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  1. Global Clinical Scholars Research Training

    Develop advanced clinical research skills through this rigorous, blended-learning experience that prepares clinicians and clinician-scientists worldwide to design, conduct, and communicate impactful health care research.

    Dates: -

    For: Designed for faculty-level clinicians or clinician-scientists with advanced degrees such as an MD, PhD, MBBS, DMD, DDS, PharmD, or DNP. Successful candidates typically have at least one abstract, publication, or peer-reviewed article.

  2. Leadership in Medicine: Asia Pacific at Sunway University

    Advance your leadership and academic medicine skills through this comprehensive program designed to equip health care professionals—from faculty to executives—with the tools to lead institutions, develop curricula, and drive excellence in education and administration.

    Dates: -

    For: Senior and mid-level faculty, executive-level hospital, primary care, community, and other health care facility administrators, and health care professionals with supervisory, management, or executive responsibilities.

  3. Leading AI Innovation in Health Care

    Lead the transformation of health care by developing the strategic insight and practical tools required to implement artificial intelligence effectively and responsibly in a rapidly evolving landscape.

    Dates: Upcoming dates to be announced soon.

    For: Designed for health care leaders and innovators seeking to shape the future of digital health. Ideal for clinical and academic leaders, industry professionals, and those driving technology adoption and innovation within their organizations.

  4. Training to Teach in Medicine

    Gain the skills to teach and inspire future health care professionals using innovative, evidence-based strategies in diverse learning settings.

    Dates: -

    For: Clinicians, pharmacists, nurses and nurse practitioners, physician assistants, dentists, or other health care professionals teaching medical education

  5. 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
    • Group Enrollment Option

    Dates: Weekly enrollments

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

  6. 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
    • Group Enrollment Option

    Dates: Weekly enrollments

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

  7. 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
    • Group Enrollment Option

    Dates: Weekly enrollments

    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

  8. 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
    • Group Enrollment Option

    Dates: Weekly enrollments

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

  9. Immune Tolerance

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

    • Online; Self-Paced
    • Group Enrollment Option

    Dates: Weekly enrollments

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

  10. 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
    • Start Today

    Dates: Available between March 8, 2023-March 7, 2026

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

  11. Art Museum-based Health Professions Education Fellowship

    Advance your professional growth by exploring art and museum-based teaching practices that foster critical reflection, deepen humanistic skills, and support innovative curriculum design within health professions education.

    Dates: Upcoming dates to be announced soon.

    For: Educators, Health Care Professionals, Museum Professionals

  12. Surgical Leadership

    Develop essential executive and leadership skills to lead surgical teams, departments, and institutions in this comprehensive certificate program.

    Dates: -

    For: Surgeons who currently hold or seek to attain a leadership position, including leadership of departments, divisions, large organizations, programs, and new initiatives

  13. Leading Innovations in Health Care & Education

    Strengthen leadership and strategic decision-making skills by applying design thinking and change theories like disruptive innovation in this immersive, in-person program for educational leaders in health care.

    Dates: Upcoming dates to be announced soon.

    For: Clinicians, Health Care Professionals, Educators

  14. 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
    • Start Today

    Dates: Available between May 12, 2024-May 11, 2027

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

  15. 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
    • Group Enrollment Option

    Dates: Weekly enrollments

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