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At the intersection of medical robotic surgery and drug discovery with quantum computing

Valery Herrington, Oluwafemi Adedeji

Published Jul 10, 2023• 3 citations
Publisher

Abstract

Quantum reserch computing paper that covers the pivotal concepts of how it may help to advance the fields of drug discovery and medical robotic surgery.
DOI
10.36227/techrxiv.23625192.v1

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At the intersection of medical robotic surgery and drug discovery with quantum computing

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Quantum reserch computing paper that covers the pivotal concepts of how it may help to advance the fields of drug discovery and medical robotic surgery.

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Classical natural language processing (NLP) has been successfully modeled and implemented to enable robots or chatbots to have some understanding of human languages and communication, but this has not been very effective to help the robots communicate effectively. Quantum computers introduce a multitude of new ways in which more highly complex and integrated robotics modeling and computations can be achieved, delivering finer control in robotics use cases with humans. As mentioned in articles “Genome assembly using quantum and quantum‑inspired annealing” “The pandemic highlighted the importance of and breadth of robotics applications, shining a light on a potential robotic future in healthcare, which we discuss here”, there is a lot more to explore in quantum computing. However, in this study, we will present how quantum robotics can help in developing superior surgical techniques where robots perform advanced medical surgeries, with a more sophisticated, faster, less intrusive process that achieves more successful patient outcomes in complex surgery processes that might otherwise take repeat surgeries with multiple human medical teams. This approach will include the use of quantum natural language processing (QNLP) [1,2]
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The drug discovery process necessitates a significant investment of time and resources. Typically, over a decade and billions of dollars are required to bring a single drug to market. However, quantum computing may provide a solution to these challenges. It not only has the potential to streamline drug discovery but also to enhance the quality and accuracy of the results. This chapter explores the innovative amalgamation of quantum computing and pharmaceutical research. Traditional drug discovery methods, due to their time-consuming and costly nature, face numerous obstacles. Quantum computing, armed with its extraordinary computational power, could surmount these hurdles by providing efficient and precise simulations of drug molecules. This could, in turn, expedite the discovery of effective drug candidates. The chapter delves into the fundamentals of quantum computing, its application in drug discovery, and specific techniques relevant to this field. It also presents case studies of successful applications and discusses prospects, taking current limitations into account. A particularly exciting development in this field is quantum machine learning, a fusion of quantum mechanics and machine learning. This synergy could accelerate scientific advances by offering robust predictive modeling for drug discovery. Consequently, this chapter provides an in-depth exploration of a potential future in which quantum technology, artificial intelligence, and robotics are fully integrated. Such integration could revolutionize drug discovery, heralding a new era in health care and reshaping the boundaries of medical science and therapeutic development.