By Elizabeth Osayande

Cardiovascular disease has quietly become one of Nigeria’s most lethal public health threats. Often undetected until it is advanced, heart disease now accounts for an estimated 11 per cent of all deaths in the country, as reported by WHO in 2021. Hypertension, heart failure and valve-related conditions are rising steadily, fuelled by rapid urbanisation, lifestyle changes and limited access to early diagnosis. Behind the statistics are real people: breadwinners who collapse at work, mothers whose persistent fatigue is dismissed as stress, young adults shocked by diagnoses once associated with old age.

At the centre of confronting this growing crisis is George Ayobami Thomas, a Nigerian biomedical expert at Iowa State University in the United States. Specialising in Machine Learning, Agentic Artificial Intelligence, Computational Fluid Dynamics and Digital Twin research, Thomas represents a new generation of African engineers working at the frontier of precision medicine. With a strong academic and industrial foundation in mechanical engineering, his work focuses on how intelligent systems can transform the design of critical medical devices, particularly bioprosthetic heart valves, to improve outcomes for African patients.

Heart disease has earned the label of a “silent killer” not simply because it progresses without noise, but because the systems meant to confront it remain constrained. As shown by data in the 2013 Pan-African Medical Journal, open-heart surgery in Nigeria can cost between $6,000 and $11,000, often exceeding ₦9 million, placing life-saving care far beyond the reach of the average household. Even when families raise these sums, outcomes are shaped by limited access to advanced, patient-specific devices. Imported heart valves are typically designed around standardised anatomical assumptions, largely derived from non-African populations, leaving surgeons to make difficult compromises in cases where precision is essential.

The Power of Precision Medicine and Agentic Artificial Intelligence

Precision medicine seeks to move healthcare away from one-size-fits-all solutions toward interventions tailored to the individual patient. In cardiac care, this means recognising that no two hearts are identical in structure, flow dynamics or tissue response. Yet, traditional valve design has struggled to accommodate this complexity, relying on manual engineering processes and incremental testing that are both time-consuming and expensive.

Thomas’s research introduces “agentic artificial intelligence” as a solution to this limitation. Unlike conventional AI systems that primarily identify patterns from historical data, agentic AI is designed for autonomous reasoning. These systems actively explore design spaces, test multiple scenarios and make informed decisions within defined physical and engineering constraints. In practical terms, this allows thousands of valve design configurations to be evaluated computationally, long before manufacturing begins.

“For too long, precision has been limited by what we could physically prototype,” Thomas explains. “With agentic AI, we can simulate how a valve will behave in a specific patient under realistic conditions before surgery ever takes place.”

Why Heart Valve Design Matters in Africa

According to data from the Nigerian Cardiac Society and World Health Organisation country profiles, cardiovascular disease in Nigeria is no longer confined to older adults. Increasingly, patients in their thirties and forties are presenting with advanced conditions, often after years of unmanaged hypertension. For these younger patients, valve failure or repeat surgery carries lifelong implications, affecting productivity, family stability and long-term healthcare costs.

Bioprosthetic heart valves play a critical role in managing valve failure, but durability and fit remain persistent challenges. When a valve does not align properly with a patient’s anatomy, it can disrupt blood flow, accelerate wear and increase the likelihood of re-operation. In resource-constrained healthcare systems, each failed device places additional strain on limited surgical capacity and public health budgets.

Bridging Global Innovation and Local Need

A core component of Thomas’s work is the use of digital twins. These are high-fidelity virtual replicas of physical systems that mirror real-world behaviour with remarkable accuracy. By combining digital twins with computational fluid dynamics, Thomas can model how blood flows through a valve, how materials respond to stress and how the device performs over time.

This approach allows engineers to identify weak points, optimise fluid flow and improve material selection before a valve is ever implanted. The result is a design process that is faster, more precise and significantly more cost-effective than traditional methods. For developing countries, the ability to improve device performance at the design stage has profound implications for both patient safety and healthcare sustainability.

Thomas’s expertise is not limited to cardiology. Drawing on his background in aerodynamics and sustainable energy, Thomas applies the rigorous physics of industrial fluid dynamics to the delicate environment of the human heart.

Like many Nigerian researchers in the diaspora, Thomas is acutely aware of the responsibility to translate global innovation into local impact. He advocates for African universities, teaching hospitals and research institutes to adopt advanced simulation tools and intelligent design frameworks as practical instruments for leapfrogging traditional barriers in healthcare delivery.

“We cannot continue to depend entirely on imported solutions that have not been validated for our populations,” he says. “If we can democratise access to high-precision modelling and intelligent systems, we can make safe heart surgery more attainable and rebuild trust in our healthcare systems.”

Engineering the Future of African Healthcare

The urgency of this vision is underscored by global trends. WHO projects a continued rise in non-communicable diseases across Africa over the next decade, with cardiovascular conditions among the leading drivers of mortality. Addressing this shift will require more than public health messaging. It requires intelligence, empathy and engineering converging.

George Thomas’s research work at Iowa State University offers a glimpse of a future where heart surgery is guided by data-driven precision rather than approximation or financial constraints. In confronting the “silent killer,” his approach underscores that African healthcare must integrate engineering-led solutions, embedding accuracy, efficiency, and equity into the very foundations of care, ensuring safer, patient-specific outcomes across the continent.