• Skip to primary navigation
  • Skip to main content
  • Skip to footer
Longevity & Healthy Aging Research Consortium

Longevity & Healthy Aging Research Consortium

Longevity & Healthy Aging Research Center

Logevity and Healthy Aging
  • Home
  • About Us
    • Contact Us
  • Leadership
  • Education
    • Research Methodology Podcasts
    • Webinar: Receiver Operating Characteristic Curve (ROC) Analysis for Prediction Studies
    • Webinar: Moderator, Mediators et al: Toward Understanding Heterogeneity
  • Publications
  • News and Accomplishments
  • How to Help

Apply now: Longevity and Healthy Aging Pilot Award Grants 2024

APPLY NOW TO THE LEARN CONSORTIUM’S PILOT AWARD PROGRAM!

Applications are being accepted for one-year pilot project awards of up to $50,000 for the project period 7/1/2024–6/30/2025. All pilot applications must include a focus on socio-cultural or bio-behavioral research.

The application link is: https://tinyurl.com/Stanfordhealthyaging

Who should apply to the L.E.A.R.N. consortium’s pilot award grant?

Ideal applicants are a diverse cohort of early career faculty members with appointments at any of the seven schools on the Stanford campus, VA Palo Alto Health Care System, Palo Alto University, and any academic or research non-profit institution in the United States and its outlying territories.

Applicants must have a terminal degree (e.g., MD, PhD, MD/PhD) and wish to incorporate some aspect of behavioral and social science into their proposed project on longevity and healthy aging 

Why should I apply? How does this pilot award help me?
  1. To apply, you need to submit a one-page NIH-style Specific Aims via the link above. If invited to submit, the final proposal Research Strategy is only 3 pages.
  2. The proposals of the three selected finalists will be sent to NIA for approval. Once approved, the NIH will issue the pilot award in your name as the PI.
  3. You have an opportunity to join the brilliant group of past awardees (https://aging.stanford.edu/sage-scientists/). Most of our past awardees have secured other prestigious intramural and extramural grant support.
  4. Awardees will be invited by the National Institute on Aging to exclusive conferences and training opportunities.
  5. Awardees receive research and career mentoring during the funding period. 
  6. The L.E.A.R.N. Program Director will work with the awardees to identify mentors who can help with the implementation of the pilot project and in career advancement. 
  7. Awardees will have the opportunity to interact with faculty across the L.E.A.R.N. Consortium to enhance their skills and knowledge related to aging and disparities research using emerging methodologies.
  8. Awardees will receive mentoring and be able to participate in research training on issues about minorities and disparities research, aging research, grant writing, and participate in monthly world-in-progress sessions and opportunities provided by the Stanford University School of Medicine.
Funding Details

Each award is up to $40,000 total cost. The funding period is for 1 year (7/1/2024–6/30/2025). We encourage applicants to budget funds for travel to the annual Gerontological Society of America annual meeting.

Focus of Pilot Projects

All projects must:

  1. Include a focus on longevity and healthy aging research.
  2. Use innovative methodologies, such as machine learning approaches, precision medicine, virtual reality, digital interventions, and wearables in the field of longevity and healthy aging research.
  3. Include at least one Specific Aim that focuses on socio-cultural and bio-behavioral research. The L.E.A.R.N. leadership will help you with constructing this component (please contact us to discuss before submitting a Phase 1 application).

NOTE: Animal studies or aging biology studies are outside the scope of this pilot award program

Timeline and Key Deadlines
Phase 1January 12, 2024 (5 pm PT)

January 19, 2024
Applications must be submitted using our online form in Qualtrics: https://tinyurl.com/Stanfordhealthyaging
– Curriculum vitae
– 1-page NIH style Specific Aims page
Candidates will be notified if they have been selected to prepare and submit a full (3-page) proposal. 
– Revised 1-page NIH-style Specific Aims page
– 3-page Research Strategy (Significance, Methods, Alternative Strategies, Future Directions)
– References (no page limit)
– Budget and justification
Phase 2February 2, 2024

March 1, 2024
Full proposals must be emailed to Dr. Jessica Moon, LEARN Executive Director (jessmoon@stanford.edu) by 5 pm PT. 

Candidates will be notified if they have been selected as finalists. 
Phase 3March/April 2024


July 1, 2024
Finalists will be mentored to prepare a proposal package for submission to NIH for approval.
– Human subjects research attachments
– Any revisions to previously submitted documents
Upon approval by NIA, funds are released to pilot awardees. Awardees MUST have project approval by their institutional IRB before funds can be released. Awardees at institutions other than Stanford University MUST have all subcontract documentation completed before funds can be released.  

Share this:

  • Click to share on Facebook (Opens in new window) Facebook
  • Click to share on X (Opens in new window) X

Longevity Medicine and Healthy Aging

Connect with us

  • Facebook
  • LinkedIn
  • Twitter

Footer

Stanford Medicine

  • About
  • Contact
  • Maps & Directions
  • Careers

 

  • Basic Science Departments
  • Clinical Science Departments
  • Academic Programs

Healthcare

  • Stanford Health Care
  • Stanford Children’s Health
  • Clinical Trials
  •   Find People
  •   Visit Stanford
  •   Search Clinical Trials
  •   Give a Gift

Copyright © 2025 Stanford Medicine
Privacy Policy | Terms of Use

Next-Generation Artificial Intelligence for Diagnosis: From Predicting Diagnostic Labels to "Wayfinding"

Julia Adler-Milstein, PhD1; Jonathan H. Chen, MD, PhD; Gurpreet Dhaliwal, MD

Improving the diagnostic process is a quality and safety priority.With the digitization of health records and rapid expansion of health data, the cognitive demand on the diagnostician has increased. The use of artificial intelligence (AI) to assist human cognition has the potential to reduce this demand and associated diagnostic errors. However, current AI tools have not realized this potential, due in part to the long-standing focus of these tools on predicting final diagnostic labels instead of helping clinicians navigate the dynamic refinement process of diagnosis. This Viewpoint highlights the importance of shifting the role of diagnostic AI from predicting labels to “wayfinding” (interpreting context and providing cues that guide the diagnostician).