ADEEB NOOR
Ventures / Research Translation

Research is more valuable when it can become infrastructure.

I build and shape ventures where research credibility, operational need and scalable technology meet — especially in health, education and institutional AI.

Explore a partnership →Request advisory →See the research →
Venture portfolio

Problem → evidence → system → scale.

The ventures below are different in domain, but share the same build logic: start from a consequential problem, encode the evidence, create a usable system, then design for adoption and partnership.

Personalized Medicine

GenomeFit

Co-founded venture

From genomic information to more individualized health decisions.

GenomeFit emerged from personalized-medicine work in the KAUST innovation ecosystem, using genomic analysis to support genetic screening and drug-response decisions.

Research baseGenomics, drug response and personalized medicine
Innovation pathwayDeveloped through the KAUST ecosystem and TAQADAM
Venture logicTranslate complex analysis into usable decision support
Read KAUST feature →Personalized medicine →
AI-Enabled Clinical Innovation

HEALTHx

Platform concept

Turn hospital innovation into reusable digital-health assets.

HEALTHx is designed as an AI-enabled clinical innovation platform: a way to transform hospital ideas and validated solutions into licensable digital-health IP, APIs, AI models and scalable health-as-a-service offerings.

ProblemHospital innovation often remains local, fragmented and hard to commercialize
SystemA structured layer for IP, APIs, models and reusable clinical services
OpportunityHealth-system, technology and investment partnerships
Discuss HEALTHx →
Digital Health Platform

SHIFAA

Founded at King Abdulaziz University Hospital

Patient access as part of hospital digital modernization.

SHIFAA was founded and launched at King Abdulaziz University Hospital as part of a broader digital-modernization program, improving the way patients access services and interact with the hospital digitally.

ContextUniversity hospital digital transformation
RoleFounder and technology leadership
TranslationFrom service challenge to patient-facing platform
Visit SHIFAA →
How I build with partners

Not “innovation theater.” A translation path.

I prefer partnerships where the decision rights, evidence, product boundary and path to adoption are explicit from the beginning.

01 · DEFINE

Frame the consequential problem

What decision is being made, for whom, and what changes if the system is wrong?

02 · EVIDENCE

Make the knowledge testable

Identify data, assumptions, validation criteria and the evidence required for trust.

03 · SYSTEM

Build the operating layer

Translate the research into a workflow, product, API, model or institutional capability.

04 · SCALE

Design for adoption

Governance, partnership model, commercialization and implementation are part of the design.

Partnership fit

Where I can add the most value.

The best collaborations combine a meaningful problem, credible domain access and a partner prepared to move from concept to implementation.

Health systemsClinical innovation, digital-health platforms, AI governance and commercialization.
Technology partnersAPIs, AI products, decision systems and research-backed product design.
InvestorsHealthTech, EdTech and AI ventures where research depth matters.
InstitutionsOperating models, research strategy and transformation programs.

Have a research asset, clinical problem or AI idea that should become a real system?

Bring the problem and context. I can help shape the evidence, product logic and operating model.

Explore partnership →