用多个大型语言模型模拟科学推理:对阿尔茨海默病组合疗法的应用
Qidi Xu1, Xiaozhong Liu2, Xiaoqian Jiang1
1McWilliams School of Biomedical Informatics, UTHealth Houston, Houston, TX, 77030.
medRxiv : the preprint server for health sciences
|December 23, 2024
概括
本研究介绍了一种使用大型语言模型 (LLM) 预测有效组合疗法的AI框架. 人工智能方法显著优于传统方法,为生物推理中的假设生成提供了一种新的解决方案.
科学领域:
- 人工智能在医学中的应用
- 计算生物学 计算生物学
- 药物发现 药物发现 药物发现
背景情况:
- 基于数据的结合疗法预测通常是不可行的,因为实验数据有限.
- 传统的基于知识的方法在预测复杂的治疗相互作用方面存在局限性.
研究的目的:
- 开发一个人工智能驱动的框架,利用大型语言模型 (LLM) 来模拟科学推理和同行评审.
- 在数据驱动预测不可行的场景中预测有效的组合疗法.
主要方法:
- 该框架整合了LLM以模仿科学推理和同行评审流程.
- 它结合了少量学习,外部知识,自我一致性检查和内部审查机制.
- 该方法侧重于基于知识的假设生成.
主要成果:
- 拟议的框架实现了0.74的预测准确度,超过了传统的基于知识的预测 (0.52).
- 使用私人实验数据进行的外部验证显示,高准确度为0.82.2.
- 废弃性研究证实了高质量的例子,外部知识和自我一致性的关键作用.
结论:
- 人工智能框架提供了一种自动化和有效的方法,用于在生物推理中生成高质量的假设.
- 当数据稀缺时,这种方法为组合疗法预测提供了可行的替代方案.
- 开发的框架有可能加速药物发现和治疗开发.
更多相关视频
相关概念视频
Alzheimer's Disease: Treatment
162
Alzheimer's Disease (AD), a neurodegenerative disorder, is pathologically identified by amyloid plaques and neurofibrillary tangles composed of tau protein. AD pharmacotherapy aims to manage cognitive symptoms, delay disease progression, and treat behavioral symptoms. The treatment is primarily symptomatic and palliative, with no definitive disease-modifying therapy available. Cholinesterase inhibitors, including donepezil (Aricept), rivastigmine (Exelon), and galantamine (Razadyne), are...
162
Alzheimer's Disease: Overview
444
Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
444
Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists
95
Cognitive enhancers, also known as "smart drugs," are substances used to enhance memory, mental alertness, and concentration. These can be natural or synthetic and improve cognition in conditions like Alzheimer's disease (AD) and other neurodegenerative diseases. Some common examples include caffeine, amphetamines, methylphenidate, modafinil, arecoline, donepezil, vortioxetine, and piracetam. These enhancers work on the principle of synaptic plasticity and altered circuit function.
95
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
40
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
40


