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Application of artificial intelligence and machine learning in lung transplantation: a comprehensive review

Front Digit Health. 2025 May 1;7:1583490. doi: 10.3389/fdgth.2025.1583490. eCollection 2025.

ABSTRACT

Lung transplantation (LTx) is an effective method for treating end-stage lung disease. The management of lung transplant recipients is a complex, multi-stage process that involves preoperative, intraoperative, and postoperative phases, integrating multidimensional data such as demographics, clinical data, pathology, imaging, and omics. Artificial intelligence (AI) and machine learning (ML) excel in handling such complex data and contribute to preoperative assessment and postoperative management of LTx, including the optimization of organ allocation, assessment of donor suitability, prediction of patient and graft survival, evaluation of quality of life, and early identification of complications, thereby enhancing the personalization of clinical decision-making. However, these technologies face numerous challenges in real-world clinical applications, such as the quality and reliability of datasets, model interpretability, physicians' trust in the technology, and legal and ethical issues. These problems require further research and resolution so that AI and ML can more effectively enhance the success rate of LTx and improve patients' quality of life.

PMID:40376618 | PMC:PMC12078212 | DOI:10.3389/fdgth.2025.1583490

WNT2–SOX4 positive feedback loop promotes chemoresistance and tumorigenesis by inducing stem-cell like properties in gastric cancer

Oncogene, Published online: 26 August 2023; doi:10.1038/s41388-023-02816-1

WNT2–SOX4 positive feedback loop promotes chemoresistance and tumorigenesis by inducing stem-cell like properties in gastric cancer

Histone demethylase KDM5D upregulation drives sex differences in colon cancer

Nature, Published online: 21 June 2023; doi:10.1038/s41586-023-06254-7

A murine colorectal cancer (CRC) model shows that mutant KRAS-STAT4-mediated upregulation of Y chromosome KDM5D contributes to the sex differences in KRAS-mutant CRC, providing an actionable therapeutic strategy for metastasis risk reduction for men afflicted with KRAS-mutant CRC.
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