Articles
Published 16-04-2024
Keywords
- Precision Medicine,
- Personalized Cancer Treatments,
- Cancer Genomics,
- Data Integration,
- Patient Outcomes
How to Cite
[1]
Dr. Eva Novak, “AI-Driven Precision Medicine for Personalized Cancer Treatments”, Hong Kong J. of AI and Med., vol. 4, no. 1, pp. 1–7, Apr. 2024, Accessed: Nov. 23, 2024. [Online]. Available: https://hongkongscipub.com/index.php/hkjaim/article/view/2
Abstract
Precision medicine aims to deliver personalized healthcare by considering individual variability in genes, environment, and lifestyle for each person. In the context of cancer treatment, precision medicine holds great promise for improving outcomes and reducing side effects. Artificial intelligence (AI) has emerged as a powerful tool in this field, enabling the analysis of vast amounts of data to identify optimal treatments for individual patients. This study explores the application of AI in precision medicine for personalized cancer treatments, highlighting its potential, challenges, and future directions.
Downloads
Download data is not yet available.
References
- Pillai, Aravind Sasidharan. "Advancements in Natural Language Processing for Automotive Virtual Assistants Enhancing User Experience and Safety." Journal of Computational Intelligence and Robotics 3.1 (2023): 27-36.
- Venigandla, Kamala, and Venkata Manoj Tatikonda. "Optimizing Clinical Trial Data Management through RPA: A Strategy for Accelerating Medical Research."
- Nalluri, Mounika, et al. "AUTONOMOUS HEALTH MONITORING AND ASSISTANCE SYSTEMS USING IOT." Pakistan Heart Journal 57.1 (2024): 52-60.
- Khan, Murad, et al. "AI-POWERED HEALTHCARE REVOLUTION: AN EXTENSIVE EXAMINATION OF INNOVATIVE METHODS IN CANCER TREATMENT." BULLET: Jurnal Multidisiplin Ilmu 3.1 (2024): 87-98.
- Raparthi, Mohan, Sarath Babu Dodda, and SriHari Maruthi. "Examining the use of Artificial Intelligence to Enhance Security Measures in Computer Hardware, including the Detection of Hardware-based Vulnerabilities and Attacks." European Economic Letters (EEL) 10.1 (2020).
- Pargaonkar, Shravan. "Future Directions and Concluding Remarks Navigating the Horizon of Software Quality Engineering." Journal of Science & Technology 1.1 (2020): 67-81.