#GigaTIME
A major advance in cancer using multimodal AI to do virtual proteomics of H&E slides, unraveling the tumor microenvironment, key proteins, biomarkers, and informing prognosis
@cellcellpress.bsky.social @hoifungpoon.bsky.social
@msftresearch.bsky.social

cell.com/cell/fulltex...
Multimodal AI generates virtual population for tumor microenvironment modeling
GigaTIME leverages multimodal AI to generate virtual multiplex immunofluorescence (mIF) profiles from standard H&E slides, enabling comprehensive tumor immune microenvironment modeling across a large ...
cell.com
December 9, 2025 at 4:41 PM
What if pathology foundation models could do more with less? GigaPath-Flash and GigaTIME-Flash cut computational demands while maintaining strong performance, opening the door to larger studies and broader exploration. www.microsoft.com/en-us/resear...
August 31, 2026 at 4:03 PM
Microsoft Research, Providence, and UW develop the GigaTIME AI model, aiming to perform tumor analysis in a fraction of the time and cost of existing methods (Lisa Stiffler/GeekWire)

Main Link | Techmeme Permalink
December 10, 2025 at 5:25 AM
Se llaman GigaPath-Flash y GigaTIME-Flash , y su gran hallazgo es que se puede analizar una laminilla completa de tejido tumoral con casi la misma precision que los modelos gigantes, pero gastando una fraccion de los recursos.
Una IA de patologia detecta el tumor con 50 veces menos computo y casi la misma precision - Sinaptica
El descubrimiento Un equipo de Microsoft Research, en colaboracion con la red hospitalaria Providence y la Universidad de Washington, presento dos modelos de in
sinapti.ca
July 21, 2026 at 7:00 PM
This research article introduces GigaTIME, an AI system designed to model the tumor immune microenvironment at scale, enabling researchers to simulate data for thousands of patients and create a large “virtual population” for cancer analysis.

www.microsoft.com/en-us/resear...

#ai
AI-generated population-scale is changing how we study cancer
Using AI-generated virtual populations, Microsoft researchers uncovered hidden cellular patterns that could reshape how we understand and treat cancer.
www.microsoft.com
March 16, 2026 at 1:30 PM
Dr. @ertrunnell.bsky.social thanks for posting. While there is much yet to do, think in not too distant future #GigaTIME will have a major impact in tailoring therapies to patients with #cancer #GSK #Astrazeneca #Regeneron #Abbvie #incyte #FDA #NCI #FinishCancer
December 24, 2025 at 5:50 AM
Excited to share a short and sweet video showcasing the science and people behind our GigaTIME paper, recently published in Cell: youtube.com/watch?v=fVZc.... Thanks Joseph Tartakoff and
@Microsoft CEO Office for driving the production.
Scaling insights into immunotherapy with GigaTIME
YouTube video by Microsoft
youtube.com
March 4, 2026 at 5:07 AM
Hoifung Poon, PhD, formerly General Manager of Microsoft Research, has joined Recursion as the company’s first Chief AI Officer. In 15+ years at Microsoft, he led pioneering work in biomedical AI, multimodal foundation models & causal machine learning – including PubMedBERT, GigaPath & GigaTIME.
July 27, 2026 at 4:49 PM
They are called GigaPath-Flash and GigaTIME-Flash , and their great finding is that a complete slide of tumor tissue can be analyzed with almost the same precision as giant models, but using a fraction of the resources.
An AI for pathology detects tumors with 50 times less computation and nearly the same accuracy. - Sinaptica
The Discovery A team from Microsoft Research, in collaboration with the Providence hospital network and the University of Washington, presented two artificial i
sinapti.ca
July 21, 2026 at 6:41 PM
GigaTIME AI tool advances cancer research
GigaTIME AI tool advances cancer research
Microsoft Research’s GigaTIME converts routine pathology slides into detailed digital maps to study tumour microenvironments at scale.
dlvr.it
December 9, 2025 at 7:15 PM
GigaPath-FlashとGigaTIME-Flash:効率的な病理学基盤モデルによる大規模疾患発見への道

効率的な病理学基盤モデルGigaPath-FlashとGigaTIME-Flashによる大規模疾患発見。

#病理AI #基盤モデル #医療画像処理 #マルチモーダルAI #効率的AI
GigaPath-FlashとGigaTIME-Flash:効率的な病理学基盤モデルによる大規模疾患発見への道
効率的な病理学基盤モデルGigaPath-FlashとGigaTIME-Flashによる大規模疾患発見。
ai.warp-studio.com
September 1, 2026 at 12:56 AM
News in Proteomics Research blog post | GigaTime - AI decoding of multiplexed imaging slides! proteomicsnews.blogs...

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#proteomics #prot-other
December 11, 2025 at 2:40 PM
Microsoft released GigaTIME, an open-source #AI model that can extract tumor insights from a $10 tissue slide, potentially revolutionizing cancer research
December 11, 2025 at 2:31 AM
@cellcellpress.bsky.social preview: GigaTIME, an expansive population-scale analysis of the tumor immune microenvironment of over 14,000 patients across 24 cancer types, enabling clinical discovery and patient stratification
www.cell.com/cell/fulltex...
January 22, 2026 at 8:58 PM
Microsoft trains AI model to convert standard pathology slides into protein maps
Microsoft trains AI model to convert standard pathology slides into protein maps
The model, called GigaTIME, is intended to cut the cost and complexity of spatial proteomics in cancer diagnostics
dlvr.it
March 16, 2026 at 6:46 PM
What time is it? It’s GigaTIME! @msftresearch.bsky.social, Providence & #UWAllen researchers recently unveiled an #AI tool that generates detailed cancer tumor data at scale from standard pathology slides—at a fraction of the time and cost of prior methods: www.geekwire.com/2025/microso... #ThisIsUW
Microsoft, Providence and UW create AI that unlocks tumor insights at a scale previously out of reach
Tech and cancer researchers are publicly releasing an AI tool that can perform sophisticated tumor analysis in a fraction of the time and cost of existing methods.
www.geekwire.com
December 17, 2025 at 8:14 PM
📰New & Featured | #GigaTIME for #TME modeling
💡Provides a multimodal #AI framework to translate #H&E images into #mIF images
💡Effectively simulates virtual spatial #proteomics across large, heterogeneous patient cohorts
💡To study TME without #wet-lab assays for each sample
December 11, 2025 at 6:02 PM
AI-generated population-scale is changing how we study cancer
By analyzing the tumor microenvironment of thousands of patients, GigaTIME has the potential to accelerate discoveries that will shape the future of precision oncology & improve patient outcomes
AI-generated population-scale is changing how we study cancer
Using AI-generated virtual populations, Microsoft researchers uncovered hidden cellular patterns that could reshape how we understand and treat cancer.
www.microsoft.com
December 10, 2025 at 3:15 PM