AI HEALTH NAVIGATOR

HealthUnity Research & Development

The next generation of digital health information: AI models trained on domain knowledge and health data for medical information that is accessible, credible, and easy to understand for all

Democratize Healthcare Knowledge

Imagine being able to go to one source for personalized,
trustworthy information on all health and well-being needs.

Medical queries translated into a simple, easy-to-understand language
through machines trained on domain expertise and data.

Preventative Care

Symptom-based Navigation

Dealing with a Chronic Disease

Rehabilitation

Think of the AI Health Navigator as a next-gen WebMD or a Wikipedia for Healthcare that is more interactive, more understandable, and more personalized – transforming the way we understand our own health.

Domain expert medical information delivered in a clear and simple language that demystifies individual health conditions and supports well-being.

Ask any question about any symptoms or health conditions and engage in an interactive conversation with the AI Health Navigator

Sync personal data from wearables, health tech devices, apps, and health history records for a more thorough look at how behaviors may impact an individual’s current health state

Trustworthy recommendations and in-depth clinical information from credible domain expert resources

All in an easy-to-understand language that is accessible and inclusive

Addressing Current Health Information Issues:

Siloed data in healthcare
Generative AI lacking domain knowledge
Credible web domain knowledge is available, though difficult to understand
No current holistic view of the patient

Bridging Data Silos in Healthcare

Developing a more advanced knowledge generator
Large scale connected data enabled through renowned interdisciplinary team expertise in collaboration with leading research institutes
A 360° holistic and longitudinal view of each person’s individual health

Combining Knowledge and Tools:

Designed with a user-friendly interface providing an easy, interactive experience with individualized support

Generative AI

Multimodal and Longitudinal Heterogeneous Datasets

Domain Knowledge

Personal Information

HealthUnity Apps: Personicle, iHealth App, other apps coming

AI Assisted Navigation

Harnessing the Power of AI

Large Language Models Based on Domain-Specific Knowledge and Multimodal Heterogeneous Health Datasets

Today’s online resources for medical information offer credible healthcare expertise though the terminology is highly clinical and can often be difficult to understand.

Enter Generative AI – Powerful tools with enormous potential, though there are current limitations in its infancy:

Advancements in AI generated content from large language models can often be generic
Learned knowledge is understandable but missing domain knowledge or credibility and can be misleading

The Expansive Data Universe

Generative transformer language models trained on near-limitless digitally published domain content including in-depth medical and biomedical information from medical books, journals, publications, research papers, and medical websites

We are unlocking the potential of large-scale AI-driven data in healthcare via open knowledge and an open community.

Enabling inclusive, credible, and easy-to-understand medical information and resources for personal and societal health management.

We plan to extend beyond patients and practitioners, becoming the go-to platform for scientists, researchers, and industry as a large-scale data source of information for clinical trials and drug development.

AI Health Navigator Mission

Make healthcare knowledge accessible and understandable for everyone.

Empower every patient to better understand and navigate their own health.

Bridge key stakeholders in a patient’s health journey – from clinical experts, patient advocates, and caregivers to the individual patient themselves having a better understanding about their personal health.

Drive Health Equity with foundation models trained on inclusive world data from diverse groups for more trustworthy and equitable information.

Our Vision

Leveraging AI, data, and domain-specific knowledge in healthcare to provide continuous care throughout a patient’s personal health journey and transform lives through improved health management.

Expertise: Data Scientists, AI/ML Experts, Healthcare Visionaries and Leading Research Institutes

Jia Li, Ph.D.

Co-founder and Board Chair

IEEE Fellow, Founding Head of R&D, Co-founder, Google Cloud AI

Ramesh Jain, Ph.D.
Co-founder, Board Director

Fellow of IEEE, ACM, AAAI, AAAS, IAPR, SPIE; Founding Director of Institute for Future Health

Bryant Lin, MD
Co-founder, Board Director

Director, Medical Humanities and Arts, Stanford Center for Biomedical Ethics; Co-Founder and Co-Director, Stanford CARE

Robson Capasso, MD
Co-founder

Head of Virtual Health, Associate Dean, Stanford School of Medicine; Chief of Sleep Surgery, Stanford Health; Fellow, AASM

Renu Bhatia, MBA
Co-founder, Board Director

VP, NVIDIA