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 …

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 …

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 …

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 …

5 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 …

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 …

We developed an integrated modeling framework toward predicting the spatiotemporal abundance of antibiotics, indicator bacteria, and their corresponding antibiotic-resistant bacteria (ARB), as …

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 …

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 …