CMBHClinical Research Partner With CMBH

CMBH Research Intelligence In development

From Research Opportunity to Clinical Evidence

An AI-assisted research intelligence and site-matching platform in development.

Current status: in development. No working functionality is claimed on this site. Everything below describes the planned platform. It is decision support, and human scientific and regulatory oversight remains essential.

Proposed capabilities

What the platform is intended to do

Search verified investigators and sites

By specialty, location, and readiness.

Match protocols to capabilities

Match protocol requirements to site capabilities and eligible patient populations.

Analyze evidence and unmet needs

Analyze published research, unmet needs, and appropriately authorized aggregate population signals to suggest future research questions.

Track feasibility and operations

Track feasibility, enrollment, and operations with human review.

Support sponsor decisions

Help sponsors decide what to study, where, and with whom.

Two planned workflows

How it would be used

Workflow A

Sponsor-initiated

Match a proposed protocol to qualified investigators, sites, and feasible patient populations.

Workflow B

CMBH-originated

Suggest promising research questions to sponsors from published research, unmet needs, authorized aggregate signals, and investigator feedback.

  1. 01

    Evidence and need

    Scientific evidence and unmet-need signals.

  2. 02

    AI-assisted analysis

    Opportunity analysis to surface candidates.

  3. 03

    Feasibility matching

    Investigator and site feasibility matching.

  4. 04

    Human scientific review

    Qualified people review every recommendation.

  5. 05

    Protocol development

    Sponsor protocol development with qualified partners.

  6. 06

    Execution and learning

    Coordinated execution, then lawful learning and dissemination.

The platform is intended to recommend, not to make autonomous medical or regulatory decisions. It would use only authorized data, document data provenance, protect privacy, assess bias, and validate recommendations with qualified humans. It does not imply access to medical records, use of identifiable patient data without permission, or validated AI predictions. Observed patient populations are not the same as verified trial eligibility, demand, commercial market size, or efficacy.