在精密精神病学时代的机器学习和药物基因组学
Antonio Del Casale1, Giuseppe Sarli2, Paride Bargagna2
1Department of Dynamic and Clinical Psychology and Health Studies, Faculty of Medicine and Psychology, Sapienza University; Unit of Psychiatry, 'Sant'Andrea' University Hospital, Rome, Italy.
Current neuropharmacology
|August 10, 2023
概括
机器学习 (ML) 和药物基因组学正在通过预测药物反应和副作用来彻底改变精神病学. 将遗传数据与ML集成,可以增强个性化治疗策略,从而改善患者的治疗结果.
科学领域:
- 生物医学科学 生物医学科学
- 计算精神病学是一种计算精神病学.
- 基因组学就是基因组学.
背景情况:
- 大数据正在改变传统医学和生物医学科学.
- 机器学习 (ML) 对于诊断,预后和决策至关重要.
- 个性化治疗和药物基因组学正在临床实践中出现.
结论:
- ML和药物基因组学显示出改善个性化精神病治疗的巨大潜力.
- 虽然这些技术尚未成为标准实践,但它们将在未来的精神病学中发挥关键作用.
- 将ML与药物基因组学相结合,为优化患者护理和治疗疗效提供了一个有前途的途径.
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