co/EIiejHe8hS

[Jeff Nirschl @jnirsch]

Amazing work, Zhi!

[Zhi Huang @ZhiHuangPhD]

Wow! https://t.co/JgHStEpCTx has reached over 1700 users in the first 30 days and almost 500 downloads 🚀🔥! What an impressive achievement by my team. So proud of my students! We will keep shipping the code, fixing the bugs, and improve user experiences. Check out the first co-evolving agentic AI system for medical image analysis! 👉https://t.co/NoX7bMTdha #TissueLab #AIAgent #AgenticAI #pathology #radiology

[Jeff Nirschl @jnirsch]

@tangming2005 @Readwiseio save

[Jeff Nirschl @jnirsch]

@karpathy @readwiseio save

[Jeff Nirschl @jnirsch]

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[Jeff Nirschl @jnirsch]

@probnstat @readwiseio save

[Jeff Nirschl @jnirsch]

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[Jeff Nirschl @jnirsch]

@ProfTomYeh @readwiseio save

[Jeff Nirschl @jnirsch]

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[Jeff Nirschl @jnirsch]

@acagamic @readwiseio save

[Jeff Nirschl @jnirsch]

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[Jeff Nirschl @jnirsch]

@erturklab @MaggieFlanagan @Readwiseio save