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Stanford Aging and Ethnogeriatrics Research Center (SAGE Center)

Stanford Aging and Ethnogeriatrics Research Center (SAGE Center)

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How we live the second and best part of our life is hugely influenced by our health behaviors and the health care we experience in our youth. We are standing at the doorstep of discovering implementing and evaluating novel and innovative ways of radically changing and improving the aging experience for everyone. The Longevity, Equity, and Aging, Research Network (LEARN) is a research consortium of several organizations collaborating to advance health equity, longevity, and prosperity for diverse Americans. We seek to foster research on diverse populations and increase the involvement of junior scientists from underrepresented groups in longevity and aging research.

The organizational members of the LEARN multi-institutional consortium includes the following organizations:

The Stanford Aging & Ethnogeriatrics Research Center (SAGE) aims to solve many of the current problems in aging research using the latest technological tools including artificial intelligence/machine learning, precision medicine, digital interventions, virtual reality, and others.

The LEARN multi-institutional consortium scientists are currently conducting  studies using innovative research methods to answer key research questions in the longevity, aging and quality of life arena:

  • The LEARN multi-institutional consortium will promote multi-level, transdisciplinary research using an integrative biopsychosocial framework and harnessing emerging technologies to discover new knowledge and solve existing challenges in the longevity, aging, and quality of life arena
  • The LEARN multi-institutional consortium scientists use the latest methodologies like machine learning, artificial intelligence, and other big data techniques, as well as innovative methods like virtual reality, wearables, digital interventions, and precision medicine approaches.
  • Waiting until you become 65 years of age to prevent and cure many chronic illnesses is a recipe for failure. Prevention of many chronic illnesses is best done by adopting key health behaviors in our youth and middle age. This is a primary focus of the LEARN multi-institutional consortium.
  • Technological advances have great potential to shed new light on a broad variety of questions related to aging and we seek to harness this power through the work done at the LEARN multi-institutional consortium.

SAGE center uses research techniques that are digitally driven to solve many of the health research questions in the aging arena

Methodologies used by the LEARN multi-institutional consortium longevity, aging, and quality of life research

Numerous senior and junior investigators affiliated with the LEARN multi-institutional consortium are collaborating to solve many of the health issues that beset Americans.

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    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).