Seedlabs

Profile-First Recruitment Registry for Neurodevelopmental Trials

A recruitment and stratification service for neurodevelopmental research that matches study participants by data-driven cognitive-behavioral profiles instead of diagnostic labels, giving trials and academic studies cleaner, better-powered samples.

MedicineAttention Deficit Hyperactivity Disorder
Attention Deficit Hyperactivity DisorderClinical trial recruitment and study design for neurodevelopmental disorders (pharma/biotech and academic research).

Concept

Today, neurodevelopmental studies and clinical trials recruit by DSM label ("children with ADHD, ages 6–12"), which assembles heterogeneous samples that mask real effects. This service maintains a consented family registry in which each child completes a brief dimensional battery — cognitive tasks (working memory, inhibition, processing speed) plus behavioral questionnaires. A clustering engine assigns each child to data-driven profile strata (e.g., "severe working-memory delay with intact social communication") that cut across diagnostic boundaries. Sponsors then recruit by profile — "all registry children in the EF-delay stratum, regardless of diagnosis" — and can pre-register subgroup analyses on those strata. Deliverables: profile-screened participant feeds, stratum-balanced randomization, and harmonized dimensional endpoints, so the same child can serve multiple studies across diagnostic lines.

Why now

The new review [0] argues that study design, recruitment, analysis, and theory in neurodevelopmental research are all built on the assumption that diagnostic criteria reflect underlying reality — an assumption it concludes is impeding progress — and it highlights data-driven characterization of cognition, behavior, and neurobiology as the way forward. Corpus work reinforces this: [1] shows that reliance on categorical diagnoses poses significant challenges for research and proposes a neurodevelopmental spectrum, and the 180-study executive-function meta-analysis [2] shows EF delays behave as a transdiagnostic feature that does not map onto diagnostic boundaries. The scientific case for profile-based recruitment is therefore already made; what is missing is the registry-and-stratification infrastructure to operationalize it.

Written by GLM · 2 Oct 2026

AI assessment

Backed by 3 papers87

A high-utility recruitment infrastructure that operationalizes the transdiagnostic shift in neurodevelopmental research to reduce trial noise and increase statistical power.

Evidence strength
5/5
The idea is directly supported by three converging sources: a review advocating for transdiagnostic design, a meta-analysis proving EF delays are transdiagnostic, and a framework for a neurodevelopmental spectrum.
Market pull
4/5
Pharma and academic consortia have a high urgency to reduce trial failure rates caused by sample heterogeneity, making them strong potential buyers.
Novelty & moat
4/5
While other ideas focus on specific biomarkers or diagnostics, this is a systemic recruitment and stratification registry that changes the 'unit of entry' for trials.
Feasibility
3/5
Building the software is easy, but the primary challenge is the 'cold start' problem of recruiting a sufficiently large, consented family registry.
Wedge clarity
5/5
The wedge is sharp: providing 'profile-screened participant feeds' to researchers who are currently struggling with noisy DSM-based samples.
Simplicity / focus
5/5
The product is a single, focused service: a registry that matches participants to trials based on cognitive profiles.

Scored by Gemma 4 · 2 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.

Persona discussion

AI personas trained on real people's expertise debate this idea as it evolves.

View the discussion →

Act on this idea

Ideas only matter if someone runs with them. Your message goes straight to the founder's inbox — nothing is stored on our servers.

Who benefits

  • Simons Foundationorganization

    Operates SPARK, one of the largest neurodevelopmental research registries; adding profile-based stratification would let its cohort serve studies that recruit by cognitive-behavioral profile rather than label, increasing scientific yield per participant.

  • Ovid Therapeuticscompany

    Runs clinical programs in rare neurodevelopmental conditions where small, heterogeneous samples make signal detection hard; profile-enriched recruitment could sharpen its trials.

  • Child Mind Instituteorganization

    Combines a large clinical population with an active research program; a profile registry would let it recruit study cohorts across diagnostic boundaries from its own families.

  • F. Hoffmann-La Rochecompany

    Has invested in neurodevelopmental psychiatry programs; stratified, transdiagnostic recruitment directly addresses the sample heterogeneity that has undermined CNS trials.

  • ENIGMA Consortiumorganization

    Aggregates brain-imaging and cognitive data across dozens of cohorts; harmonized dimensional profiles would strengthen its cross-site analyses of neurodevelopmental variation.

Research it builds on

  1. Annual Research Review: The transdiagnostic revolution in neurodevelopmental disorders
    Duncan Edward Astle, Joni Holmes, Rogier Kievit et al. · 2021 · 394 citations
    All ideas from this paper →
  2. Executive function in children with neurodevelopmental conditions: a systematic review and meta-analysis
    Ayesha K Sadozai, Carter Sun, Eleni A. Demetriou et al. · 2024 · 91 citations
    All ideas from this paper →
  3. Where do neurodevelopmental conditions fit in transdiagnostic psychiatric frameworks? Incorporating a new neurodevelopmental spectrum
    Giorgia Michelini, Christina O. Carlisi, Nicholas R. Eaton et al. · 2024 · 84 citations
    All ideas from this paper →
Leave feedback
feasibility