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How the UAE Is Using AI and Genomics to Screen 815+ Genetic Conditions

  • On September 8, 2026

Healthcare has traditionally focused on what happens after symptoms appear. The UAE is investing in a different approach: using technology, health data and genetics to identify risks earlier and give healthcare professionals more time to act.

Across the country, artificial intelligence, genomics, predictive analytics and precision medicine are becoming part of preventive healthcare. From screening newborns for hundreds of genetic conditions to using AI to flag potential signs of sepsis, the goal is to move healthcare closer to early detection and personalized prevention.

From Reactive Care to Predictive Healthcare

Predictive healthcare uses medical data to identify patterns that could signal a future health risk. Rather than waiting for a condition to become more serious, doctors can use these insights alongside traditional clinical assessment to intervene earlier.

This approach is taking shape across several areas of the UAE healthcare system.

Abu Dhabi’s Future Health initiative, for example, adopted “To Sense is to Predict” as its 2026 theme, with a focus on precision medicine, AI and digital health, resilient healthcare systems and investment in life sciences.

The broader idea is simple: the more healthcare providers understand about an individual’s genetics, medical history and health indicators, the greater the opportunity to make care more targeted and preventive.

815+ Genetic Conditions Can Now Be Screened From Birth

One of the clearest examples comes from Abu Dhabi’s newborn genetic screening program.

 

The program can screen for more than 815 treatable genetic conditions, including conditions that may not show obvious symptoms when a child is born.

This matters because some genetic conditions can become significantly more difficult to manage if they are discovered later. 

Genomics is also being introduced at other stages of life.

Genetic testing within premarital screening covers 570 genes associated with more than 840 medical conditions, providing couples with more information about potential inherited health risks.

The UAE is also exploring pharmacogenomics, which examines how a person’s genes can influence their response to medication. This can help healthcare professionals determine which treatments may be more suitable for an individual rather than relying solely on a one-size-fits-all approach.

AI Is Already Supporting Earlier Detection

Artificial intelligence is another important part of this shift, and its applications extend well beyond administrative automation.

Across UAE healthcare facilities, AI is being applied to medical images and patient data to help professionals identify warning signs earlier.

In breast cancer screening, for example, AI can assist with the analysis of mammograms and highlight suspicious areas for further examination.

Smart warning systems are also being used to identify patterns associated with sepsis and septic shock, potentially giving medical teams an earlier indication that a patient’s condition is deteriorating.

Other applications being explored or deployed include predicting pregnancy complications, monitoring premature babies, forecasting seizures in children and analysing retinal images for early signs of diabetes-related complications.

AI does not replace the doctor in these scenarios. Its value lies in helping medical professionals process large amounts of information and identify patterns that may require closer attention.

Prevention Is Becoming More Personal

The UAE’s strategy also extends into chronic disease and healthy ageing.

Conditions such as diabetes, cardiovascular disease and obesity are influenced by many factors, from genetics to lifestyle and behaviour. Instead of approaching every patient in the same way, data can help healthcare providers understand which risks are most relevant to each individual.

The UAE’s Behavioral Insights project, for instance, combines behavioural science with large datasets to better understand the factors influencing health decisions. These insights can then support more targeted interventions, including personalized notifications and awareness initiatives.

Meanwhile, Emirates Health Services’ Healthy Longevity initiative brings together genomics, AI and regenerative medicine to assess health risks and support healthier aging.

Its tools include genome analysis and AI-based biological-age assessments, alongside analysis of factors such as retinal age, inflammation, cardiovascular indicators, gait and movement.

Building Healthcare Around Data

Another important development is the Itma’en program, which focuses on proactive and predictive healthcare.

The initiative uses a smart system to monitor key health indicators over time. AI and data analytics can then help identify potential risks and support personalized preventive recommendations.

This represents an important change in how health data can be used. A medical check-up provides a snapshot of someone’s health at a particular moment. Continuous or regular monitoring can provide a longer-term picture, making changes and emerging patterns easier to identify.

What This Could Mean for UAE Healthcare

The UAE’s approach points toward a healthcare system where the first interaction with a condition may increasingly happen before serious symptoms appear.

For patients, that could mean more personalized screening and earlier interventions. For healthcare providers, AI and health data can provide additional tools for identifying risk and making informed decisions. For the wider healthcare sector, it creates opportunities across health technology, genomics, diagnostics, data infrastructure and precision medicine.

There are also important questions that will continue to accompany this development, particularly around data privacy, clinical validation, responsible AI use and the protection of sensitive genetic information.

The UAE is bringing together AI, genomics, predictive analytics, precision medicine and preventive screening to move healthcare earlier in the patient journey.

The ambition is not simply to treat illness more effectively. It is to understand risk sooner, intervene where possible and help people stay healthier for longer.

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