Mayo Clinic

Rochester, Minnesota, U.S. All United States companies → — Founded 1864

AI Research Lab Healthcare Conglomerate Specialty-Focused AI

Clinical Decision Support & Reference Neurology AI Radiology & Imaging AI

Mayo Clinic is a nonprofit organization. It has raised funding over 762 rounds, with its latest being a Grant (prize money) round on June 9, 2025. — Mayo Clinic manages approximately $15 billion in endowment and investment assets. Total operating revenue was $21.5 billion in 2025. Research funding exceeded $1 billion in 2022 and $1.3 billion in 2025.

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StateViewer

Mayo Clinic

Clinical Decision Support & Reference

Mayo Clinic's StateViewer is an AI platform under research that analyzes PET scans to identify brain activity patterns linked to nine types of dementia, including Alzheimer's disease, aiding in early and precise diagnosis. It has shown to improve diagnostic accuracy and speed of interpretation for clinicians.

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About Mayo Clinic

Mayo Clinic is a private American academic medical center focused on integrated healthcare, education, and research. It is a nonprofit organization committed to clinical practice, education, and research, providing whole-person care. Mayo Clinic is recognized for its high-quality patient care and its integrated, team-based approach to medicine, which dates back to its founders, brothers Will and Charlie Mayo. The institution aims to inspire hope and contribute to health and well-being by providing the best care to every patient through integrated clinical practice, education, and research.

Mayo Clinic is actively transforming healthcare through its “Bold. Forward.” strategy, which includes accelerating discovery, connecting people with data for scalable solutions, and creating a new future for healthcare with an AI-enabled care transformation platform. They are harnessing the power of AI to bring innovative solutions to patients, from earlier disease detection and improved test accuracy to new care models. Mayo Clinic’s unique approach combines the expertise of data scientists and clinician-researchers to apply sophisticated AI and machine learning algorithms to expansive sets of patient data, aiming to achieve medical insights that humans alone could not. This includes developing and deploying remote health monitoring devices and leveraging imaging technology to detect conditions and anticipate disease risk years in advance. They are also collaborating with organizations like Microsoft to develop frontier AI models specifically for healthcare, aiming to expand access to Mayo Clinic’s expertise and improve patient and clinician experiences.

Focus Areas

Biomedical knowledge discovery Biomedical terminologies and data standards Cancer informatics Clinical decision support Clinical research informatics Clinical text mining and natural language processing Computer vision Data science and AI in healthcare Electronic health record-driven clinical phenotyping Informatics research on healthcare delivery Knowledge induction and dissemination for clinical practice Machine learning and deep learning Medical imaging informatics Precision medicine informatics Precision population health Quantitative medicine Understanding and incorporating patients' perspectives into practice Drug discovery Digital pathology Radiotherapy optimization Arrhythmia detection Liver disease detection Pancreatic cancer detection

Business Intelligence

Key Investors	As a nonprofit, Mayo Clinic does not have traditional investors. Funding comes from patient services, research grants (federal, state, industry), and philanthropy.
Partnerships	Microsoft, Nvidia, Aignostics, Merck, Google
Technology	Mayo Clinic Platform (an ecosystem for data, digital solutions, and expertise), federated privacy-preserving data network, AI-enabled solutions development and deployment, clinical integration of digital health tools, AI factory hosted on Google Cloud's Vertex AI, Nvidia DGX SuperPOD for AI computing.

What Physicians Need to Know

Biomedical Knowledge Discovery

Mayo Clinic is actively engaged in biomedical knowledge discovery, leveraging platforms like the Clinical Data Analytics Platform, a collaboration with nference. This platform deidentifies and synthesizes vast amounts of biomedical knowledge, including clinical data, laboratory reports, ECGs, and physician notes, to accelerate scientific and clinical research. They are focused on understanding the causes of diseases and translating laboratory discoveries into clinical care.

Biomedical Terminologies and Data Standards

Mayo Clinic's Department of Artificial Intelligence and Informatics researches biomedical terminologies, ontologies, and data standards. This focus ensures interoperability and consistent understanding of medical data, which is crucial for advanced analytics and AI applications.

Cancer Informatics

Mayo Clinic is a leader in cancer informatics, with significant advancements in early detection. Their AI model can detect pancreatic cancer on routine abdominal CT scans up to three years before clinical diagnosis, identifying subtle signs before tumors are visible. They are also developing blood, cyst fluid, and pancreatic juice biomarkers for early detection of pancreatic cancer and precursor lesions. Their Radiology Informatics Lab initially focused on brain cancer and now creates image-derived biomarkers for various diseases.

Clinical Decision Support

Mayo Clinic develops and implements AI and machine learning models for clinical applications, including clinical decision support (CDS) tools. They have partnered with Verily to build advanced, evidence-based CDS solutions providing contextualized knowledge on disease management, care guidelines, and treatment. An example is AskMayoExpert, a point-of-care tool offering clinical information and treatment recommendations. They also have projects focused on predicting drug overdosing/underdosing and identifying patients with complex diseases who may need specialized care.

Clinical Research Informatics

Mayo Clinic's Department of Artificial Intelligence and Informatics focuses on clinical research informatics. The Mayo Clinic Platform (MCP) is designed to revolutionize clinical research by advancing multimodal AI, real-world evidence generation, and global data collaboration, integrating structured EHR data, clinical notes, imaging, and genomics.

Clinical Text Mining and Natural Language Processing (NLP)

Mayo Clinic utilizes clinical text mining and natural language processing. Their NLP team develops machine learning-based algorithms to identify high-risk pancreatic cancer patients by leveraging institutional expertise and text analytical methods. NLP is also a key component of the Mayo Clinic Platform's strategic initiative.

Computer Vision

Computer vision is a research focus within Mayo Clinic's Department of Artificial Intelligence and Informatics. This technology is integral to their work in medical imaging and digital pathology, enabling the analysis of visual data for diagnostic purposes.

Data Science and AI in Healthcare

Mayo Clinic is a leader in data science and AI in healthcare, with over 200 AI projects in various stages of maturity. They have an 'AI factory' hosted on Google Cloud's Vertex AI, supporting over 250 AI research and deployment projects. Their approach combines data scientists and clinician-researchers to apply sophisticated AI and machine learning algorithms to extensive patient data, generating medical insights. They are focused on developing, implementing, and evaluating AI and machine learning models for clinical applications and integrating them into practice workflows.

Electronic Health Record-Driven Clinical Phenotyping

Mayo Clinic conducts research on electronic health record-driven clinical phenotyping. They have unified their electronic health records into a single system, creating a comprehensive, structured patient database, which is crucial for AI development and clinical phenotyping.

Informatics Research on Healthcare Delivery

Mayo Clinic's Department of Artificial Intelligence and Informatics conducts research on variations in healthcare delivery. The Clinical Data Science Program within the Kern Center for the Science of Health Care Delivery focuses on developing and integrating AI and machine learning solutions to optimize hospital and clinical service capacity and improve care for complex conditions.

Knowledge Induction and Dissemination for Clinical Practice

Mayo Clinic is dedicated to knowledge induction and dissemination for clinical practice. Their clinical decision support tools, like AskMayoExpert, are designed to provide just-in-time, relevant knowledge to clinicians.

Machine Learning and Deep Learning

Mayo Clinic extensively utilizes machine learning and deep learning. They apply these techniques to patient data to solve complex medical problems, leading to new healthcare tools and treatments. Their Applied Machine Intelligence Program develops innovative solutions using advanced computational and machine learning methods, including classical machine learning, deep graph learning, deep learning, immersive intelligence, large language models, natural language learning, and probabilistic inference. The Biomedical Imaging Resource Core assists investigators with deep and machine learning on large image datasets.

Medical Imaging Informatics

Mayo Clinic has a strong focus on medical imaging informatics. Their Radiology Informatics Lab designs tools to extract quantitative and diagnostic information from medical images, optimize image creation and quality, and improve workflow. They are developing new deep-learning models for state-of-the-art image acquisition and noise reduction in molecular breast imaging. They also have a Medical Imaging Informatics Innovation Center (MI3C) dedicated to advancing medical imaging technologies.

Precision Medicine Informatics

Precision medicine informatics is a key area of specialization for Mayo Clinic. They have partnered with Nvidia to launch an AI computing platform to support the development of foundation models for precision medicine. Their collaboration with Merck also aims to integrate AI-enabled insights and clinical/genomic datasets to enhance disease understanding and improve target identification for precision medicine.

Precision Population Health

Mayo Clinic's Department of Artificial Intelligence and Informatics includes precision population health as a focus area. This involves leveraging data and AI to understand and improve health outcomes across populations.

Quantitative Medicine

Quantitative medicine is a specialization at Mayo Clinic. This involves applying quantitative methods and models to medical data for deeper insights and more precise interventions.

Understanding and Incorporating Patients' Perspectives into Practice

Mayo Clinic emphasizes understanding and incorporating patients' perspectives into practice. Their core value is that 'the needs of the patient come first,' and they encourage patients to be active participants in their healthcare team. AI tools are also being deployed to improve patient interactions, such as summarizing doctor visits.

Drug Discovery

Mayo Clinic has a robust drug discovery pipeline, incorporating high-throughput screening and precision medicine concepts. They have collaborations with companies like nference and Merck to accelerate drug discovery and development through AI, advanced analytics, and multimodal clinical data. They are also developing 'virtual clinical trials' to predict the success of heart failure drugs, reducing time and cost.

Digital Pathology

Mayo Clinic is transforming pathology through digital pathology, leveraging an extensive archive of digital slides. They have developed a leading foundation model built on 1.2 million deidentified slides and are working to integrate AI into diagnostic workflows. They aim to make diagnoses faster, more accurate, and more efficient, enhancing precision medicine.

Radiotherapy Optimization

Mayo Clinic is involved in radiotherapy optimization, including developing therapeutic interventions to mitigate osteoporosis induced by radiotherapy.

Arrhythmia Detection

Mayo Clinic has made significant strides in arrhythmia detection using AI. They can detect arrhythmias on a single-lead ECG, enabling diagnosis and treatment interventions.

Liver Disease Detection

Mayo Clinic researchers have developed an AI model to diagnose advanced chronic liver disease earlier by analyzing routine ECG data, identifying twice the number of patients diagnosed by standard methods. They offer a comprehensive menu of biomarker testing for various liver diseases.

Pancreatic Cancer Detection

Mayo Clinic has developed an AI model (REDMOD) that can detect pancreatic cancer on routine abdominal CT scans up to three years before clinical diagnosis, by measuring subtle quantitative imaging features. They are also developing blood, cyst fluid, and pancreatic juice biomarkers for early detection.

Physician Tip

Mayo Clinic stands out for physicians due to its patient-first philosophy, multidisciplinary team approach, and integrated academic institution model. Physicians have access to a vast network of specialists and scientists, fostering collaboration and ensuring comprehensive evaluations. The emphasis on research and innovation, particularly in AI and data science, provides access to cutting-edge diagnostic and therapeutic technologies. The development of clinical decision support tools like AskMayoExpert offers just-in-time, evidence-based guidance at the point of care. Furthermore, Mayo Clinic's focus on integrating AI into workflows aims to reduce inefficiencies and augment human knowledge, allowing clinicians to focus more on patient care.

Mayo Clinic actively partners with technology companies and other institutions to advance its digital health initiatives. Key integrations include: n* **Google Cloud's Vertex AI:** Hosts Mayo Clinic's 'AI factory' for over 250 AI research and deployment projects. n* **nference:** Collaboration on the Clinical Data Analytics Platform for biomedical knowledge discovery and accelerating research. n* **Verily:** Partnership to build advanced clinical decision support solutions. n* **Nvidia:** Collaboration on an AI computing platform for digital pathology, drug discovery, and precision medicine, utilizing Nvidia's DGX SuperPOD. n* **Aignostics:** Developed a pathology foundation model (Atlas) trained on digital slides. n* **Sectra:** Utilized for digital slide review and image storage/management in digital pathology. n* **Merck:** Research and development agreement to apply AI, advanced analytics, and multimodal clinical data for drug discovery and precision medicine. n* **Conflux and ViewsML:** Collaborations to scale technologies that improve diagnostic accuracy and efficiency in digital pathology. nThese partnerships highlight Mayo Clinic's commitment to an ecosystem approach for digital innovation, leveraging external expertise and technology to enhance its capabilities.

At a glance

Founded 1864

HQ Rochester, Minnesota, U.S. · United States

Team size Approximately 85,000 (global workforce as of current information), with more specific breakdowns including over 7,300 physicians and clinical residents and over 66,000 allied health staff as of 2022. Other sources indicate around 76,000 staff members as of 2022. Recent data from March 31, 2026, suggests 48,284 employees.

CEO Gianrico Farrugia, M.D.

Funding Mayo Clinic is a nonprofit organization. It has raised funding over 762 rounds, with its latest being a Grant (prize money) round on June 9, 2025. — Mayo Clinic manages approximately $15 billion in endowment and investment assets. Total operating revenue was $21.5 billion in 2025. Research funding exceeded $1 billion in 2022 and $1.3 billion in 2025.

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StateViewer

Mayo Clinic

Clinical Decision Support & Reference

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What the Web Says

Mayo Clinic is widely regarded as a top-tier medical institution, often praised for its exceptional patient care, expertise of its medical staff, and advanced technology. However, experiences can be mixed, particularly concerning administrative aspects, wait times, and communication. Employee reviews indicate a generally positive work environment with good benefits, but some express concerns about compensation, work-life balance, and management in certain departments.

Overall: Mixed

Strengths

Exceptional patient care and expertise of medical staff.
State-of-the-art technology and facilities.
Comprehensive and coordinated care, especially for complex conditions.
Good benefits, including health insurance and pension (for long-term employees).
Opportunities for internal movement and career growth.
Positive work culture and teamwork in many departments.

Limitations

Long wait times for appointments and procedures.
Communication issues and disconnects between departments.
Some employees report being underpaid compared to their experience/degrees.
Work-life balance can be challenging, with heavy workloads and short staffing in some areas.
Concerns about leadership and management in certain departments, with some describing it as political or toxic.
The Mayo Clinic app is often criticized for being unfriendly and confusing.

Based on reviews from: Reddit, Comparably, Indeed, App Store, Becker's Hospital Review, Trustpilot, Eau Claire Community Collaborator

Last updated: 2026-07-01

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Press & Coverage

Microsoft News

Mayo Clinic and Microsoft collaborate to develop a frontier AI model for healthcare

Mayo Clinic and Microsoft announced a strategic collaboration to develop and deploy a frontier AI model specifically for healthcare, aiming to make Mayo Clinic's expertise available to more people. This collaboration combines Mayo Clinic's healthcare expertise and de-identified clinical data with Microsoft's advanced AI and cloud capabilities.

2026-06

Mayo Clinic News Network

Mayo Clinic summit explores the next phase of healthcare AI (VIDEO)

Mayo Clinic's AI Research Summit highlighted the evolution of healthcare AI beyond predictive models to integrated decision-intelligence systems. Over 750 researchers, clinicians, and AI scientists gathered to discuss emerging approaches like multi-agentic AI and virtual trials.

2026-06

Healthcare Dive

Mayo's latest AI bet: A frontier model with Microsoft | Healthcare Dive

Mayo Clinic is partnering with Microsoft to develop an advanced AI model for healthcare, combining Mayo's de-identified clinical data with Microsoft's AI and cloud capabilities. The health system will own the model, which Microsoft plans to make available through its Azure Foundry AI platform.

2026-06

Mayo Clinic News Network

Mayo Clinic Platform_Accelerate selects new cohort of healthcare technology startups

Mayo Clinic Platform_Accelerate has selected 20 healthcare technology startups for its accelerator program, providing them with mentorship and access to Mayo Clinic Platform's de-identified clinical data. This cohort reflects a shift towards deploying AI at scale in healthcare.

2026-06

Merck

Merck and Mayo Clinic Announce New Research and Development Collaboration to Support AI-Enabled Drug Discovery and Precision Medicine

Merck and Mayo Clinic have announced a research and development agreement to apply AI, advanced analytics, and multimodal clinical data to support drug discovery and development. This collaboration leverages Mayo Clinic's Platform architecture and clinical and genomic datasets.

2026-02

Mayo Clinic News Network

Mayo Clinic invests more than $1.2 Million in community grants in the first quarter of 2025

Mayo Clinic's Community Contributions Program granted over $1.2 million in the first quarter of 2025 to strengthen community vibrancy, supporting programs for housing, food access, education, and healthcare.

2026-03

PR Newswire

Mayo Clinic receives $75 million gift from Grainger family to transform healthcare logistics

Mayo Clinic announced a $75 million gift from the Thomas and Elizabeth Grainger family to support its 'Bold. Forward. Unbound.' initiative in Rochester, aimed at transforming healthcare logistics.

2026-03

Wikipedia

Mayo Clinic Proceedings

Mayo Clinic Proceedings is a monthly peer-reviewed medical journal published by Elsevier and sponsored by the Mayo Clinic, covering general internal medicine. Established in 1926, it is among the most widely read and highly cited scientific publications for physicians.

2022

Frequently Asked Questions

How does Mayo Clinic leverage AI and data science for biomedical knowledge discovery and drug discovery?

Mayo Clinic utilizes AI and data science extensively for biomedical knowledge discovery by analyzing vast datasets from electronic health records, genomic information, and research studies. This approach aids in identifying novel disease mechanisms, drug targets, and predictive biomarkers, accelerating the development of new therapies and personalized medicine approaches.

What are Mayo Clinic's initiatives and contributions to establishing and utilizing biomedical terminologies and data standards?

Mayo Clinic is actively involved in developing and implementing standardized biomedical terminologies and data standards to ensure interoperability and data quality across research and clinical domains. Their efforts focus on creating robust frameworks that facilitate data exchange, aggregation, and analysis, which are crucial for large-scale informatics projects and collaborative research.

Can you elaborate on Mayo Clinic's capabilities and research in clinical decision support and its impact on physician workflows?

Mayo Clinic develops and integrates advanced clinical decision support systems that provide physicians with evidence-based recommendations and insights at the point of care. These systems leverage AI and machine learning to analyze patient data, flag potential risks, and suggest optimal treatment pathways, ultimately enhancing diagnostic accuracy and treatment efficacy while streamlining physician workflows.

What is Mayo Clinic's approach to precision medicine informatics and its application in areas like cancer and rare diseases?

Mayo Clinic's precision medicine informatics initiatives focus on integrating genomic, proteomic, and clinical data to tailor treatments to individual patients, particularly in complex areas like cancer and rare diseases. By leveraging advanced analytics and AI, they aim to identify personalized therapeutic strategies, predict treatment responses, and improve patient outcomes.

How does Mayo Clinic utilize machine learning and deep learning in medical imaging informatics for disease detection, such as arrhythmia, liver disease, and pancreatic cancer?

Mayo Clinic employs machine learning and deep learning algorithms in medical imaging informatics to enhance the detection and diagnosis of various conditions, including arrhythmia, liver disease, and pancreatic cancer. These AI models analyze complex imaging data to identify subtle patterns and anomalies that may be missed by the human eye, leading to earlier and more accurate diagnoses.

What is Mayo Clinic's strategy for incorporating patients' perspectives into practice and research, and how does informatics support this?

Mayo Clinic is committed to understanding and incorporating patients' perspectives into both clinical practice and research. Informatics plays a crucial role by enabling the collection and analysis of patient-reported outcomes, feedback, and preferences, which helps in designing patient-centered care plans and research studies that truly address patient needs and values.

What are Mayo Clinic's key partnerships and collaborations in the healthcare AI and informatics space, and how do they ensure company stability and growth?

Mayo Clinic actively fosters strategic partnerships with technology companies, academic institutions, and other healthcare organizations to advance its AI and informatics capabilities. These collaborations facilitate knowledge exchange, resource sharing, and the development of innovative solutions, contributing to Mayo Clinic's stability, growth, and leadership in the evolving healthcare landscape.

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