From theory to therapy: real-world application of quantum computing in healthcare

Adarsh Singh Bajkoti, Shaurya Tiwari, Tanishq Ranjan +2 more

In the present work, the computer revolution is witnessed by surveying the literature based on experiments and hypothesis on how quantum computing may improve imaging, diagnosis, therapy, and population health. The healthcare industry is advancing quickly with innovation. Quantum computing and metaverse are developing advances that are likely to revolutionize the healthcare domain. Quantum computing has the potential to enhance the implementation of personalized pharmaceuticals and improve diagnostics. On the other hand, metaverse holds a guarantee in changing the way healthcare administrations are conveyed and how patients get connected with healthcare suppliers. This research study provides an outline of quantum computing's current state and metaverse innovation in healthcare & pharmaceutical industry, counting the different applications and utilizing cases. This research study investigates how quantum computing can help in genomics and clinical inquiry, diagnostics, and image restoration, whereas the metaverse can offer telemedicine, persistent checking, and preparing. Moreover, this research study examines the challenges and impediments of these innovations and the long- haul scope for their selection in healthcare. According to our study, advances in quantum computing and the metaverse might revolutionize the pharmaceutical and healthcare industries in the future by delivering high-quality, low-cost, and individualized treatment to people all over the world.

R. M. Tharsanee, B. Vishnuupriya, C. Anand Deva Durai

Elakkiya Elango, Gayathri Nagasubramanian, S. Rakesh Kumar

Teckla Tifuh Njei, Taiwo Dolapo Oluyemo, Oladipo Israel Owoyomi +3 more

This paper explores the transformative power of revolutionizing healthcare through quantum computing and artificial intelligence (AI). The focus is on how these advanced technologies help drive drug discovery and public health strategies based on the premise that traditional methodologies for developing drugs have become inefficient, especially with a very low success rate for viable therapy. Thus, there is a need for innovative techniques capable of enhancing the effectiveness of the process. Quantum computing enables simulations and complex calculations that are not achievable using traditional computers, providing more efficient ways to identify more effective therapies and drug candidates. The combination of AI-powered algorithms to optimize predictive analytics, this capability is poised to improve public health outcomes while shortening timelines for drug discovery. Using empirical evidence backed up by case studies, this study finds that these technologies can expedite new medication development while supporting healthcare systems to address the pressing concern of ageing populations and emerging diseases. Although some challenges exist with integrating these technologies, including technical limitations and ethical concerns like data privacy, experts are finding ways to balance the potential of quantum computing and AI to protect individual patients' rights and provide equitable access to real-time healthcare solutions.

Kinjal Gandhi, Dweepna Garg, Milind Shah +2 more

B. Anupama, Shaik.Jareena, Ch. Sai Manasa +3 more

Quantum computing is a revolutionary method of information processing.Utilizing the concepts of quantum mechanics to tackle complicated problems at previously unheard-of rates. In the healthcare sector, advancements in quantum computing are poised to revolutionize various applications, including drug discovery, personalized medicine, and medical imaging. This paper explores the current state of quantum computing technologies and their potential implications for healthcare and discuss how quantum algorithms can enhance data analysis, optimize treatment plans, and facilitate the simulation of molecular interactions, leading to more effective therapies. Furthermore, we examine the challenges and ethical considerations associated with integrating quantum computing into healthcare systems. The findings suggest that while still in its infancy, quantum computing holds significant promise for improving patient outcomes and streamlining healthcare processes.