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Why UAE / Why now

THE FOUNDATIONS
ARE ALREADY HERE.

The United Arab Emirates has invested significantly in advanced healthcare infrastructure, digital health, interoperable health data and artificial intelligence. These capabilities have created a strong foundation for the next evolution of healthcare.

Illustrative Emirati scientist and Gulf data specialist reviewing analytical patterns in a contemporary health research centre
Illustrative image · AI-generated

FROM USING DATA TO MANAGE DISEASE
TO USING DATA TO ANTICIPATE IT.

  1. HEALTHCARE
  2. HEALTH DATA
  3. ARTIFICIAL INTELLIGENCE
  4. CLINICAL SCIENCE
  5. PREDICTIVE HEALTH
01 / 2019 → Today

TECHNOLOGY HAS ADVANCED.
THE HEALTH CHALLENGE REMAINS.

2019 / A connected foundation

Malaffi is launched.

Abu Dhabi’s health information exchange marks a major step in connected care.

Source: Department of Health – Abu Dhabi ↗
Today / An evolving ecosystem

Connected data. Growing clinical capability.

The ecosystem includes interoperable records and predictive patient risk profiles. PHL proposes complementary investigation of deeper biological and longitudinal relationships.

2024 / IDF diabetes estimates
20.7%

Reported prevalence of diabetes in adults.

1.27 million

Adults estimated to be living with diabetes.

Source: IDF · UAE country profile, 2024 estimates ↗

All diabetes types; UAE adult population. These figures are not specific to Type 2 diabetes or exclusively to Emirati nationals. They are a burden snapshot, not a like-for-like trend comparison with 2019.

IF WE HAVE MORE DATA, MORE TECHNOLOGY AND MORE AI,
HOW DO WE TURN THEM INTO EARLIER HEALTH ACTION?

Predict Health Lab is designed around that question. Digital infrastructure and predictive clinical capability are complementary. The proposal aims to build on the UAE’s existing capabilities through local biological data and clinical validation.

  1. DATA
  2. PREDICTION
  3. EARLIER ACTION
02 / Why local data matters

AI IS ONLY AS RELEVANT
AS THE DATA
IT LEARNS FROM.

Artificial intelligence does not learn medicine in the abstract. It learns relationships from data generated by real populations. And populations are not biologically or environmentally identical.

These factors can influence biological trajectories and the way disease risk emerges. Models developed predominantly from populations elsewhere in the world therefore cannot simply be assumed to have identical calibration or performance in the Emirati population.

GENETICSEPIGENETICSMETABOLISMMICROBIOMEDIETLIFESTYLEENVIRONMENT
Illustrative Gulf clinician reviewing longitudinal patterns on a workstation; not PHL results
Illustrative image · AI-generated

Global AI is powerful. Local validation makes it relevant.

IF PREDICTIVE MEDICINE IS TO SERVE THE UAE,
IT MUST LEARN FROM THE UAE.

03 / An opportunity to help shape predictive health

NOT JUST A PLACE TO VALIDATE PREDICTIVE HEALTH.
AN OPPORTUNITY TO HELP SHAPE IT.

The programme proposes building predictive knowledge from the Emirati population, within the UAE healthcare environment, and evaluating whether that knowledge can support a new model of earlier, population-specific health intelligence.

Potential Phase I outputs / If successfully validated
  1. A high-resolution local health dataset
  2. Predictive knowledge derived from the Emirati population
  3. An Explainable AI model calibrated with local data
  4. Clinical knowledge about early disease trajectories
  5. A potential pathway towards population-scale predictive health

None of these outcomes presupposes national deployment. They create evidence upon which the UAE can decide what should happen next.

NOT AN ALGORITHM IMPORTED INTO THE UAE.
A PREDICTIVE MODEL BUILT WITH THE UAE.

EXPLORE THE PROGRAMME
Start a conversation

START A
CONVERSATION.

Predict Health Lab is seeking an institutional dialogue with the UAE to explore the proposed Predictive Health Programme and the framework required for its clinical validation.

Luis Perea · Project contact
luispereabcn@gmail.com
+34 623 976 846

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