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Rahman MA, Yan F, Li R, Wang Y, Huang L, Han R, Jiang Y. Deep Learning Insights into the Dynamic Effects of Photodynamic Therapy on Cancer Cells. Pharmaceutics 2024; 16:673. [PMID: 38794335 PMCID: PMC11125085 DOI: 10.3390/pharmaceutics16050673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 05/10/2024] [Accepted: 05/15/2024] [Indexed: 05/26/2024] Open
Abstract
Photodynamic therapy (PDT) shows promise in tumor treatment, particularly when combined with nanotechnology. This study examines the impact of deep learning, particularly the Cellpose algorithm, on the comprehension of cancer cell responses to PDT. The Cellpose algorithm enables robust morphological analysis of cancer cells, while logistic growth modelling predicts cellular behavior post-PDT. Rigorous model validation ensures the accuracy of the findings. Cellpose demonstrates significant morphological changes after PDT, affecting cellular proliferation and survival. The reliability of the findings is confirmed by model validation. This deep learning tool enhances our understanding of cancer cell dynamics after PDT. Advanced analytical techniques, such as morphological analysis and growth modeling, provide insights into the effects of PDT on hepatocellular carcinoma (HCC) cells, which could potentially improve cancer treatment efficacy. In summary, the research examines the role of deep learning in optimizing PDT parameters to personalize oncology treatment and improve efficacy.
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Affiliation(s)
- Md. Atiqur Rahman
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; (M.A.R.); (F.Y.); (R.L.); (Y.W.); (L.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Feihong Yan
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; (M.A.R.); (F.Y.); (R.L.); (Y.W.); (L.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ruiyuan Li
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; (M.A.R.); (F.Y.); (R.L.); (Y.W.); (L.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yu Wang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; (M.A.R.); (F.Y.); (R.L.); (Y.W.); (L.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lu Huang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; (M.A.R.); (F.Y.); (R.L.); (Y.W.); (L.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Rongcheng Han
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; (M.A.R.); (F.Y.); (R.L.); (Y.W.); (L.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuqiang Jiang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; (M.A.R.); (F.Y.); (R.L.); (Y.W.); (L.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China
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Carroll JD. Photobiomodulation Literature Watch October 2022. Photobiomodul Photomed Laser Surg 2023; 41:140-143. [PMID: 36927051 DOI: 10.1089/photob.2023.0026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
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