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AI 驱动的 CRISPR-Cas9 基因组编辑增强 CAR-T 细胞治疗的变革性潜力

英文原题:The transformative potential of AI-driven CRISPR-Cas9 genome editing to enhance CAR T-cell therapy.

查看英文原题

The transformative potential of AI-driven CRISPR-Cas9 genome editing to enhance CAR T-cell therapy.

PubMed 2024/09/10(内容时间) Comput Biol Med

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中文摘要

这篇叙述性综述探讨了将人工智能(AI)与CRISPR-Cas9基因组编辑相结合以推进CAR-T 细胞疗法的广阔前景。AI算法在识别遗传靶点方面具有无与伦比的精确性,这对于增强CAR-T 细胞疗法的疗效至关重要。这种精确性对于消除削弱疗法效果的负性调控元件至关重要。此外,AI简化了生产流程,显著降低了成本并提高了可及性,从而鼓励了进一步的研发投入。AI整合的一个关键优势是提高了安全性;通过预测和最小化脱靶效应,AI增强了CRISPR-Cas9编辑的特异性,有助于实现更安全的CAR-T 细胞疗法。这一进步对于患者安全和更广泛的临床采用至关重要。AI与CRISPR-Cas9的融合具有变革性潜力,有望彻底改变个性化免疫治疗。这些创新可以将CAR-T 细胞疗法的应用从血液系统恶性肿瘤扩展到各种实体瘤和其他非血液系统疾病,开创癌症治疗的新时代,显著改善患者预后。

展开英文摘要原文

This narrative review examines the promising potential of integrating artificial intelligence (AI) with CRISPR-Cas9 genome editing to advance CAR T-cell therapy. AI algorithms offer unparalleled precision in identifying genetic targets, essential for enhancing the therapeutic efficacy of CAR T-cell treatments. This precision is critical for eliminating negative regulatory elements that undermine therapy effectiveness.

Additionally, AI streamlines the manufacturing process, significantly reducing costs and increasing accessibility, thereby encouraging further research and development investment. A key benefit of AI integration is improved safety; by predicting and minimizing off-target effects, AI enhances the specificity of CRISPR-Cas9 edits, contributing to safer CAR T-cell therapy.

This advancement is crucial for patient safety and broader clinical adoption. The convergence of AI and CRISPR-Cas9 has transformative potential, poised to revolutionize personalized immunotherapy. These innovations could expand the application of CAR T-cell therapy beyond hematologic malignancies to various solid tumors and other non-hematologic conditions, heralding a new era in cancer treatment that substantially improves patient outcomes.

论文信息

作者
Boretti A
单位
Independent Scientist, Wellington, 6037, New Zealand. Electronic address: a.a.boretti@gmail.com.
文献类型
综述
期刊
Computers in biology and medicine2024 Nov
原文标识
PubMed 39260044 · DOI 10.1016/j.compbiomed.2024.109137