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Empowering Personal Health

Revolutionizing individual health through personal models and perpetual guidance.

IFH aims to integrate lifestyle, community, environment, and social factors in conjunction with clinical knowledge to radically transform health systems away from hospitals and into the hands of each individual.

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Revolutionizing individual health through personal models and perpetual guidance.

Personal Health Navigator
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Global Teams

Forming partnerships with researchers, practitioners, and organizations across the globe to address the diverse geo-social-economic-cultural factors of health research and guidance.

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Living Labs

Understanding real life behavior of individuals and populations by collecting large volumes of data and selecting appropriate sets using right control parameters.

- 20 Mar 2024

openCHA – Stress Estimation and Recommendation Agent

The openCHA framework allows LLMs to connect with external data sources, enabling the collection of information and the creation of customized responses.

- 24 Aug 2023

ZotCare: A Flexible, Personalizable, and Affordable mHealth Service Provider

The team, led by Prof. Amir Rahmani, developed ZotCare, a platform that integrates sensors to monitor vital signs, movement, and sleep, transmitting the collected data to medical providers and researchers.

- 3 Aug 2023

Recognize AI as Augmented Intelligence

AI is a powerful force in technology, offering both optimism and concern. It should be seen as a partner, not a replacement for human intellect, augmenting our capabilities responsibly to maximize benefits and mitigate risks.

Healthcare - 6 Jan 2022

Artificial intelligence predicts who will develop dementia in two years

AI can predict if people develop dementia within two years. The prediction accuracy is 92 percent, obtained in a largescale study conducted on more than 15,400 patients in the U.S.

       
A Distinguished Lecture on:

FKG.in: Food Knowledge Graph in Indian Perspective

Partha Pratim Das

Jun 12, 2024, at 11:00-12:00 PDT

Will be Hybrid:

A Distinguished Lecture on:

Data-Driven Health: AI, Sensors & Your Smartphone

Prof. Ramesh Jain

Apr 16, 2024, at 10:00 am CET

Will be Hybrid:

  • Inria, le Grand Amphi – Inovallée – 655 Avenue de l’Europe, Montbonnot
  • Via Zoom

Ramesh Jain
Director

Ramesh Jain

Donald Bren Professor
Amir M. Rahmani
Associate Director

Amir M. Rahmani

Professor
Elena Agapie

Elena Agapie

Members
Mohammad Abdullah Al Faruque

Mohammad Abdullah Al Faruque

Members
Tom Andriola

Tom Andriola

Members
Iman Azimi

Iman Azimi

Assistant Director
Nakia Best

Nakia Best

Members
Bernadette Boden-Albala

Bernadette Boden-Albala

Members
Charles Boicey

Charles Boicey

Members
Jessica Borelli

Jessica Borelli

Members
Daniela Bota

Daniela Bota

Members
Dawn Therese Bounds

Dawn Therese Bounds

Members
Sara Brown

Sara Brown

Members
Madhu C.Reddy

Madhu C.Reddy

Members
Hung Cao

Hung Cao

Members
Michael J. Carey

Michael J. Carey

Members
Qi Alfred Chen

Qi Alfred Chen

Members
Bernard Choi

Bernard Choi

Members
Nikil Dutt

Nikil Dutt

Members
Daniel Epstein

Daniel Epstein

Members
Charless Fowlkes

Charless Fowlkes

Members
Sergio Gago

Sergio Gago

Members
Lisa Gibbs

Lisa Gibbs

Members
Yuqing Guo

Yuqing Guo

Members
Afshan Hameed

Afshan Hameed

Members
Tabetha Harken

Tabetha Harken

Members
Maya N. Hatch

Maya N. Hatch

Members
Gillian R. Hayes

Gillian R. Hayes

Members
Alison Holman

Alison Holman

Members
Jay J. Han

Jay J. Han

Members
Mahtab Jafari

Mahtab Jafari

Members
Michelle Khine

Michelle Khine

Members
Jung-Ah Lee

Jung-Ah Lee

Members
Lisa Levitt

Lisa Levitt

Members
Marco Levorato

Marco Levorato

Members
Zhou Li

Zhou Li

Members
Karen Lindsay

Karen Lindsay

Members
Sara Mednick

Sara Mednick

Members
Sharad Mehrotra

Sharad Mehrotra

Members
Thomas Milner

Thomas Milner

Members
Bin Nan

Bin Nan

Members
Ariana Nelson

Ariana Nelson

Members
Adey Nyamathi

Adey Nyamathi

Members
Jung-In Park

Jung-In Park

Members
Daniel Parker

Daniel Parker

Members
Melissa Pinto

Melissa Pinto

Members
Tianchen Qian

Tianchen Qian

Members
Annie Qu

Annie Qu

Members
Uma Rao

Uma Rao

Members
Julie Rousseau

Julie Rousseau

Members
Margaret Schneider

Margaret Schneider

Members
Stephen Schueller

Stephen Schueller

Members
Sanghyuk Shin

Sanghyuk Shin

Members
Katharine Simon

Katharine Simon

Members
Nalini Venkatasubramanian

Nalini Venkatasubramanian

Members
Jonathan H Watanabe

Jonathan H Watanabe

Members
Sean Young

Sean Young

Members
Kai Zheng

Kai Zheng

Members
  • All
  • Future Healthcare
  • Lifestyle Recommendation
  • Personal Health Models
  • Population Models
  • Translation and Practice
  • Health State Estimation
  • Large Language Models

Large Language Models in Healthcare

Large Language Models (LLMs) have great potential to transform healthcare, providing a range of services including symptom assessment, health recommendations,…

ZotCare: A Flexible, Personalizable, and Affordable mHealth Service Provider

The proliferation of Internet-connected health devices and the widespread availability of mobile connectivity have resulted in a wealth of reliable…

Loneliness and College Students’ Health

College students have been particularly negatively affected by the COVID-19 pandemic, due to social isolation causing loneliness. Targeted behavioral strategies…

Mental Health Navigator

Traditionally, the regime of mental healthcare has followed an episodic psychotherapy model wherein patients seek care from a provider through…

COVID-19 Long-Haulers

Emerging data suggest that the effects of infection with SARS-CoV-2 are far-reaching, extending beyond those with severe acute disease. Specifically,…

Smart, Connected & Coordinated Maternal Care for Underserved Communities

UNITE (UNderserved communITiEs) presents a community engagement model that is smart, deploying ubiquitous monitoring and lifelogging; connected, bringing together a…

Internet of Cognitive Things for Personalized Healthcare

Quality of Experience (QoE) is a key metric for the successful delivery of end-user services for IoT-enabled applications. Achieving consistent…

Building Personal Chronicle

Personicle is a Mobile App which in its current form collects and processes the location, place, mobile device-specific measures like…

Building Personal model for Health Navigation

Population based healthcare models, while helpful in treating diseases caused by external stimulus, have proven not so effective for chronic…

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