Manish Raturi

Papers

Total Citations

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About

Manish Raturi is a forward-looking researcher whose work sits at the intersection of artificial intelligence and healthcare logistics, with a particular focus on optimizing blood donation systems. His most-cited paper, "The Role of Artificial Intelligence in Optimizing the Donation Process and Predicting Blood Thresholds" (2023), has already garnered 4 citations, signaling early impact in a critical area of public health. Raturi’s major contribution lies in applying machine learning models to forecast blood supply and demand, thereby improving the efficiency of donation drives and reducing waste. By predicting blood thresholds, his work helps hospitals and blood banks better prepare for shortages, ultimately saving lives. This research is notable for its practical, real-world applications, bridging the gap between data science and emergency medicine. Raturi’s approach demonstrates how AI can transform a traditionally manual process into a data-driven, predictive system. As a researcher, he is dedicated to leveraging technology for social good, and his growing citation count reflects the relevance of his work to both academics and practitioners. For students and researchers exploring AI in healthcare, Raturi’s work offers a compelling case study in how computational tools can address pressing logistical challenges.