• Skip to primary navigation
  • Skip to main content
  • Skip to footer
Stanford Aging and Ethnogeriatrics Research Center (SAGE Center)

Stanford Aging and Ethnogeriatrics Research Center (SAGE Center)

Ace Aging

  • LinkedIn
  • Twitter
  • Home
  • About Us
  • Awardees
  • Faculty
  • Research Methodology Podcasts
  • Research
  • Contact Us

Welcome to the Stanford Aging and Ethnogeriatrics
(SAGE) Research Center

SAGE Center Highlights

Awardees

SAGE projects and grant awardees

Research

Discover the latest innovations and current projects in aging

Methodology Podcasts

Clarifying key research methodology issues

Diversity and Inclusion

Stanford AGE Research Center Annual Meeting, February 2021

Keynote address:
Lloyd Minor, MD, Dean of the Stanford University School of Medicine
Remarks:
Robert Harrington, MD, Chair, Department of Medicine
SAGE Junior Investigator Accomplishments:
Research projects solving pressing problems in aging

SAGE Center News

Congratulations to Dr. Jon Chen! 

Jon’s lab recently published  “Targeting repetitive laboratory testing with electronic health records: a pre-implementation study” in Clinical Biochemistry with funding from the SAGE Pilot Award Program.

Congratulations to Dr. Ngan Huang! 

Ngan was recently awarded the 2022 CVI Recognition Award, which recognizes faculty members for their efforts to increase and celebrate diversity, contribute to fair and just practices for CVI members, and/or promote an environment of mutual respect, belonging, and inclusion. 

Congratulations to Dr. Suzanne Tamang!

Suzanne secured a faculty position and will build on her pilot research work thru the SAGE center.

Congratulations to Dr. Juan Banda!

Juan’s lab was recently awarded the 2022 Google Research Award for Inclusion Research for the project “Towards more equitable representation of Latin American Spanish natural language processing resources for social media mining of health-related applications”.

Congratulations to Dr. Xin Zhou!

Xin’s recent work, “Exploratory studies of oral and fecal microbiome in healthy human aging”, was published in Frontiers in Aging.  https://pubmed.ncbi.nlm.nih.gov/36338834/

Stanford Researchers Named to Clinical Research Forum Top Ten List

Dr. James Zou, Lead of the SAGE Center Methods Core, receives the Clinical Research Forum 2022 Top Ten Clinical Research Achievement Award in recognition of his study, “Evaluating eligibility criteria of oncology trials using real-world data and AI,” the results of which were published in Nature last year. Dr. Zou will present the research at the 2022 Translational Science Conference in Chicago, IL in April, and be honored at an awards gala during the conference.

Read More…

Click here to Learn More

Featured SAGE Center Projects

SAGE Center Awardees

Click on the profiles to read their biography.

Ivan Mejia-Guevara, PhD
Fatima Rodriguez, MD, Mph
Carolyn Rodriguez, MD, PhD
Alesha Heath, PhD
Kevin Alexander, MD
Suzanne Tamang, PhD
Kacie Deters, PhD

Róbert Pálovics, PhD

Travis Shivley-Scott, PhD

Juan Banda, PhD
Jonathan H. Chen, MD, PhD
Monroe D. Kennedy III, PhD
Morteza Noshad, PhD
Nazish Sayed, MD, PhD
Jiajun Wu, PhD
Xin Zhou, PhD
Shoa Clarke, MD, PhD
Ngan Huang, PhD
Gen Shinozaki, MD
Monique Cano, PhD

Ace Aging

Footer

Stanford Medicine

  • About
  • School Administration
  • Contact
  • Maps & Directions
  • Jobs

 

  • Basic Science Departments
  • Clinical Science Departments
  • Academic Programs
  • Diversity Programs

Healthcare

  • Find a physician
  • Clinical Trials
  • Patient Information
  • Contact

Related

  • Ethnogeriatrics
  • Salud (Spanish Health Site)
  • Project Respect
  •   Find People
  •   Visit Stanford
  •   Search Clinical Trials
  •   Give a Gift

Copyright © 2023 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).