利用人工智能的力量来推进细胞疗法
Sara Capponi1,2, Kyle G Daniels3,4
1Department of Functional Genomics and Cellular Engineering, IBM Almaden Research Center, San Jose, California, USA.
Immunological reviews
|July 7, 2023
概括
人工智能 (AI) 和机器学习 (ML) 可以加速下一代细胞疗法的发展. 将实验性查与人工智能结合起来,可以构建用于设计模块化细胞治疗技术的预测模型.
科学领域:
- 生物技术是生物技术.
- 免疫治疗是一种免疫疗法.
- 合成生物学 合成生物学
背景情况:
- 细胞疗法具有强大的治疗应用,包括癌症治疗和细胞替代.
- 细胞疗法技术的日益复杂性阻碍了理性工程.
- 开发下一代细胞疗法需要先进的实验和预测建模方法.
研究的目的:
- 探索实验图书馆屏幕和人工智能 (AI) 的整合,以开发模块化细胞治疗技术.
- 展示AI和机器学习 (ML) 如何为细胞治疗设计创建预测模型.
- 为了加速新型细胞疗法的工程.
主要方法:
- 利用DNA合成的进步,创建模块化细胞疗法结构的库.
- 采用高通量选技术来评估这些结构.
- 应用AI和ML算法来分析查数据和构建预测模型.
主要成果:
- 在查数据上训练的AI和ML模型可以生成用于细胞治疗开发的预测模型.
- 这些模型可以阐明模块化细胞疗法结构的设计规则.
- 这种方法有助于创建改进的细胞疗法设计.
结论:
- 将实验性图书馆查与人工智能相结合,代表了推动细胞疗法发展的有希望的战略.
- 人工智能和机器学习可以显著加速复杂的模块化细胞疗法的工程.
- 这种综合方法是实现未来细胞疗法的全部潜力的关键.
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