Health and Me

Rachel V Thomas

Microsoft's new AI model GigaTime to expand access to cancer care, says CEO Satya Nadella

Tech giant Microsoft's new artificial intelligence model GigaTIME will help reduce time and cost as well as expand access to <a href="https://www.healthandme.com/health/cancer">cancer</a> care, said CEO Satya Nadella today.

Nadella noted that its multimodal AI system has shown promise in transforming routine pathology slides into detailed spatial proteomics data -- a high-resolution map of proteins.

The advanced technology may help doctors analyze tumors faster, thus bringing hope to millions of cancer patients worldwide for a better and faster diagnosis.

Taking to social media platform X, Nadella said: “We’ve trained a multimodal AI model to turn routine pathology slides into spatial proteomics, with the potential to reduce time and cost while expanding access to cancer care”.

GigaTIME is a multimodal AI model for translating routinely available hematoxylin and eosin (H&amp;E) pathology slides to virtual multiplex immunofluorescence (mIF) images.

H&amp;E is the "gold standard" technique in pathology for diagnosing cancer. The mIF images share details of proteins and their locations in cancer cells, thus advancing precision immuno-oncology research.

Developed in collaboration with Providence and the University of Washington, the team trained GigaTIME on a dataset of 40 million cells with paired H&amp;E and mIF images across 21 protein channels.

The multimodal AI, which analyzed standard pathology slides, showed the potential to generate a “virtual population” of tumor cells. It also revealed the detailed protein activity within cancer cells.

The images also offer deeper insights into how tumors behave and disease progression, enabling doctors to cut down the time and cost of diagnosis.

“GigaTIME is about unlocking insights that were previously out of reach,” explained Carlo Bifulco, chief medical officer of Providence Genomics and medical director of cancer genomics and precision oncology at the Providence Cancer Institute, in a Microsoft Blogpost

“By analyzing the tumor microenvironment of thousands of patients, GigaTIME has the potential to accelerate discoveries that will shape the future of precision oncology and improve patient outcomes,” Bifulco added.

In the paper, detailed in the journal Cell, scientists from Microsoft reported that they applied GigaTIME to 14,256 cancer patients from 51 hospitals and over a thousand clinics.

The AI system generated a virtual population of around 300,000 mIF images spanning 24 cancer types and 306 cancer subtypes.

This virtual population uncovered 1,234 statistically significant associations linking mIF protein activations with key clinical attributes such as biomarkers, staging, and patient survival.

"By translating readily available H&amp;E pathology slides into high-resolution virtual mIF data, GigaTIME provides a novel research framework for exploring precision immuno-oncology through population-scale TIME analysis and discovery," the researchers said.

"The GigaTIME model is publicly available to help accelerate clinical research in precision oncology," they added.

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Tech giant Microsoft's new artificial intelligence model GigaTIME will help reduce time and cost as well as expand access to cancer care, said CEO Satya Nadella today. Nadella noted that its multimodal AI system has shown promise in transforming routine pathology slides into detailed spatial proteomics data -- a high-resolution map of proteins. The advanced technology may help doctors analyze tumors faster, thus bringing hope to millions of cancer patients worldwide for a better and faster diagnosis. Taking to social media platform X, Nadella said: “We’ve trained a multimodal AI model to turn routine pathology slides into spatial proteomics, with the potential to reduce time and cost while expanding access to cancer care”.  We’ve trained a multimodal AI model to turn routine pathology slides into spatial proteomics, with the potential to reduce time and cost while expanding access to cancer care. pic.twitter.com/OCptXdsUm1&mdash; Satya Nadella (@satyanadella) March 15, 2026 ]]> What is GigaTIME GigaTIME is a multimodal AI model for translating routinely available hematoxylin and eosin (H&E) pathology slides to virtual multiplex immunofluorescence (mIF) images. H&E is the "gold standard" technique in pathology for diagnosing cancer. The mIF images share details of proteins and their locations in cancer cells, thus advancing precision immuno-oncology research. Developed in collaboration with Providence and the University of Washington, the team trained GigaTIME on a dataset of 40 million cells with paired H&E and mIF images across 21 protein channels. The multimodal AI, which analyzed standard pathology slides, showed the potential to generate a “virtual population” of tumor cells. It also revealed the detailed protein activity within cancer cells. The images also offer deeper insights into how tumors behave and disease progression, enabling doctors to cut down the time and cost of diagnosis. “GigaTIME is about unlocking insights that were previously out of reach,” explained Carlo Bifulco, chief medical officer of Providence Genomics and medical director of cancer genomics and precision oncology at the Providence Cancer Institute, in a Microsoft Blogpost “By analyzing the tumor microenvironment of thousands of patients, GigaTIME has the potential to accelerate discoveries that will shape the future of precision oncology and improve patient outcomes,” Bifulco added. How GigaTIME Works In the paper, detailed in the journal Cell, scientists from Microsoft reported that they applied GigaTIME to 14,256 cancer patients from 51 hospitals and over a thousand clinics. The AI system generated a virtual population of around 300,000 mIF images spanning 24 cancer types and 306 cancer subtypes. This virtual population uncovered 1,234 statistically significant associations linking mIF protein activations with key clinical attributes such as biomarkers, staging, and patient survival. "By translating readily available H&E pathology slides into high-resolution virtual mIF data, GigaTIME provides a novel research framework for exploring precision immuno-oncology through population-scale TIME analysis and discovery," the researchers said. "The GigaTIME model is publicly available to help accelerate clinical research in precision oncology," they added.