Soltani Madjid, Moradi Kashkooli Farshad, Souri Mohammad, Zare Harofte Samaneh, Harati Tina, Khadem Atefeh, Haeri Pour Mohammad, Raahemifar Kaamran
Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, Iran.
Department of Electrical and Computer Engineering, Faculty of Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
Cancers (Basel). 2021 May 19;13(10):2481. doi: 10.3390/cancers13102481.
Application of drugs in high doses has been required due to the limitations of no specificity, short circulation half-lives, as well as low bioavailability and solubility. Higher toxicity is the result of high dosage administration of drug molecules that increase the side effects of the drugs. Recently, nanomedicine, that is the utilization of nanotechnology in healthcare with clinical applications, has made many advancements in the areas of cancer diagnosis and therapy. To overcome the challenge of patient-specificity as well as time- and dose-dependency of drug administration, artificial intelligence (AI) can be significantly beneficial for optimization of nanomedicine and combinatorial nanotherapy. AI has become a tool for researchers to manage complicated and big data, ranging from achieving complementary results to routine statistical analyses. AI enhances the prediction precision of treatment impact in cancer patients and specify estimation outcomes. Application of AI in nanotechnology leads to a new field of study, , nanoinformatics. Besides, AI can be coupled with nanorobots, as an emerging technology, to develop targeted drug delivery systems. Furthermore, by the advancements in the nanomedicine field, AI-based combination therapy can facilitate the understanding of diagnosis and therapy of the cancer patients. The main objectives of this review are to discuss the current developments, possibilities, and future visions in naoinformatics, for providing more effective treatment for cancer patients.
由于缺乏特异性、循环半衰期短以及生物利用度和溶解度低等局限性，需要高剂量应用药物。药物分子高剂量给药会导致更高的毒性，增加药物的副作用。近年来，纳米医学，即在医疗保健中利用纳米技术并应用于临床，在癌症诊断和治疗领域取得了许多进展。为了克服患者特异性以及药物给药的时间和剂量依赖性挑战，人工智能（AI）对于优化纳米医学和组合纳米疗法可能具有显著益处。人工智能已成为研究人员管理复杂大数据的工具，从获得互补结果到进行常规统计分析。人工智能提高了癌症患者治疗效果的预测精度并明确估计结果。人工智能在纳米技术中的应用催生了一个新的研究领域，即纳米信息学。此外，人工智能可以与作为新兴技术的纳米机器人相结合，开发靶向给药系统。此外，随着纳米医学领域的进展，基于人工智能的联合疗法有助于理解癌症患者的诊断和治疗。本综述的主要目的是讨论纳米信息学的当前发展、可能性和未来愿景，以便为癌症患者提供更有效的治疗。
