Article ; Online: An Extensive Review on Lung Cancer Therapeutics Using Machine Learning Techniques: State-of-the-art and Perspectives.
2024 , Page(s) 1–15
Abstract: Lung cancer starts when lung cells grow uncontrollably, forming tumours that make breathing difficult. There are more than 100 types of human cancer, and in most cases, it is untreatable due to the unavailability of medico-infrastructure and facilities, ... ...
| Abstract | Lung cancer starts when lung cells grow uncontrollably, forming tumours that make breathing difficult. There are more than 100 types of human cancer, and in most cases, it is untreatable due to the unavailability of medico-infrastructure and facilities, even though the USFDA approved 57 anticancer drugs in 2020 alone. WHO reported more than 10 million cancer-related deaths yearly, and lung cancer alone accounts for more than 1.80 million deaths and a few studies suggest lung cancer incidence and deaths may surpass 3.8 million and 3.2 million by 2050, which demands rapid drug designing and repurposing and the role of artificial intelligence (AI) found to be the best solutions. AI in lung cancer therapeutics has emerged as a significant area of research in recent years. This state-of-the-art review aims to explore the various applications of AI in lung cancer treatment and its potential to revolutionise patient care, and predictive models can analyse large datasets, including clinical data, genetic information, and treatment outcomes, for novel drug design and to generate personalised treatment recommendations, having the potential to optimise therapeutic strategies, enhance treatment efficacy, and minimise adverse effects. |
|---|---|
| Language | English |
| Publishing date | 2024-04-25 |
| Publishing country | England |
| Document type | Journal Article ; Review |
| ZDB-ID | 1187110-6 |
| ISSN | 1029-2330 ; 1061-186X |
| ISSN (online) | 1029-2330 |
| ISSN | 1061-186X |
| DOI | 10.1080/1061186X.2024.2347358 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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