通过人工智能进行神经递质调制的全面审查:个性化神经生物化学的新前沿
Jaleh Bagheri Hamzyan Olia1, Arasu Raman2, Chou-Yi Hsu3
1Department of Basic Medical Sciences, Khoy University of Medical Sciences, Khoy, Iran.
Computers in biology and medicine
|March 15, 2025
概括
人工智能 (AI) 正在通过实现个性化神经递质调制来改变神经药理学. 人工智能加速了药物发现,并增强了神经和精神疾病的神经调节疗法.
科学领域:
- 神经科学是一个神经科学.
- 药理学 药理学是指药理学的学科.
- 计算生物学 计算生物学
背景情况:
- 人工智能 (AI) 越来越多地融入神经药理学和药物开发.
- 人工智能使神经递质系统的个性化调制成为可能.
- 目前的应用范围包括预测建模,神经调节和精确药物设计.
研究的目的:
- 审查人工智能在神经药理学和神经递质调节中的作用.
- 突出AI在药物发现和治疗优化中的应用.
- 应对挑战,并为公平的人工智能实施提出解决方案.
主要方法:
- 审查人工智能应用程序,包括机器学习,深度学习和计算建模.
- 对人工智能驱动的药物设计进行分析 (例如,GABA抑制剂的AlphaFold).
- 在药物重新定位 (例如,仁慈的AI,IBM Watson) 和治疗优化 (例如,DBS,TMS) 中对AI的检查.
主要成果:
- 人工智能有助于实时跟踪和增强生物过程.
- 人工智能已经确定了治疗,焦虑,神经退行性疾病和抑郁症的新疗法.
- 人工智能优化的神经调节 (DBS,TMS) 改善了帕金森病和严重抑郁症的治疗结果.
结论:
- 人工智能在神经药理学中的整合有望在患者特异性治疗策略方面取得革命性的进展.
- 解决算法偏见,伦理问题和临床验证对于负责任的AI部署至关重要.
- 未来的方向包括将人工智能与光遗传学,CRISPR和神经假体结合起来,以获得精致的神经治疗方法.
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