2019年4月24日 · The goal of mathematical modeling is to synthesize the data collected on AMR and design models to inform public health policy: step 1, identify key questions; step 2, extract or estimate disease parameters based on available data to build a model; step 3, assess model uncertainty/sensitivity; step 4, validate model results with an independent ...

2025年1月1日 · Antimicrobial resistance (AMR) is a major threat to global public health. The current review synthesizes to address the possible role of Artificial Intelligence and Machine Learning (AI/ML) in mitigating AMR.

Antimicrobial resistance is a global health problem that demands all possible means to control it. Mathematical modelling is a valuable tool for understanding the mechanisms of AMR development and spread, and can help us to investigate and propose novel control strategies.

In this review, we present key developments in AMR prediction using ML and suggest appropriate practices (Fig. 1), examine current limitations, and propose future directions.

2023年8月24日 · Model predictors were designed to evaluate different potential modes of AMR genotype translation into resistance phenotypes. Our results show a model that considers the presence of individual AMR genes and total number of AMR genes present from a set of genes known to confer resistance was able to accurately predict isolate resistance on ...

6 天之前 · For AMR generation, our model establishes a new state-of-the-art performance of BLEU 33.8. We present extensive ablative and qualitative analysis including strong evidence that sequence-based AMR models are robust against ordering variations of …

本文将AMR parsing作为一个sequence-to-graph 的转换任务, 为了降低解码的难度, 将图改造成树的形式, 即将Figure 1 (a) 转换称 Figure 1 (b) 的形式, 在图 (b) 中, 可以看到每个node都有一个下标index, 其中victim 有两个, 并且有相同的下标 圈3, 二, 任务处理流程. 将任务分解成两个小任务: (1) Node Prediction. 首先进行NER识别, 为了减少稀疏型, 将其进行对应的替换, 比如将识别出的任命和国家名替换成 person, country等, 针对这个NER处理的chunk 序列, 为一个chunk 识别concept …

We developed an integrated modeling framework toward predicting the spatiotemporal abundance of antibiotics, indicator bacteria, and their corresponding antibiotic-resistant bacteria (ARB), as well as assessing the potential AMR risks to the aquatic ecosystem in a tropical reservoir.

2024年7月16日 · Tackling the AMR problem from an ML perspective focuses on four different areas: predicting AMR on a patient’s level, managing antibiotic prescription, aiding clinical decision support systems...

2024年12月20日 · To address this challenge, we propose a novel layer pruning method, PSR. Specifically, we decompose the AMR model into several consecutive blocks, each containing consecutive layers with similar semantics. Then, we identify layers that need to be preserved within each block based on their contribution.