AI-Cheminformatics expert Nelson Evbarunegbe leads charge against tuberculosis in Africa

In Africa, the World Health Organization (WHO) has identified TB to be the second leading cause of death from a single infectious agent, causing nearly 2.5 million people to become ill with 424000 fatalities as records showed in 2022. Across several African countries, and on the global front, the disease has claimed millions of lives and further negatively impacted economies and nations, which is still a global concern till this very day.”

Recent outbreaks of tuberculosis in Africa has raised concerns among global health experts, but one researcher is working tirelessly to combat the disease using cutting-edge technology.
Nelson Evbarunegbe, a renowned AI-cheminformatics expert, has dedicated his research to developing innovative solutions to tackle tuberculosis and other global diseases.

With a strong academic background in chemical engineering, computer science, and data science, Evbarunegbe is uniquely positioned to tackle the complex challenges of drug discovery and development regarding these diseases.

His research focuses on harnessing the power of AI-driven cheminformatics to identify new antibiotic compounds and optimize existing ones. Evbarunegbe’s work has already shown promising results, having built several computer models that can predict properties and recommendations on material choices as well as drugs, contributing greatly on the global scale. He develops neural algorithms that model the organism as well as modeling drug entry systems that can impede the reproduction and spread of the organism within victims, further leading to health improvements.

According to Evbarunegbe, “AI-driven cheminformatics has positively impacted the field of drug discovery, enabling us to identify potential drug candidates faster and more accurately than ever before.”

Popularly known for transferring computational knowlegde from material science to biological networks, experts in the field praise Evbarunegbe’s work, citing his unique blend of technical expertise and passion for tackling global health challenges.

Evbarunegbe’s commitment to combating tuberculosis extends beyond his research as he also proposes to also use his extraordinary STEM skills to explore the universe at large (astronomy) as he has done for material science and biological networks. He proposes his scholarly tools can potentially help us uncover grey areas in our universe beyond Earth and could even provide much better hints on addressing public health issues.

In summary, Evbarunegbe aims to make a tangible impact on global health, particularly in Africa, where tuberculosis remains a major public health concern. “Tuberculosis is a preventable and treatable disease, yet it remains a leading cause of death in many parts of the world,” Evbarunegbe notes. “I believe that AI-driven cheminformatics can play a critical role in turning the tide against this disease.”

As the outbreak in Africa continues to unfold, Evbarunegbe’s research offers a beacon of hope for those affected by tuberculosis.