Simulating therapeutic combinations for lung cancer patients with heterogeneous genetic predisposition

L. Wu; Ruocheng Yu; Minghui Yao; Md. Matiur Rahaman; Zhaoyuan Fang

doi:10.1142/s0219720025500179

September 26, 2025Journal of Bioinformatics and Computational Biology

Simulating therapeutic combinations for lung cancer patients with heterogeneous genetic predisposition

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Key Points

Simulation of therapeutic combinations shows promise for enhancing treatment in lung cancer.
Key evidence suggests that personalized approaches may improve outcomes for patients with diverse genetic backgrounds.
Observational analysis of genetic factors highlights the variability in treatment response for lung cancer patients.
The findings indicate the need for further research in personalized cancer therapy strategies.

Implication

Simulation explores therapeutic combinations for lung cancer patients, indicating potential for tailored treatments.

Abstract

Journal of Bioinformatics and Computational BiologyAccepted Papers No AccessSimulating therapeutic combinations for lung cancer patients with heterogeneous genetic predispositionLanqi Wu, Ruocheng Yu, Minghui Yao, Md. Matiur Rahaman, and Zhaoyuan FangLanqi Wu, Ruocheng Yu Search for more papers by this author , Minghui Yao Search for more papers by this author , Md. Matiur Rahaman Search for more papers by this author , and Zhaoyuan Fanghttps://orcid.org/0000-0002-0393-2052 Search for more papers by this author https://doi.org/10.1142/S0219720025500179Cited by:0 (Source: Crossref) PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail FiguresReferencesRelatedDetails Recommended Accepted Papers Metrics History Received 25 June 2025 Accepted 22 September 2025 PDF download

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Cite This Study

Wu et al. (2025) studied this question.

synapsesocial.com/papers/68d90a0a41e1c178a14f65ea https://doi.org/10.1142/s0219720025500179

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Simulating therapeutic combinations for lung cancer patients with heterogeneous genetic predisposition

Key Points

Implication

Abstract

Discussion

Cite This Study

Simulating therapeutic combinations for lung cancer patients with heterogeneous genetic predisposition

Key Points

Implication

Abstract

Discussion

Cite This Study

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