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Thomas J. Fuchs Profile
Thomas J. Fuchs

@ThomasFuchsAI

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3K
Following
8K
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76
Statuses
893

Chief AI Officer. Prof. @fuchslab. Founder of @paige_ai.

Manhattan, NY
Joined December 2017
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@RobertHirten
Robert Hirten MD
11 months
Thank you @EricTopol for highlighting our work using wearable devices to monitor and predict inflammatory bowel disease flares- an exciting step forward for managing chronic inflammatory conditions using wearable devices! @MountSinaiGI @AGA_Gastro @DOMSinaiNYC @IcahnMountSinai
@EricTopol
Eric Topol
11 months
How wearable sensors (@Oura, @fitbit, or @Apple watch) detected subclinical inflammation up to 7 weeks before a flare of inflammatory bowel disease https://t.co/JyPjWeO80g @RobertHirten @HPI_MS @MountSinaiNYC
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@AIHealthMtSinai
AI and Human Health at Mount Sinai
1 year
We would like to once again thank @ThomasFuchsAI for his dedication and leadership as Dean of AI and Human Health, which led to innovative research initiatives and the development and implementation of cutting-edge tech. We wish him the best of luck in his new position.
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@PearlF
Pearl Freier
1 year
Eli Lilly recruited @ThomasFuchsAI (NYC-based @paige_ai founder & Dean & dept chair for AI and Human Health at @MountSinaiNYC & Director of @HPI_MS) to be their 1st Chief AI Officer. He starts on 10/21 https://t.co/eabCsIbGOn $LLY. Congrats
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biopharmadive.com
Thomas Fuchs will lead artificial intelligence initiatives across Lilly, including in drug discovery, clinical trials and manufacturing.
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@davidjoonho
David Joon Ho
1 year
Ho Lab is so grateful to host @ThomasFuchsAI at National Cancer Center. We heard his seminar talk entitled “15 Years of Computational Pathology: From Humble Beginnings to Large-Scale Foundation Models” and had many productive discussions with him. Thank you for visiting us!
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@ThomasFuchsAI
Thomas J. Fuchs
1 year
Very proud of this extensive study and the amazing team! It beautifully demonstrates to what #AI is capable in #oncology and how broad the impact on cancer care will be.
@paige_ai
Paige
1 year
Our newly published research demonstrates how OmniScreen can predict over 1,200 molecular biomarkers from routine H&E-stained pathology slides across multiple cancer types 🔖
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@paige_ai
Paige
1 year
Paige's new AI module, OmniScreen, is capable of predicting a wide range of clinically relevant molecular biomarkers across multiple cancer types. By replicating a targeted panel of 505 genes, OmniScreen can simultaneously predict 1,228 biomarkers
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businesswire.com
Paige, a leader in next-generation AI technology, announces the launch of OmniScreen, a pioneering AI-driven biomarker module capable of evaluating over 505 ...
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@nfusi
Nicolò Fusi
1 year
We’re excited to share our latest work with @paige_ai on (vision) foundation models of pathology. In this study, we introduce Virchow2 and Virchow2G, significantly increasing the scale of our previous work both in terms of data and parameters, with Virchow 2G reaching 1.85B
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@IcahnCMIN
CMIN
1 year
Analysis of histopathology images w/ #AI aims to enable clinical decision support systems & precision medicine but depends on ability to model diverse patterns observed in pathology images. Here, @ThomasFuchsAI, et al. present 'Virchow'! @NatureMedicine https://t.co/fLunLeCdCk
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@AIHealthMtSinai
AI and Human Health at Mount Sinai
1 year
We thank @ThomasFuchsAI for his hard work and dedication as Chair of @AIHealthMtSinai and for advancing AI initiatives through research & collaboration, helping Mount Sinai develop cutting-edge tech to support physicians and aid patients. We wish him luck in his future endeavors.
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@FresiaPareja
Fresia Pareja
1 year
Thank you @CR_AACR for highlighting our work. This collaboration between @MSKCancerCenter and @paige_ai showcases how integrating AI and genomics can help discover novel biology. Truly grateful to Jorge Reis-Filho, @ThomasFuchsAI @DavidKlimstra and all the amazing contributors
@CR_AACR
Cancer Research
1 year
#OnlineFirst in the Convergence Science section—A Genomics-Driven Artificial Intelligence-Based Model Classifies Breast Invasive Lobular Carcinoma and Discovers CDH1 Inactivating Mechanisms, by @FresiaPareja et al. https://t.co/qG8WgXk5nN @MSKCancerCenter @MSKPathology @paige_ai
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@asdp_ai
Asian Society of Digital Pathology - ASDP
1 year
🌟 Introducing Keynote Speaker: @ThomasFuchsAI at #ASDP2024Seoul! 👨🏼‍🏫 We are excited to welcome Thomas Fuchs from @IcahnMountSinai, USA, as a keynote speaker for ASDP 2024 Seoul #ASDP #ArtificialIntelligence #Medicine #pathX #pathTwitter
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@nvidia
NVIDIA
1 year
Improved cancer diagnostics could be among the changes #generativeAI will bring to the healthcare industry, thanks to @paige_ai, the first company with an FDA-approved tool for cancer diagnosis. Learn more in the AI Podcast.
blogs.nvidia.com
Improved cancer diagnostics — and improved patient outcomes — could be among the changes generative AI will bring to the healthcare industry, thanks to Paige, the first company with an FDA-approved...
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@AIHealthMtSinai
AI and Human Health at Mount Sinai
1 year
A #FoundationModel is just the first step in revolutionizing AI for #pathology. But how can we effectively aggregate thousands of tile embeddings for a whole slide? @ThomasFuchsAI, grad student @GaskellChen & team have a new paper on this. Read on @arxiv:
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arxiv.org
Recent advances in artificial intelligence (AI), in particular self-supervised learning of foundation models (FMs), are revolutionizing medical imaging and computational pathology (CPath). A...
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@AIHealthMtSinai
AI and Human Health at Mount Sinai
1 year
Check out @AIHealthMtSinai & @SinaiMSTP student @EmilyLLeventhal at @mdphdcon presenting on 7/12, 2-3pm at the Blue Spruce/Aspen room. She will be presenting her work on mHealth-tracked mental health symptoms and their predictors in chronic pelvic pain patients.
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@glfceo
Tatyana Kanzaveli
1 year
At @MountSinaiNYC millions of slides (pathology ) has been digitized says @ThomasFuchsAI at the #AISummit at @MayoClinic . Algorithm has been developed to train AI . Paige company has been founded . Extensive work with FDA resulted in approval of the product as a breakthrough
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@AIHealthMtSinai
AI and Human Health at Mount Sinai
1 year
Meet Ruchika (@Ruchika__Verma), PhD, the newest computational scientist to join the Windreich Department of AI and Human Health. Her research focuses on machine learning algorithms to address challenges in evidence-based personalized oncology.
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@AIHealthMtSinai
AI and Human Health at Mount Sinai
1 year
Check out Ipek Ensari, PhD, at #HJ24 at the “How AI is revolutionizing cancer detection and care” panel, 6/7 at 4:15 PM! Moderated by journalist Karen Blum, Dr. Ensari joins the discussion alongside other experts on how AI is helping both patients and clinicians in oncology.
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@HRTizhoosh
H.R. Tizhoosh
2 years
“Beyond 1 million Slides: How the Era of Foundation Models is Super Charging Precision Medicine” - Keynote by Dr. Thomas Fuchs (@ThomasFuchsAI ) July 8, 2024, 10:30am - Hilton, Rochester, MN URL: https://t.co/zV4AtpGczQ #FoundationModels #AI #Medicine #Pathology
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