人工智能驱动的生物信息学进步:改变医疗保健和科学
Sunil Namdev Thitame1, Ashwini Ashok Aher2
1Dean, School of Allied Health Sciences, Datta Meghe Institute of Higher Education and Research, Wardha, Maharashtra, India.
Journal of pharmacy & bioallied sciences
|June 13, 2025
概括
人工智能 (AI) 正在通过增强基因组学,药物发现和诊断的数据分析来彻底改变生物信息学. 虽然数据质量和可解释性等挑战仍然存在,但人工智能有望改变精准医学和医疗保健.
科学领域:
- 生物信息学是一种生物信息学.
- 人工智能的人工智能
- 基因组学就是基因组学.
- 药物发现 药物发现 药物发现
背景情况:
- 生物信息学严重依赖人工智能 (AI) 来处理大型生物数据集.
- 人工智能,包括机器学习和深度学习,改善了生物信息学中的数据解释.
- 人工智能集成正在重塑医疗实践和科学研究.
研究的目的:
- 审查基于人工智能的基本生物信息学方法.
- 在基因组分析,蛋白质结构预测,药物发现和诊断中评估AI应用.
- 突出人工智能在生物信息学中的变革潜力.
主要方法:
- 审查人工智能模型及其在生物信息学中的应用.
- 分析AI在基因组数据解释和突变识别中的作用.
- 在蛋白质结构预测和药物开发中对AI的评估.
主要成果:
- 人工智能模型擅长识别基因突变和预测蛋白质结构.
- 人工智能加速了制药研究,提高了诊断的准确性.
- 人工智能有助于精准医学和多组学分析的进步.
结论:
- 人工智能驱动的生物信息学是一个快速发展的领域,具有巨大的潜力.
- 解决数据质量,模型解释性和道德问题对于人工智能采用至关重要.
- 人工智能将继续改变生物信息学,解决复杂的生物和医疗保健挑战.
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