Hassan, Jasmin and Saeed, Safiya Mohammed and Deka, Lipika and Uddin, Md Jasim and Das, Diganta B. (2024) Applications of Machine Learning (ML) and Mathematical Modeling (MM) in Healthcare with Special Focus on Cancer Prognosis and Anticancer Therapy: Current Status and Challenges. Pharmaceutics, 16 (2). p. 260. ISSN 1999-4923, DOI https://doi.org/10.3390/pharmaceutics16020260.
Full text not available from this repository.Abstract
The use of data-driven high-throughput analytical techniques, which has given rise to computational oncology, is undisputed. The widespread use of machine learning (ML) and mathematical modeling (MM)-based techniques is widely acknowledged. These two approaches have fueled the advancement in cancer research and eventually led to the uptake of telemedicine in cancer care. For diagnostic, prognostic, and treatment purposes concerning different types of cancer research, vast databases of varied information with manifold dimensions are required, and indeed, all this information can only be managed by an automated system developed utilizing ML and MM. In addition, MM is being used to probe the relationship between the pharmacokinetics and pharmacodynamics (PK/PD interactions) of anti-cancer substances to improve cancer treatment, and also to refine the quality of existing treatment models by being incorporated at all steps of research and development related to cancer and in routine patient care. This review will serve as a consolidation of the advancement and benefits of ML and MM techniques with a special focus on the area of cancer prognosis and anticancer therapy, leading to the identification of challenges (data quantity, ethical consideration, and data privacy) which are yet to be fully addressed in current studies.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | machine learning; mathematical modeling; cancer; computational oncology; tumor; telemedicine; carcinoma |
| Subjects: | R Medicine > RM Therapeutics. Pharmacology R Medicine > RS Pharmacy and materia medica |
| Divisions: | Faculty of Pharmacy > Department of Pharmaceutical Technology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 08 Nov 2024 06:58 |
| Last Modified: | 08 Nov 2024 06:58 |
| URI: | http://eprints.um.edu.my/id/eprint/45681 |
Actions (login required)
 |
View Item |
