WASHINGTON — July 13, 2026 — The U.S. Department of Health and Human Services (HHS) has launched a sweeping national initiative to accelerate artificial intelligence innovation for Lyme disease, Alpha-gal syndrome (AGS), Long COVID, and other invisible illnesses, committing up to $2.5 million across multiple innovation challenges and a nationwide call to action designed to speed diagnosis, improve care, and transform federal open data into real-world healthcare solutions for millions of Americans.

At the center of the initiative is the TOPx HHS Tech Sprint for AI and Invisible Illness, a national innovation challenge offering up to $2 million in cash prizes, including a $1 million grand prize, in collaboration with the National Institutes of Health (NIH), the LymeX Innovation Accelerator, and the Federal CDO Council. Team Mobilization (Phase 1) submissions are due July 15, 2026.

As part of the initiative, HHS has appointed Duvi Honig, Founder and Chief Executive Officer of the Orthodox Jewish Chamber of Commerce, to serve on the competition’s evaluation panel, joining leaders from government, healthcare, technology, academia, research, and innovation to help evaluate submissions and advance the next generation of AI-powered healthcare solutions.

“It is an extraordinary honor to be appointed by Secretary Robert F. Kennedy Jr. to serve on the evaluation panel for this groundbreaking national initiative,” Honig said. “I look forward to working closely with Secretary Kennedy, HHS, NIH and leaders across government, academia, healthcare and technology to help usher in a new era of AI-driven innovation for American healthcare. Together, we have an opportunity to help shape the future of health technology in the United States, modernize our healthcare system, and advance innovations that improve patient outcomes across the Department of Health and Human Services. This includes accelerating earlier diagnoses, improving care for Lyme disease and other invisible illnesses, and developing solutions that will improve—and save—lives for generations to come.”

A National Call to Innovate

The U.S. Department of Health and Human Services (HHS) unveiled a sweeping plan to combat Lyme disease and advance treatment for millions of Americans living with Lyme disease, Alpha-gal syndrome (AGS, the “meat allergy”), Long COVID, and other complex chronic conditions that are often invisible illnesses.

As part of this effort, HHS launched up to $2.5 million across three TOPx and LymeX innovation challenges and a national call to action. Together, these digital innovation efforts will accelerate diagnosis, improve care, and transform federal open data into real-world solutions that improve health outcomes.

The TOPx Challenge

The TOPx HHS Tech Sprint for AI and Invisible Illness is a national innovation challenge and prize competition offering up to $2,000,000 in cash prizes, conducted in collaboration with the National Institutes of Health (NIH), the LymeX Innovation Accelerator, and the Federal CDO Council.

Challenge Question

How might we use U.S. Open Data and AI to turn fragmented signals into trusted insights, so people living with Lyme disease, Long COVID, and other complex chronic conditions are believed earlier, diagnosed faster, and supported with care that works?

How It Works

Inspired by the U.S. Census Bureau’s Opportunity Project (TOP) model, TOPx is a fast-paced technology sprint that brings together government, industry, academia, nonprofits, and the public to build digital-first solutions using open data and artificial intelligence.

The effort advances the President’s Management Agenda priority to deliver secure, digital-first services built for real people while eliminating data silos across government and advancing HHS priorities.

Participants will compete for up to $2,000,000 in prizes by using U.S. Open Data and AI to develop tools and insights that address the following focus areas.

TOPx Focus Areas

Lyme Innovation

No one should suffer years of uncertainty from a preventable tick-borne infection. How might we use U.S. Open Data and AI to detect Lyme disease earlier, diagnose faster, coordinate care, and improve patient outcomes?

Invisible Illness

What we don’t measure, we don’t treat—and women are disproportionately affected. How might we use U.S. Open Data and AI to make invisible illness visible, accelerate diagnosis, improve care, and create meaningful real-world impact?

Cost of Illness

Patients and families carry the burden in silence. How might we use U.S. Open Data and AI to quantify the full healthcare, economic, workplace, and family impact of chronic illness, making those costs visible, measurable, and impossible to ignore?

Who Should Participate

The competition is open to eligible U.S.-based:

• AI developers
• Software engineers
• Researchers
• Designers
• Physicians and clinicians
• Entrepreneurs
• Students
• Universities
• Patient advocates
• Innovators across the public and private sectors

Team Mobilization (Phase 1) submissions are due July 15, 2026.

Expected Impact

HHS expects the sprint to catalyze dozens of practical tools, prototypes, and AI-enabled solutions within months—not years.

Participants may develop solutions that:

• Improve recognition of invisible illnesses, including Long COVID and other infection-associated chronic conditions and illnesses (IACCIs).
• Detect Lyme disease and other tick-borne diseases earlier.
• Support faster diagnosis, improved care coordination, and more informed clinical decision-making.
• Make the human and economic burden of chronic illness more visible, measurable, and actionable.

Learn More and Participate

Enter the Challenge:
https://api.jewishadgroup.com/e8bLRb

HHS Evaluation Panel Appointees:
https://api.jewishadgroup.com/OfPEoF

Official HHS Announcement:
https://api.jewishadgroup.com/RjiMEl

The TOPx HHS Tech Sprint is led by the U.S. Department of Health and Human Services, in collaboration with the NIH Office of Research on Women’s Health, the LymeX Innovation Accelerator, and the Federal CDO Council’s Data-Driven Government Working Group.

For additional information about the challenge, contact:

[email protected]