Quantum Computing in Healthcare - Unlocking New Frontiers in Drug Discovery and Data Management DOI Creative Commons

Nandhakumar Raju,

Fardin Quazi,

Prashant Kondle

и другие.

Опубликована: Дек. 30, 2024

The advent of quantum computing stands to revolutionize the healthcare landscape, including groundbreaking solutions its biggest challenges. Drastic advancements in AI processing and analysis data, far more than classical capabilities, open possibilities for drug discovery, genomics, patient etc. Quantum speeds up search potential candidates by simulating molecular interactions at unprecedented rates, which leads accelerated graphing other subsequently saving time money on drugs. Moreover, it enables optimization data systems ensure interoperability secure, efficient management records all a pressing requirement age big data. paper explores sphere prospective applications healthcare, particularly focusing discovery management. It delves into how algorithms like variational eigensolvers (VQE) machine learning models tackle unique challenges biological managing sensitive Using specific examples case studies, demonstrates fields protein folding, personalized medicine, real-time monitoring. opportunities are vast, but also so too with bringing high costs, limited access hardware need specialized expertise. This is further compounded ethical considerations such as privacy equitable quantum-powered solutions. Navigating these challenges, however, intersection industry presents paradigm shift, one that could accelerate medical breakthroughs heightened precision efficiency fraction cost. To encourage inspire interest collaborations within this highly active field, will serve outline current state, opportunity future healthcare.

Язык: Английский

Monte Carlo Simulations in Nanomedicine: Advancing Cancer Imaging and Therapy DOI Creative Commons
James C. L. Chow

Nanomaterials, Год журнала: 2025, Номер 15(2), С. 117 - 117

Опубликована: Янв. 15, 2025

Monte Carlo (MC) simulations have become important in advancing nanoparticle (NP)-based applications for cancer imaging and therapy. This review explores the critical role of MC modeling complex biological interactions, optimizing NP designs, enhancing precision therapeutic diagnostic strategies. Key findings highlight ability to predict bio-distribution, radiation dosimetry, treatment efficacy, providing a robust framework addressing stochastic nature systems. Despite their contributions, face challenges such as complexity, computational demands, scarcity reliable nanoscale data. However, emerging technologies, including hybrid approaches, high-performance computing, quantum simulation, are poised overcome these limitations. Furthermore, novel advancements FLASH radiotherapy, multifunctional NPs, patient-specific data integration expanding capabilities clinical relevance simulations. topical underscores transformative potential bridging fundamental research translation. By facilitating personalized nanomedicine streamlining regulatory trial processes, offer pathway toward more effective, tailored, accessible treatments. The continued evolution simulation techniques, driven by interdisciplinary collaboration technological innovation, ensures that will remain at forefront nanomedicine’s progress.

Язык: Английский

Процитировано

2
Quantum Computing and Machine Learning in Medical Decision-Making: A Comprehensive Review DOI Creative Commons
James C. L. Chow

Algorithms, Год журнала: 2025, Номер 18(3), С. 156 - 156

Опубликована: Март 9, 2025

Medical decision-making is increasingly integrating quantum computing (QC) and machine learning (ML) to analyze complex datasets, improve diagnostics, enable personalized treatments. While QC holds the potential accelerate optimization, drug discovery, genomic analysis as hardware capabilities advance, current implementations remain limited compared classical in many practical applications. Meanwhile, ML has already demonstrated significant success medical imaging, predictive modeling, decision support. Their convergence, particularly through (QML), presents opportunities for future advancements processing high-dimensional healthcare data improving clinical outcomes. This review examines foundational concepts, key applications, challenges of these technologies healthcare, explores their synergy solving problems, outlines directions quantum-enhanced decision-making.

Язык: Английский

Процитировано

1
Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directions DOI Creative Commons
Gundala Pallavi, Rohit Kumar

Frontiers in Computer Science, Год журнала: 2025, Номер 7

Опубликована: Фев. 18, 2025

Quantum Natural Language Processing (QNLP) is a relatively new subfield of research that extends the application principles natural language processing and quantum computing has enabled complex biological information to unprecedented levels. The present comprehensive review analyses potential QNLP in influencing many branches bioinformatics such as genomic sequence analysis, protein structure prediction, drug discovery design. To establish correct background techniques, this article going explore basics including qubits, entanglement, algorithms. next section devoted extraction material valuable knowledge related development, prediction assessment drug-target interactions. In addition, paper also explains structural by embedding, simulation, optimization for exploring sequence-structure relationship. However, study acknowledges future discussion challenges weaknesses hardware, data representation, encoding, construction enhancement This looks into real-life problems solved from industry applications, benchmarking criteria, comparison with other traditional NLP methods. Therefore, enunciates perspectives, well developmental implementation blueprint bioinformatics. plan follows: its function achieve objectives precision medicine, design, multi-omics, green chemistry.

Язык: Английский

Процитировано

0
<div> <div> <div> <p><span>Literature Review on Quantum Genomics: Applying Quantum Computing in Gene Editing </span></p> </div> </div> <div> <div> <p><br></p> </div> </div> </div> DOI

Amarachi Austin-Okoh,

Rukayya Sambo Dangaji,

Hauwa Bashir Largema

и другие.

Опубликована: Янв. 1, 2025

Процитировано

0
Quantum Computing in Healthcare -Unlocking New Frontiers in Drug Discovery and Data Management DOI

Nandhakumar Raju,

Fardin Quazi,

Prashant Kondle

и другие.

SSRN Electronic Journal, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Implementations of Quantum Computing in Medicine: Evidence from Drug Discovery, Genomics, and Medical Imaging DOI
Hengyi Liu

Highlights in Science Engineering and Technology, Год журнала: 2025, Номер 128, С. 238 - 247

Опубликована: Фев. 25, 2025

Quantum computing is becoming a revolutionary technology with vast applicability across many sectors, including medicine. As the medical science in front of more complicated problems involving drug discovery, genomics, and disease modeling, application quantum opens doors to new opportunities. This paper also discusses specific uses healthcare domain: genomics genetics, imaging, biomolecular simulations, public health. The research embraces how algorithms improve genome data, diagnosis focus on improving techniques imaging modeling. These include machine learning, applying personalized medicine, for protein folding, increased resolution techniques. all technologies, there are still numerous concerns associated scaling such tool, optimizing employed algorithms, maintaining privacy patient’s information security this data. Its relevance investigations conducted show current medicine order spearhead cooperation various fields. Over time, technologies’ potential keeps emerging consequently will revolutionize healthcare, enhance patient experience, fuel pharmaceutical development.

Язык: Английский

Процитировано

0
Quantum physics at a historic milestone: How has it shaped medical physics? DOI Creative Commons
Michael Bock,

Jürgen R Reichenbach

Zeitschrift für Medizinische Physik, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Fusion of quantum computing and explainable AI: A comprehensive survey on transformative healthcare solutions DOI
Shashank Sheshar Singh, Sumit Kumar, Rohit Ahuja

и другие.

Information Fusion, Год журнала: 2025, Номер unknown, С. 103217 - 103217

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
The Potential Role of Quantum Computing in Biomedicine and Healthcare: The Next Frontier Beyond Artificial Intelligence DOI Open Access
Tarun Kumar Suvvari,

Venkata Sai Bhargav Pradeep Konakanchi,

Ramya Sree Muppavarapu

и другие.

Cureus, Год журнала: 2025, Номер unknown

Опубликована: Апрель 22, 2025

Язык: Английский

Процитировано

0
Quantum Computing in Healthcare - Unlocking New Frontiers in Drug Discovery and Data Management DOI Creative Commons

Nandhakumar Raju,

Fardin Quazi,

Prashant Kondle

и другие.

Опубликована: Дек. 30, 2024

The advent of quantum computing stands to revolutionize the healthcare landscape, including groundbreaking solutions its biggest challenges. Drastic advancements in AI processing and analysis data, far more than classical capabilities, open possibilities for drug discovery, genomics, patient etc. Quantum speeds up search potential candidates by simulating molecular interactions at unprecedented rates, which leads accelerated graphing other subsequently saving time money on drugs. Moreover, it enables optimization data systems ensure interoperability secure, efficient management records all a pressing requirement age big data. paper explores sphere prospective applications healthcare, particularly focusing discovery management. It delves into how algorithms like variational eigensolvers (VQE) machine learning models tackle unique challenges biological managing sensitive Using specific examples case studies, demonstrates fields protein folding, personalized medicine, real-time monitoring. opportunities are vast, but also so too with bringing high costs, limited access hardware need specialized expertise. This is further compounded ethical considerations such as privacy equitable quantum-powered solutions. Navigating these challenges, however, intersection industry presents paradigm shift, one that could accelerate medical breakthroughs heightened precision efficiency fraction cost. To encourage inspire interest collaborations within this highly active field, will serve outline current state, opportunity future healthcare.

Язык: Английский

Процитировано

0