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  1. Leading Digital Transformation in Health Care

    This six-week online program provides you with the knowledge, tools, and strategies to design and implement technology-enabled change initiatives within your system.

    Dates:

    For: Business leaders who are responsible for leading technology-enabled change initiatives in health care.

  2. Nutrition and Wellness Coaching

    This learning journey integrates two Harvard Medical School executive programs—Health and Wellness: Designing a Sustainable Nutrition Plan and Lifestyle and Wellness Coaching—along with additional modules focused on advanced nutrition planning with behavior change techniques.

    • Online; Self-Paced
    Dates:

    -

    For: Professionals and enthusiasts in the health and wellness sector who seek to elevate their practice with advanced skills

  3. Health Care Economics

    Understand the economic forces driving U.S. health care costs. Learn to evaluate incentives, spending, and policy to make more informed decisions as a leader, provider, or payer.

    • Online; Instructor-Paced
    Dates:

    -

    For: Rising Leaders, Administrators and Policy Makers, and Health Care Providers.

  4. Reducing Racial Disparities in Health Care

    Examine the roots of racial inequities in health care and learn to drive systemic change through data, strategy, and leadership. Create actionable plans to advance equity and improve care outcomes.

    • Online; Instructor-Paced
    Dates:

    -

    For: Health Care Executives, Equity Officers and Administrative Leaders, and Rising Health Care Professionals.

  5. Advances in Immunological Therapeutics – Vol 1 (2023 advances)

    Learn about innovative immunological therapies approved by the FDA from 2021 through 2023 for the treatment of a number of chronic diseases.

    • Online; Self-Paced
    • Start Today
    Dates:

    Available Anytime

    For: Researchers in biomedicine and pharmacology; clinicians and other medical professionals; professionals in managerial roles in health care and the pharmaceutical or a related industry

  6. AI in Medicine: Biomedical Signal Interpretation

    Learn about advances in interpreting biomedical signals and the use of machine learning and deep learning to aid in analysis and diagnosis.

    • Online; Self-Paced
    • Start Today
    Dates:

    Available Anytime

    For: Clinicians and health care professionals; researchers in biomedicine and industry sectors; and professionals in biotechnology or related health care fields

  7. AI in Medicine: Medical Image Interpretation

    Learn about advances in interpretation of medical images using deep learning systems that can aid in clinical screening and diagnosis.

    • Online; Self-Paced
    • Start Today
    Dates:

    Available Anytime

    For: Clinicians and health care professionals; researchers in biomedicine and technology sectors; and professionals in biotechnology or related health care fields

  8. AI in Medicine: Natural Language Processing

    Learn about the advances in artificial intelligence that are transforming the use of natural language processing.

    • Online; Self-Paced
    • Start Today
    Dates:

    Available Anytime

    For: Clinicians and health care professionals; biomedical researchers; and professionals in managerial roles in health care and related fields

  9. Allergy and Asthma: Immunological Principles and Therapeutics

    Learn about the immunological principles of allergic diseases, including asthma, food allergies, and atopic dermatitis, and explore how these conditions can be treated and prevented.

    • Online; Self-Paced
    • Start Today
    Dates:

    Available Anytime

    For: Medical professionals; biomedical researchers; professionals in health care-related fields

  10. Immune Tolerance

    Learn about immune tolerance and how it can be harnessed to treat various conditions.

    • Online; Self-Paced
    • Start Today
    Dates:

    Available Anytime

    For: Medical professionals; biomedical researchers; professionals in health care-related fields