As healthcare systems worldwide grapple with rising cancer rates, chronic diseases and limited clinical resources, a Bangladeshi researcher is contributing to a new wave of medical transformation through artificial intelligence.
Denesh Das, currently pursuing graduate-level studies in Industrial Engineering at Lamar University, is advancing research that integrates AI, medical imaging and healthcare systems engineering to improve disease detection and clinical decision-making.
Das has built a strong interdisciplinary academic foundation to support his research. He completed a Master of Engineering in Electrical and Computer Engineering at Lamar University in 2025, where he developed expertise in intelligent systems, data analytics and engineering optimisation.
Earlier, he earned a Bachelor of Science in Electrical and Electronic Engineering from Southern University Bangladesh in 2014, laying the technical groundwork for his work at the intersection of engineering, artificial intelligence and healthcare.
A central focus of his research is AI-assisted cancer diagnosis, an area of urgent global importance. In breast cancer studies, Das has demonstrated how machine-learning models can accurately distinguish between benign and malignant tumours using clinical biopsy data.
His findings indicate that AI-based approaches can achieve diagnostic performance comparable to conventional assessment methods.
Researchers believe such tools could enable earlier detection, reduce diagnostic errors and accelerate clinical decision-making, directly influencing patient survival rates.
Das has also contributed to advancements in skin cancer detection, particularly melanoma, one of the most aggressive forms of cancer. By applying deep-learning techniques to dermoscopic images, he has shown how AI systems can identify subtle visual patterns that clinicians may overlook during manual examinations.
This approach could prove especially valuable in regions facing shortages of experienced dermatologists, as it offers scalable and consistent screening solutions.
Beyond oncology, his research addresses chronic and often silently progressing conditions such as liver disorders, where delayed diagnosis frequently leads to severe complications. Through AI-driven predictive modelling, Das has explored methods to identify high-risk patients at earlier stages, potentially shifting healthcare systems from reactive treatment to preventive care strategies.
What distinguishes his work is its broader system-level vision. Rather than developing isolated algorithms, Das examines how AI can operate within smart, connected healthcare ecosystems.
His research explores the integration of intelligent analytics with emerging technologies, including Internet of Things-based monitoring systems and high-speed communication networks, to enable remote patient supervision, real-time diagnosis and more efficient healthcare delivery.
Guided by principles of optimisation, scalability and reliability drawn from industrial engineering, Das aims to translate research into practical implementation.
Observers note that his work opens new pathways for next-generation medical technologies and strengthens Bangladesh’s presence in the global scientific community.
Currently continuing his studies in Industrial Engineering at Lamar University, Denesh Das represents a growing group of Bangladeshi researchers contributing to cutting-edge healthcare innovation on the international stage.
Courtesy: The Daily Sun
Bd-Pratidin English/ AM
