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Related papers: Antibiotic Resistance Microbiology Dataset (ARMD):…

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Antimicrobial-resistant (AMR) microbes are a growing challenge in healthcare, rendering modern medicines ineffective. AMR arises from antibiotic production and bacterial evolution, but quantifying its transmission remains difficult. With…

Machine Learning · Computer Science 2025-02-04 Qian Fu , Yuzhe Zhang , Yanfeng Shu , Ming Ding , Lina Yao , Chen Wang

Antimicrobial resistance (AMR) is a risk for patients and a burden for the healthcare system. However, AMR assays typically take several days. This study develops predictive models for AMR based on easily available clinical and…

Biological datasets amenable to applied machine learning are more available today than ever before, yet they lack adequate representation in the Data-for-Good community. Here we present a work in progress case study performing analysis on…

Machine Learning · Statistics 2016-07-06 John W. Santerre , James J. Davis , Fangfang Xia , Rick Stevens

Antimicrobial resistance (AMR) is a growing public health threat, estimated to cause over 10 million deaths per year and cost the global economy 100 trillion USD by 2050 under status quo projections. These losses would mainly result from an…

Electronic health records (EHR) is an inherently multimodal register of the patient's health status characterized by static data and multivariate time series (MTS). While MTS are a valuable tool for clinical prediction, their fusion with…

Antimicrobial resistance (AMR) poses a mounting global health crisis, requiring rapid and reliable prediction frameworks that capture its complex evolutionary dynamics. Traditional antimicrobial susceptibility testing (AST), while accurate,…

Populations and Evolution · Quantitative Biology 2025-11-18 Anshul Bagaria

The worldwide increase of antimicrobial resistance (AMR) is a serious threat to human health. To avert the spread of AMR, fast reliable diagnostics tools that facilitate optimal antibiotic stewardship are an unmet need. In this regard,…

In this research, medical information from 1200 patients across various hospitals in Iraq was collected over a period of 3 years, from February 3, 2018, to March 5, 2021. The study encompassed several infections, including urinary tract…

Other Quantitative Biology · Quantitative Biology 2023-07-28 Maitham G. Yousif

Antimicrobial resistance (AMR) is a growing global crisis projected to cause 10 million deaths per year by 2050. While the WHO Global Antimicrobial Resistance and Use Surveillance System (GLASS) provides standardized surveillance data…

Machine Learning · Computer Science 2026-02-27 Md Tanvir Hasan Turja

Antimicrobial resistance (AMR) poses a global health threat, reducing the effectiveness of antibiotics and complicating clinical decision-making. To address this challenge, we introduce abx_amr_simulator, a Python-based simulation package…

Machine Learning · Computer Science 2026-03-13 Joyce Lee , Seth Blumberg

The rise of Antimicrobial Resistance, particularly Multi-Drug Resistance (MDR), presents a critical challenge for clinical decision-making due to limited treatment options and delays in conventional susceptibility testing. This study…

Machine Learning · Computer Science 2026-03-03 Santanam Wishal , Riad Sahara

Background: Antimicrobial resistance (AMR) is a major global public health problem, contributing to an estimated 4.95 million deaths in 2019 and projected to cause up to 10 million deaths annually and 100 trillion dollars in cumulative…

Populations and Evolution · Quantitative Biology 2026-01-06 Felipe Schardong , Claudio Jose Struchiner , Luiz Max Carvalho

Antimicrobial resistance is an important public health concern that has implications in the practice of medicine worldwide. Accurately predicting resistance phenotypes from genome sequences shows great promise in promoting better use of…

The rapid emergence of antibiotic-resistant bacteria is recognized as a global healthcare crisis, undermining the efficacy of life-saving antibiotics. This crisis is driven by the improper and overuse of antibiotics, which escalates…

Machine Learning · Computer Science 2024-06-03 Simon A. Lee , Trevor Brokowski , Jeffrey N. Chiang

Can we understand and predict the evolutionary pathways by which bacteria acquire multi-drug resistance (MDR)? These questions have substantial potential impact in basic biology and in applied approaches to address the global health…

Populations and Evolution · Quantitative Biology 2024-11-05 Jessica Renz , Kazeem A. Dauda , Olav N. L. Aga , Ramon Diaz-Uriarte , Iren H. Löhr , Bjørn Blomberg , Iain G. Johnston

Antimicrobial resistance (AMR) is projected to cause up to 10 million deaths annually by 2050, underscoring the urgent need for new antibiotics. Here we present ApexAmphion, a deep-learning framework for de novo design of antibiotics that…

Skin and soft tissue infections (SSTIs) are among the most frequently observed diseases in ambulatory and hospital settings. Resistance of diverse bacterial pathogens to antibiotics is a significant cause of severe SSTIs, and treatment…

Machine Learning · Computer Science 2022-03-01 Farnaz H. Foomani , Shahzad Mirza , Sahjid Mukhida , Kannuri Sriram , Zeyun Yu , Aayush Gupta , Sandeep Gopalakrishnan

Recently, Antimicrobial peptides (AMPs) have been an area of interest in the researches, as the first line of defense against the bacteria. They are raising attention as an efficient way of fighting multidrug resistance. Discovering and…

Quantitative Methods · Quantitative Biology 2020-05-06 Neda Zarayeneh , Zahra Hanifeloo

Antimicrobial resistance (AMR) poses a significant threat to public health by increasing mortality, extending hospital stays, and increasing healthcare costs. It affects people of all ages and affects health services, veterinary medicine,…

Dynamical Systems · Mathematics 2023-06-12 Alissen Peterson , Jhoana P. Romero-Leiton , Pablo Aguirre , Kamal R. Acharya , Bouchra Nasri

Background: Microbiota have evolved to acclimate themselves to many environments. Humanity is become ever increasingly medicated and many of those medications are antibiotics. Sadly, Microbiota are adapting to medication and with each…

Genomics · Quantitative Biology 2012-09-27 Casey Richardson
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