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Find similar grantsMicrosoft AI for Health is sponsored by Microsoft. Provides grants and Azure credits to nonprofits and researchers using AI to improve health outcomes globally.
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AI for Health - Microsoft Research Human-computer interaction Human language technologies Data platforms and analytics Programming languages & software engineering Security, privacy & cryptography Medical, health & genomics Technology for emerging markets Events & academic conferences Microsoft Research podcast Microsoft Research newsletter Mixed Reality & AI - Cambridge Mixed Reality & AI - Zurich Research and collaborations contributing to the Microsoft AI for Health program AI for Health is a philanthropic program launched by Microsoft, which aims to support nonprofits, researchers, and organizations working on global health challenges.
The program provides access to artificial intelligence (AI) technology and expertise in three main areas: By integrating data from various health sectors and utilizing AI and visualization techniques, the program aims to offer decision-makers valuable insights into the factors driving diseases.
AI is applied to image-based data to improve clinical decision-making processes, extend the reach of imaging tools, and enhance their precision and accuracy. AI is utilized to analyze genomic and proteomic data. It can help predict disease risks and identify specific areas in proteins that require further investigation for potential disease intervention.
Since its launch in January 2020, the AI for Health Program has partnered with more than 200 grantees, supporting projects that accelerate medical research, enhance research capabilities, increase global health insights, and address health inequities.
Understanding health equity The AI for Health dashboard provides an opportunity for researchers and other interested parties to easily explore relationships between county-level measures of health status, health services utilization and quality, and social determinants of health.
AI4HealthyCities is an initiative by the Novartis Foundation in collaboration with Microsoft AI for Health and local partners, bringing together existent but disconnected sets of data within a city and using advanced analytics and AI to uncover cardiovascular risk factors in its population. Chatbot app aims to combat smoking addiction Over 1. 3 billion individuals are regular smokers, causing 7.
7 million annual deaths, with 1. 3 million non-smokers affected by second-hand smoke exposure. To combat this epidemic, the AI for Good Lab worked together with Fred Hutch to develop a chatbot app for smoking cessation.
“It was very hard to get Quitbot to understand what people meant when they asked a question, we’ve come a long way and learned a lot about how to use natural language processing to be able to do it.
” – Dr. Jonathan Bricker, Professor, Cancer Prevention Program, Public Health Sciences Division, Fred Hutch Cancer Center Improving cancer diagnosis with computer vision Critical early detection of pancreatic cancer with AI 85% of people with pancreatic cancer are diagnosed too late to receive life-saving treatment. Early diagnosis is crucial, yet in ~ 40% of CT scans, tumors are not detected.
Working together with Fred Hutch we are training AI to identify tumors often missed by the human eye, potentially saving up to 30,000 lives annually. AI can help radiologists better detect breast cancer Breast cancer is the second leading cause of cancer related death in women, early detection is critical for improving treatment outcomes.
Learn how AI is helping professionals quickly learn from thousands of patient images to improve the way we detect, diagnose, and rule out false positives. Revolutionizing precision of prostate cancer diagnosis Prostate cancer, the second most diagnosed cancer in men, claims over 350,000 lives yearly. Automated lesion segmentation in radiological PET CT scans promises personalized treatment and enhanced monitoring.
While AI won’t replace radiologists, it enhances precision and efficiency. “The truth is companies outside of medicine can really have the biggest impact. If medicine wants to move forward, they need to work closely with the best computer scientists because we understand the problem and they know how to find the solutions.
” – Dr. Elliot K. Fishman, Professor of Radiology and Radiological Science The Microsoft AI for Health program: Solving the world’s biggest health issues, one life at a time William B. Weeks, Director of AI for Health in the AI for Good Research Lab, shares insights on the Microsoft AI for Health program.
Surface RTX Spark Dev Box Copilot for organizations Explore Microsoft products Microsoft Teams for Education How to buy for your school Educator training and development Deals for students and parents Support for AI marketplace apps
According to the current listing, eligibility includes: Nonprofit healthcare organizations and researchers. Confirm the full requirements in the official notice before applying.
The current listing shows $25,000–$250,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Microsoft AI for Health is funded by Microsoft. Verify program details on the funder's official page before applying.
This listing is flagged as international in scope. Check the official notice for country-specific restrictions before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.
CalSEED Concept Award is a grant from the California Energy Commission that provides $150,000 in funding to early-stage clean energy innovators in California. The program targets individuals, businesses, and nonprofits developing hardware, software, or integrated solutions at Technology Readiness Levels 2-4. Eligible technology areas rotate each cycle and have included battery recycling and reuse, long-duration energy storage, medium- and heavy-duty vehicle electrification, industrial electrification, and advanced EV charging. Applicants must be located in California, have under $1 million in private funding, and propose innovations that benefit California ratepayers. Concept Award winners also receive professional development resources and access to accelerator programs, and may compete for a subsequent $450,000 Prototype Award.
NIST SBIR Phase I - Advanced Manufacturing and Robotics is sponsored by National Institute of Standards and Technology. NIST SBIR Phase I - Advanced Manufacturing and Robotics is a grant from the National Institute of Standards and Technology (NIST) that funds small businesses with innovative research and technology ideas in advanced manufacturing and robotics.