Mr. Arvind Chaudhary Honored with Best Researcher Award in Healthcare at Manchester, UK Conference - London Business News | Londonlovesbusiness.com
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Mr. Arvind Chaudhary Honored with Best Researcher Award in Healthcare at Manchester, UK Conference - London Business News | Londonlovesbusiness.com
"This year's awards drew over 1,780 nominations from more than 20 countries, with only the top 5% of nominees selected after a rigorous multi-round evaluation by eminent academic and industry experts. Mr. Chaudhary's research stood out for its originality, global relevance, and real-world impact, seamlessly bridging theoretical advances with practical applications in healthcare computing through Artificial Intelligence (AI) and Machine Learning (ML)."
"A central focus of his research tackles the growing burden on healthcare systems to optimally schedule Radiotherapy (RT)-a treatment required in more than half of all cancer cases. His widely acclaimed paper, "A State-of-the-Art Review of Adaptive Scheduling and Optimization in Radiotherapy: Bridging Operational Research and Clinical Practice," published in the International Journal of Innovation Studies (July 2025), offers pioneering insights into enhancing RT scheduling through adaptive and AI-driven strategies. The journal's Q1 ranking further underlines the academic rigor and impact of his work."
Arvind Kumar Chaudhary received the Best Researcher Award—Healthcare at the 6th International Conference on Computing and Communication Networks, presented during the International Universal Innovators Leadership Awards (IUILA-2025) ceremony at ICDAM-2025 in London. The awards attracted over 1,780 nominations from more than 20 countries, with only the top 5% selected after rigorous multi-round evaluation by eminent academic and industry experts. His research integrates AI and ML with healthcare computing, emphasizing originality, global relevance, and measurable real-world impact. A central research focus is adaptive scheduling and optimization in radiotherapy to reduce operational constraints, enhance flexibility, and support real-time decision-making. The work was published in the Q1-ranked International Journal of Innovation Studies (July 2025).
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