Patrick Yap, MD, PhD @chibazhq

USA Joined July 2021

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348

Pearse Keane @pearsekeane

2 years ago

1/ 🚨🚨 New paper alert 🚨🚨 Introducing RETFound, a foundation model for ophthalmology We’re super excited about this and hope it will act as a #Cornerstone for global efforts to prevent blindness through #AI @UCLeye @Moorfields #OpenAccess @Nature nature.com/articles/s4158…

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Stephen John Sammut @stephensammut

2 years ago

Stunning #breastcancer paper out in @Nature 🤩 Cell phenotype, activation state + location influence response to immunotherapy in triple negative breast cancer!🤯 #bcsm Congrats Raza Ali, @BianchiniGP @mauricallari + colleagues this is absolutely fab! nature.com/articles/s4158…

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Pranav Rajpurkar @pranavrajpurkar

2 years ago

You can now get a PhD at Harvard in Artificial Intelligence in Medicine. Prepare to apply this fall and come work with me and my incredible colleagues. bit.ly/AIM_PHD Info session coming up: bit.ly/AIM-info

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Faisal Mahmood @AI4Pathology

2 years ago

Here's our latest - visual language pretrained multiple instance zero-shot transfer for histopathology images accepted at #CVPR2023 led by our superstars @MYLu97 and @bowen_chen_118 Paper: arxiv.org/pdf/2306.07831… Video: youtu.be/x8Ch5wsCJRw Code: github.com/mahmoodlab/MI-… If…

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Jakob Nikolas Kather @jnkath

2 years ago

Happy to share our latest paper: Transformers can predict clinical outcome directly from MRI in #rectal #cancer 🤖🤩🏥 we are extending weakly supervised deep learning approaches from pathology to radiology with @DanielTruhn @EKFZdigital @Medizin_TUD @DKFZ @NCT_UCC_DD @NCT_HD

Radiology @radiology_rsna

2 years ago

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Katie Link @katieelink

3 years ago

BioGPT-Large was just released by Microsoft 🤩 Trained from scratch on biomedical text, it's the current leader on the PubMedQA benchmark at 81% accuracy (human performance = 78%). It's also freely available on the @huggingface hub to try out (and fine-tune)!

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Sebastian Raschka @rasbt

3 years ago

The 7 approaches for dealing with limited labeled data in supervised machine learning settings: 1 Transfer learning 2 Self-supervised learning 3 Semi-supervised learning 4 Active learning 5 Few/zero-shot learning 6 Weakly-supervised learning 7 Label more data! Anything missing?

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Eric Topol @EricTopol

3 years ago

For #AI in medicine, 3 important papers published today: —Multimodal AI for #cancer pathology review sciencedirect.com/science/articl… @Cancer_Cell —Self-supervised AI for pathology nature.com/articles/s4155… @natBME —Limitations of Saliency maps nature.com/articles/s4225… @NatMachIntell

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Sohrab Shah @SohrabShah

3 years ago

Thank you @NatureCancer for reviewing our study nature.com/articles/s4301… demonstrating multimodal data integration increases capacity to predict ICB response in non-small cell lung cancer. Terrific work led by @RamiVanguri @JL_Sauter @Jia_Luo and many others. 1/8

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Pranav Rajpurkar @pranavrajpurkar

3 years ago

Delighted to share our review on "Self-supervised learning in medicine and healthcare" in Nature Biomedical Engineering. This is going to be a big paradigm shift for medical AI in upcoming years. Honor to work with @RayanKrishnan and @EricTopol on this. rdcu.be/cTukT

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Nature Medicine @NatureMedicine

3 years ago

A decentralized, privacy-preserving machine learning framework used to train a clinically relevant #AI system identifies actionable molecular alterations in #ColorectalCancer patients from histopathology slides collected in real-world settings @jnkath nature.com/articles/s4159…

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Faisal Mahmood @AI4Pathology

4 years ago

Excited to share our @NatureMedicine article showing deep learning-enabled assessment of cardiac allograft rejection from EMBs. #digitalpathology #DeepLearning #AI @harvardmed @broadinstitute @BWHPath Journal: nature.com/articles/s4159… Demo: crane.mahmoodlab.org 1/2

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Helena Jambor is gone elsewhere. @helenajambor

4 years ago

What are the top 10 science visualization trends of 2021? I summarize ten notable changes I've seen in science figures in the past year. helenajambor.wordpress.com/2022/01/04/sci…

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Kevin Monahan @kevinjmonahan

4 years ago

From diagnosis of cancer to diagnosis of #Lynchsyndrome : national workshops for colorectal and gynaecology cancer MDT clinicians focused on practical solutions ⁦@NHSEngland⁩ ⁦@BritSocGastro⁩ ⁦@ACPGBI⁩ ⁦@NBOCA_CEU⁩ ⁦@BGCS_org⁩ eventbrite.co.uk/e/national-wor…

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David Joon Ho @davidjoonho

4 years ago

We are releasing Deep Multi-Magnification Network code and pretrained breast model at github.com/MSKCC-Computat… Feel free to try it if you are interested in multi-class tissue segmentation of pathology images. The paper can be found at doi.org/10.1016/j.comp… @fuchslab

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Viktor Petukhov @PetukhovViktor

4 years ago

Final version of the Baysor publication is now online! In the new version we added 3D segmentation, analysis of cell compartments and a MERFISH gut dataset, thanks for to Jeff Moffit, Rosalind Xu, and Paolo Cadinu! And the methods are fully rewritten. nature.com/articles/s4158…

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Aurélien Geron @aureliengeron

4 years ago

My favorite Python 3.5 feature: the matrix multiplication operator @ 👇Python features thread👇

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Kyle Devins, MD @md_kyle

4 years ago

Adult Granulosa Cell Tumor with High-Grade Transformation 🔬 Conventional AGCT showing abrupt transition to high-grade component with severe atypia, numerous apoptotic bodies and mitotic figures 🔬 Aberrant p53 IHC and TP53 mutations in high-grade component #GYNPath

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Sadaf Shadan @sshadan

4 years ago

2 Papers @Nature on the use of enhanced FIB-SEM to image cells and tissues at up to 4nm per voxel. The authors' AI-based analysis pipeline, which they used for reconstruction of 35 organelle classes, is available via OpenOrganelle go.nature.com/3lhin4w go.nature.com/3oEsthG

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Miles Cranmer @MilesCranmer

4 years ago

Our paper demonstrating the power of Bayesian Neural Networks for planetary dynamics comes out in PNAS today! pnas.org/content/118/40… (open access) This paper explores a match made in heaven: chaotic systems and Bayesian neural networks. Thread: