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AI Optimization Subcore Discussion Forum

Join us on Thursday, December 4, 2025, from 2:00–3:00 p.m. CT for an engaging session with Dr. Jie Yang of Harvard Medical School, as he discusses benchmarking large language models on real-world clinical data.

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2025-2026 AIM-AHEAD Training Programs Call for Mentors Now Open!

Four AIM-AHEAD Training Programs are now accepting applications for mentors who are interested in supporting and guiding incoming trainees during the 2025-2026 program term. Previous AIM-AHEAD awardees are encouraged to apply! The deadline to apply has been extended to November 28, 2025. Learn more about each training program below and view the Call for Mentors for mentor application instructions, expectations, and requirements.

AIM-AHEAD Connect Course Spotlight

AI Essentials for Healthcare

  • Course Directors:
    • Toufeeq Syed, PhD.
    • Gordon Gao, PhD.
  • Level: No coding experience required.
  • Format: Modular, asynchronous,
    self-paced
  • Total Modules: 9

Overview: This course helps healthcare professionals understand the role of AI in advancing healthcare outcomes and demystify key concepts such as machine learning, deep learning, computer vision, and natural language processing. It also covers identifying the right AI tools for different challenges and managing AI projects to improve clinical outcomes, organizational performance, and return on investment.

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AIM-AHEAD Events

Webinar Dec 1, 2025

Georgetown AI for Health Care Applications Fall Series - Lecture 4

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Webinar Dec 4, 2025

AIM-AHEAD Communications Hub "Get Connected" Office Hours (December Session #1)

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Webinar Dec 4, 2025

AI Optimization Subcore Discussion Forum: Benchmarking LLMs on Real-World Clinical Data

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AIM-AHEAD News

Nov 26, 2025

Celebrating Achievements Across AIM-AHEAD’s Collaborative Training Programs

..  Continue reading

Nov 26, 2025

Advancing Together: Reflections on a Year of Progress and Impact in AIM-AHEAD

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What isAIM-AHEAD?

The National Institutes of Health’s AIM-AHEAD program was established to create mutually beneficial and coordinated partnerships to empower researchers and communities across the United States in the development of AI/ML models and enhance the capabilities of this emerging technology, beginning with electronic health record (EHR) data. Read More

**Please note that, consistent with NIH practice and applicable law, funded programs may not use the race, ethnicity, or sex of prospective program participants or faculty as an eligibility or selection criteria. The race, ethnicity, or sex of candidates will not be considered by AIM-AHEAD in the application review process or when making funding decisions.**

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