Suvvari Tarun Kumar, Konakanchi Venkata Sai Bhargav Pradeep, Muppavarapu Ramya Sree, Arigapudi Nithya
General Medicine, Rangaraya Medical College, Kakinada, IND.
Research, Squad Medicine and Research (SMR), Andhra Pradesh, IND.
Cureus. 2025 Apr 22;17(4):e82759. doi: 10.7759/cureus.82759. eCollection 2025 Apr.
Quantum computing is poised to revolutionize biomedicine and healthcare, offering computational advantages that surpass classical and artificial intelligence-based approaches. Its ability to process complex biological data, simulate molecular interactions, and optimize drug discovery presents unprecedented opportunities for personalized medicine and disease modeling. Quantum algorithms can enhance genomic analysis, accelerating diagnostics and therapeutic interventions. Quantum-enhanced machine learning may refine predictive models for patient outcomes and epidemiological trends. Despite its transformative potential, challenges such as hardware limitations, error rates, and algorithm development must be addressed for practical implementation. This editorial explores the emerging role of quantum computing in biomedical research and healthcare, highlighting its capabilities, current advancements, and future implications.
量子计算有望彻底改变生物医学和医疗保健领域，提供超越传统和基于人工智能方法的计算优势。它处理复杂生物数据、模拟分子相互作用以及优化药物发现的能力为个性化医疗和疾病建模带来了前所未有的机遇。量子算法可以加强基因组分析，加速诊断和治疗干预。量子增强机器学习可能会改进针对患者预后和流行病学趋势的预测模型。尽管具有变革潜力，但要实现实际应用，还必须应对诸如硬件限制、错误率和算法开发等挑战。这篇社论探讨了量子计算在生物医学研究和医疗保健中的新兴作用，突出了其能力、当前进展以及未来影响。
