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Unlock the Archive
Make CHDS's data searchable and organized. Right now, 60 years of information about 70,000 people is scattered across old files that nobody can easily access. We're fixing that.
A New Frontier in Preventative Medicine
Build the Publicly Accessible
Build the Publicly Accessible
Exposome Atlas.
For 60 years, the Child Health and Development Studies (CHDS) has revealed how exposures during pregnancy shape health across entire lifetimes. Today, revolutionary AI advances have created an unprecedented opportunity: we can now unlock this irreplaceable archive of 70,000 people across four generations to transform how we predict, prevent, and treat disease on a global scale.
The Starting Point: $3M Pilot
The Discovery Time Machine Platform
We're starting with a $3M pilot project to prove this vision works. The Discovery Time Machine Platform will build a searchable database of CHDS's 60-year archive and use AI to find disease patterns hidden in decades of data.
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Train AI to Find Patterns
Use artificial intelligence to discover which prenatal exposures cause diseases decades later. AI can spot connections in the data that humans would never find on their own.
✅
Prove It Works
Confirm our discoveries with real medical evidence. We'll show that patterns found in the data match what we see in actual patient outcomes.
What We'll Build (36 Months)
Year 1: Create a searchable database with 4,000 families. Design a system where researchers can ask questions in plain English and get answers from 60 years of data.
Year 2: Turn on the AI system. Watch it find the first real discoveries about what prenatal exposures predict diseases in midlife.
Year 3: Scale to all CHDS families and confirm at least 20 major disease discoveries. Share results publicly so the whole world can access them.
This $3M pilot is the essential first step. Once we prove the concept works, we'll scale to the full $51M Exposome Atlas—making this resource available to researchers worldwide and accelerating the discovery of preventative treatments for disease across generations.
📋 Deep Dive Into the Science
Epidemiologists and AI experts can review the detailed technical proposal, budget, timeline, and scientific validation here:
Read the Full DTMP ProposalPDF • 3 pages • Includes budget breakdown, timeline, technical architecture, and team information
The Bigger Vision
Why This Matters: From Pilot to Global Scale
Once the $3M pilot proves we can find disease patterns, the $51M Exposome Atlas will take this worldwide. Researchers everywhere will be able to discover how early-life exposures affect health across generations—and use that knowledge to prevent disease before it starts.
❌ The Problem Today
- • CHDS's invaluable 60-year archive is locked away—researchers can't easily access it
- • We're missing discoveries about what causes early-onset cancer, obesity, and other diseases
- • Without this knowledge, we can't prevent disease in future generations
✅ The Solution
- • Build a global research platform that anyone can query
- • Use AI to automatically find disease-causing patterns in the data
- • Enable researchers worldwide to develop preventative treatments
Legacy of Impact: CHDS Discoveries
For over 60 years, the CHDS has been a cornerstone of public health research, producing landmark findings that connect early-life exposures to lifelong health outcomes.
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DDT Exposure and Breast Cancer Risk
A seminal CHDS study revealed that women exposed to high levels of the pesticide DDT in utero were nearly four times more likely to be diagnosed with breast cancer as adults. This groundbreaking finding reshaped our understanding of environmental carcinogens.
Read the Report🧬
Multigenerational Obesity from PCBs
Research demonstrated that a grandmother's exposure to PCBs during pregnancy could increase obesity risk across generations, revealing multigenerational metabolic disruption.
Explore the Study🔬
Pregnancy Hormones as Cancer Predictors
By analyzing stored serum samples, CHDS investigators found steroid hormone levels during pregnancy were associated with future maternal breast cancer risk.
View Publication🏭
Paternal Occupation & Offspring Cancer
A CHDS study found a link between paternal occupation and an increased risk of colorectal cancer in adult offspring, suggesting paternal exposures can have downstream effects.
See Dr. Cohn's Profile🤖
Modernizing Analysis with Rodin
Rodin, a Python-based tool for high-resolution mass spectrometry, streamlines metabolomics analysis, making cohort data more accessible to modern researchers.
Learn about Rodin
The Full Vision
The $51M Exposome Atlas: Building a Global Research Platform
After the $3M pilot succeeds, we'll scale to the full Exposome Atlas. This $51M investment will digitize all 50,000+ CHDS samples, build a global search platform any researcher can use, and create an AI engine that constantly finds new disease patterns—transforming how we prevent and treat disease worldwide.
| What We're Building | Investment |
|---|---|
| Convert blood samples to searchable data (all 50,000+ samples) | $25,000,000 |
| Build AI system to find disease patterns (3 years) | $6,000,000 |
| Scientists & technical experts to run the platform | $6,000,000 |
| Collect new health data from next-generation families | $5,000,000 |
| Cloud computers & data storage (10 years of operation) | $7,500,000 |
| Build the global search website & teach researchers worldwide | $1,500,000 |
| TOTAL VISION | $51,000,000 |
Our Investment Path
$3M
Pilot (Now)
Prove the concept with DTMP
→
$51M
Full Vision
Global Exposome Atlas
Join the Movement
Whether you're a potential investor, researcher, or partner, we'd love to hear from you. Let's build the future of preventative medicine together.