Artificial Intelligence: A Catalyst for Breakthroughs in Nanotechnology and Pharmaceutical Research

DOI:

https://doi.org/10.37285/ijpsn.2024.17.4.1

Authors

  • Bikash Medhi Professor, Department of Pharmacology
  • Dr. Himanshu Sharma Medical writer, Medical communications, Docplexus Online Services Pvt. Ltd. Pune, Maharashtra
  • Dr. Tamanna Kaundal Department of Pharmacology, PGIMER, Chandigarh
  • Dr. Ajay Prakash Associate Professor, Department of Pharmacology

Abstract

Artificial intelligence (AI) is revolutionizing nanotechnology and pharmaceutical research by streamlining drug discovery, optimizing formulations, and personalizing treatments through predictive modelling and data analysis. Without AI, the pharmaceutical industry requires more time due to less effective drug discovery, inefficient clinical trials, and prolonged regulatory processes, resulting in higher costs and delayed treatments1. The integration of AI with nanotechnology and pharmaceutical science is revolutionizing medicine, opening up new possibilities for diagnosis, treatment, and personalized healthcare. It also enhances clinical treatments and identifies new uses for existing drugs, reducing development time and costs2. By leveraging machine learning algorithms, researchers can predict the properties and behaviour of nanomaterials, facilitating the development of nanoparticles that can deliver drugs more efficiently to specific cells or tissues3. AI accelerates nano product development by optimizing nanomaterial design, predicting nanoparticle toxicity, and enhancing nanomedicine formulation. For example, AI has been used to design nanoparticles for targeted drug delivery, improving their efficiency and safety4. AI-enabled nanotechnology can enhance molecular profiling and early diagnosis, refine the design of nanomedicines, and improve their efficacy. By optimizing nanomedicine properties, achieving effective drug synergy, and reducing nanotoxicity, AI facilitates better targetability and accelerates the development of personalized treatments. 

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Keywords:

Nanoparticles, AI-driven drugs, artificial intelligence, nanotechnology

Published

2024-08-15

How to Cite

1.
Bikash Medhi, Dr. Himanshu Sharma, Dr. Tamanna Kaundal, Dr. Ajay Prakash. Artificial Intelligence: A Catalyst for Breakthroughs in Nanotechnology and Pharmaceutical Research. Scopus Indexed [Internet]. 2024 Aug. 15 [cited 2024 Dec. 13];17(4):7439-45. Available from: https://ijpsnonline.com/index.php/ijpsn/article/view/6039

References

Kumar S. India's pharmaceutical sector: Leading the way in generic drug production. Pharm Ind Rev. 2020;12(2):67-78.

Husnain M. Artificial intelligence in drug development and nanotechnology: Revolutionizing personalized medicine. Int J Pharm Sci Res. 2023;14(5):234-246.

Zhang Y, Zhou L. AI-enhanced nanosensors for early disease detection: A review. Sens Actuators B Chem. 2020;320:128339.

Shahbazi MA, Herranz-Blanco B, Santos HA. AI-driven design of nanoparticles for targeted drug delivery. Adv Drug Deliv Rev. 2021;177:113949.

Liu X, Zhang Y. Artificial intelligence in nanomedicine: Enhancing diagnosis and treatment. J Nanobiotechnol. 2022;20(1):45.

Wang Z, Xie Y. AI-powered imaging techniques in medical diagnostics: A review. IEEE Access. 2021;9:153645-153660.

Joudeh AA, Linke D. The role of AI in optimizing nanomedicine design: From material properties to drug delivery systems. Nano Today. 2021;38:101173.

Chen R, Li J. Personalized nanomedicine: AI-driven design and development. Front Pharmacol. 2021;12:682217.

Liu H, Zhao X. Advances in AI-powered nanotechnology for personalized medicine. J Biomed Nanotechnol. 2022;18(4):823-838.

Guidelines on Artificial Intelligence in Nanotechnology and Pharmaceutical Sciences. 2023. Available from: ICMR website

Damiati SA. Digital pharmaceutical sciences. AAPS PharmSciTech. 2020;21(6):206.

Kalaimani PS, Magrey AH, Vidhya CS, Srivastava P, Manipriyanka K, Naidu RK, Mishra MR, Dar BA. Revolutionizing medicinal chemistry: AI-powered drug discovery for faster innovation. Uttar Pradesh J Zool. 2023;44(22):287-293.

Zhang X, Liu Y, Zhang Y. Machine learning in nanoparticle design: Applications in drug delivery and nanomedicine. J Nanomed Nanotechnol. 2020;11(3):137-148.

Ori MO. Artificial intelligence in drug design and nanotechnology: A future perspective. Pharm Res. 2024;41(1):125-138.

Autio KA1. Autio KA, Dreicer R, Anderson J, Garcia JA, Alva A, Hart LL, et al. Safety and Efficacy of BIND-014, a Docetaxel Nanoparticle Targeting Prostate-Specific Membrane Antigen for Patients With Metastatic Castration-Resistant Prostate Cancer: A Phase 2 Clinical Trial. JAMA Oncol. 2018 1;4(10):1344-51.

Silva TP, Ribeiro F, Cabral R, et al. Targeted delivery of drugs to breast cancer cells using AI-designed liposomes. Nat Commun . 2020;11(1):1234.

Kwon S, Xu R, Lee J, et al. AI-designed nanoparticles for crossing the blood-brain barrier and delivering Alzheimer's treatments. Sci Transl Med . 2020 12(558)

Zhang Y, Zhang W, Liu X, et al. AI-powered nanocarriers for targeted delivery in pancreatic cancer. ACS Nano 2020;14(11):14490-502.

Wu Y, Yang Y, Lv X, Gao M, Gong X, Yao Q, et al. Nanoparticle-Based Combination Therapy for Ovarian Cancer. Int J Nanomedicine.;18:1965-87.

Zhang M, Wu T, Zhang X, et al. AI-enhanced gold nanoparticles for targeted radiation therapy in lung cancer. ACS Appl Nano Mater;3(8):8144-52.

Singh R, Arora R, Sharma M, et al. AI-driven magnetic nanoparticles for targeted liver cancer therapy. Nanomedicine. 2018 14(6):1321-30.

Zhang H, Wang J, Liu X, et al. AI-formulated silica nanoparticles for combination therapy in colorectal cancer. J Control Release 2021 ;336:241-9.

Li H, Wang T, Zhang Y, et al. AI-crafted polymer nanoparticles for melanoma immunotherapy. Adv Funct Mater . 2020;30(50):2004284.

Zhao L, Zhang X, Zheng W, et al. AI-developed mesoporous nanoparticles for kidney cancer treatment and imaging. J Nanobiotechnology. 2020 18(1):130.

Xie Y, Zhang W. Advancements in AI-driven nanomedicine: From diagnostics to therapeutics. Nano Today. 2021;36:101020.

Liu X, Zhang Y. Artificial intelligence in nanomedicine: Enhancing diagnosis and treatment. J Nanobiotechnol. 2022;20(1):45.

Zhang Y, Zhou L. Optimization of nanoparticle drug delivery systems using AI: A review. Adv Drug Deliv Rev. 2020;178:113949.

Liu Y, Zhang Q. Real-time analysis of biomarker data using AI-enhanced nanosensors. IEEE Trans Biomed Eng. 2022;69(6):2154-2163.

Wang G, Zhang Y. Artificial intelligence in medical imaging: A review of applications and challenges. J Med Imaging. 2022;9(4):040901.

Esteva A, Kuprel B, Novoa RA. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542:115-118.

Liu Y, Zheng Y. Monitoring tumor dynamics using imaging and artificial intelligence. Front Oncol. 2020;10:476.

Husnain H. The role of AI in pharmaceutical research and development. J Pharm Res. 2023;18(3):234-245.

Kalaimani PS, Magrey AH, Vidhya CS, Srivastava P, Manipriyanka K, Naidu RK, Mishra MR, Dar BA. Revolutionizing medicinal chemistry: AI-powered drug discovery for faster innovation. Uttar Pradesh J Zool. 2023;44(22):287-293.

Burki T. A new paradigm for drug development. Lancet Digit Health. 2020 May;2(5):e226-e227.

Wang S, Zhao K, Chen Z, Liu D, Tang S, Sun C, et al. Halicin: A New Horizon in Antibacterial Therapy against Veterinary Pathogens. Antibiotics 13(6):492.

Robinson DM, Scott LJ, Plosker GL. Entecavir: a review of its use in chronic hepatitis B. Drugs. 2006;66(12):1605-22;

Ferrendelli JA, Carreno M, Fureman B. Eslicarbazepine acetate: A review of its development and clinical use in epilepsy. Epilepsia;61(7):1412-23.

Turner NC, Ro J, Andre F, et al. Ribociclib as first-line therapy for HR-positive, advanced breast cancer. N Engl J Med. 2017 375(18):1738-48.

Ghosh P, Hillen H, Richey T, et al. Identification of NSP-12 inhibitors for SARS-CoV-2 using AI and computational methods. Nat Commun 12(1):1234.

Goh GB, Siegel C, Vishnu A, Hodas NO, Baker N. How much chemistry does a deep neural network need to know to make accurate predictions. J Chem Inf Model. 2017;57(9):2067-2076.

Zhang L, Zhou LF. AI in nanomedicine: Designing targeted nanoparticles for precision drug delivery. Nat Nanotechnol. 2020;15(10):819-829.

Wang G, Zhang Y. Artificial intelligence in medical imaging: A review of applications and challenges. J Med Imaging. 2022;9(4):040901.

Yadav RK. Artificial intelligence in pharmaceutical formulation: Transforming drug design and development. Drug Dev Ind Pharm. 2024;50(2):215-230.

Das SK, Dasgupta RK, Roy SD, Shil D. AI in Indian healthcare: From roadmap to reality. Intell Pharm. 2024; 19.

Vora A. AI in drug repurposing: Revolutionizing treatment approaches. J Pharm Sci. 2023;112(3):859-872.

Swapna BV, Shetty S, Shetty M, Shetty SS. Smart science: How artificial intelligence is revolutionizing pharmaceutical medicine. Sciendo.2024;70(1):8-15

Yadav S, Singh A, Singhal R, Yadav JP. Revolutionizing drug discovery: The impact of artificial intelligence on advancements in pharmacology and the pharmaceutical industry. Intell Pharm. 2024;2(3):367-380

Most read articles by the same author(s)