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INTERNATIONAL CONGRESS OF

PharmacoGenetics

• Harnessing AI for Nanomedicine: Innovations in Drug Delivery and Therapeutics in Cancer Management

• Helia Sepahvand,¹ Bita Fazel,^2,* Melika Motehayer,³ Mona Meschi,⁴ Helia Khatibi,⁵ Hesameddin Akbarein,⁶
  1. DVM Student, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran.
  2. Graduated from the Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
  3. DVM Student, Faculty of Veterinary Medicine, University of Semnan, Semnan, Iran
  4. DVM Student, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran.
  5. Faculty of Fundamental Sciences (Biology), Islamic Azad University, Science and Research Branch, Tehran, Iran
  6. Division of Epidemiology & Zoonoses, Department of Food Hygiene & Quality Control, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
  
  
  
• Introduction: Many researchers are interested in nanomedicine because it can send drugs directly to tumors while minimizing lousy side effects. Nanotechnology has come a long way in the last thirty years, which has sparked new interest in cancer care. Large amounts of new information have been learned about cancer nanomedicine. It has been possible to make lipid-based, polymeric, and inorganic nanoparticles that can carry therapeutic nucleic acids, chemotherapeutic drugs, or immunotherapeutic agents to tumors. Nanotechnology and Artificial Intelligence (AI) are used to make better, more focused, and more personalized medicines for various illnesses, such as cancer and non-infectious and infectious diseases. Thanks to progress in nanotechnology, it is now easy to make different kinds of nanocarriers. Anticancer drugs work better in cancerous tissue, cells, or structures. This keeps the drugs from hurting other parts of the body. AI can make nanopharmaceuticals, which include jobs like designing and finding new materials, improving the synthesis process, characterizing them, checking their quality, and creating personalized medicines. The focus of this study is on how AI has changed nanomedicine, especially when it comes to cancer treatment and drug delivery. The aim is to improve patient results and significantly change how healthcare is provided today.
• Methods: A thorough study of the scientific background of using AI for nanomedicine has been performed, focusing on new ways of delivering medications and managing cancer through therapy. In this review article, we searched Google Scholar, PubMed, and Scopus using keywords that are often linked to each other, such as "artificial intelligence," "nanomedicine," "drug delivery," "therapeutics," and "cancer management." From the different studies already done in this area, we chose and evaluated papers mainly about designing nanoparticles, delivering drugs to specific regions, and customizing cancer treatment.
• Results: Nanomedicine, which uses nanotechnology in health care, has gotten a lot of interest because it could help doctors deliver medicines more precisely, especially in cancer treatment. Different nanoparticles, like liposomes, dendrimers, and gold nanoparticles, have been used to carry chemotherapy drugs straight to tumors. However, problems with nanoparticles' stability, toxicity, and distribution still make it hard for nanomedicine to be widely used in cancer treatment. AI plays a more significant role in improving the design of nanoparticles, predicting how medicines will combine, and making nanomedicine therapies work better. Modern Machine Learning (ML) algorithms can look at vast amounts of data to find patterns and expect the best nanoparticle designs, considering how well medications dissolve and release and are poisonous. Because of this, it is possible to make drug delivery systems tailored to each patient's needs. This makes the treatment work better and decreases the harmful effects. It is also possible for AI to make models of how nanoparticles interact with cancer cells. These models can help doctors determine the best ways to treat different types of tumors. Nanomedicine, which AI enhances, has a lot of promise for creating and using new ways to treat cancer. Making smart nanoparticles that react to the tumor's environment is an exciting study area. Scientists could make these nanoparticles release their medicine when certain conditions are met. This would ensure the medicine reaches the tumor at the right time and place. AI can also improve combination therapies by examining substantial drug interactions and patient outcomes databases. This helps make multi-modal treatment plans that attack cancer from different directions.
• Conclusion: Using AI and nanomedicine together is a revolutionary way to treat cancer. It creates new opportunities for targeted therapies, personalized drug delivery, and early detection. AI-powered nanomedicine could make a big difference in how well patients do and change the future of cancer treatment, according to more studies being done in this area. But, even though it has a lot of potential, combining AI and nanomedicine in cancer care is still very hard. Some problems that need to be fixed are the difficulty of AI algorithms, the need for big datasets to train these systems, and worries about data privacy and security. Also, we still need to fully understand the long-term effects of treatments based on nanoparticles, which is why more research is required. AI and nanotechnology will likely make cancer treatments more personalized and accurate. With the creation of more competent AI models and new nanoparticle designs, AI-enhanced nanomedicine has the vast potential to change how cancer is treated completely.
• Keywords: Artificial Intelligence, Nanomedicine, Drug Delivery, Therapeutics, Cancer Management