English
Related papers

Related papers: Assessing the Impact of Mutations and Horizontal G…

200 papers

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 (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…

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) 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

Antimicrobial resistance is an emerging global health crisis that is undermining advances in modern medicine and, if unmitigated, threatens to kill 10 million people per year worldwide by 2050. Research over the last decade has demonstrated…

Quantitative Methods · Quantitative Biology 2020-09-24 K. Farquhar , H. Flohr , D. A. Charlebois

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 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…

Antimicrobial resistance to drugs (AMR), a global threat to human and animal health, is often regarded as resulting from cooperative behaviour. Moreover, microbes generally evolve in volatile environments that, together with demographic…

Populations and Evolution · Quantitative Biology 2024-06-18 Lluís Hernández-Navarro , Matthew Asker , Mauro Mobilia

Antibiotic resistance is a growing public health problem. To gain a fundamental understanding of resistance evolution, a combination of systematic experimental and theoretical approaches is required. Evolution experiments combined with…

Populations and Evolution · Quantitative Biology 2021-05-24 Gabriela Petrungaro , Yuval Mulla , Tobias Bollenbach

Antimicrobial resistance (AMR) is a global threat and combating its spread is of paramount importance. AMR often results from a cooperative behaviour with shared drug protection. Microbial communities generally evolve in volatile, spatially…

Populations and Evolution · Quantitative Biology 2026-03-25 Lluís Hernández-Navarro , Kenneth Distefano , Uwe C. Täuber , Mauro Mobilia

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

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

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

The large reservoir of antibiotic resistant bacteria in raw and treated water supplies is a matter of public health concern. Currently, the National Antimicrobial Resistance Monitoring Systems, a collaborative effort of the Centers for…

Populations and Evolution · Quantitative Biology 2010-07-09 Bonita Lawrence , Anna Mummert , Charles Somerville

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

Antimicrobial resistance (AMR) poses a significant public health and economic challenge, increasing treatment costs and reducing antibiotic effectiveness. This study employs machine learning to analyze genomic and epidemiological data from…

Quantitative Methods · Quantitative Biology 2025-09-05 Shubham Mishra , The Anh Han , Bruno Silvester Lopes , Shatha Ghareeb , Zia Ush Shamszaman

The evolution of antimicrobial resistance generally occurs in an environment where antimicrobial concentration is variable, which has dramatic consequences on the microorganisms' fitness landscape, and thus on the evolution of resistance.…

Biological Physics · Physics 2018-10-23 Loïc Marrec , Anne-Florence Bitbol

Antibiotic resistance is a major threat to global health. It emerges in multispecies microbial communities under antibiotic exposure. This makes antibiotic spectrum -- a drug's distribution of effects across species -- a potential key…

Populations and Evolution · Quantitative Biology 2026-04-21 Magnus Aspenberg , Erik Andreas Martens , Kristofer Wollein Waldetoft

In this work, two mathematical models for malaria under resistance are presented. More precisely, the first model shows the interaction between humans and mosquitoes inside a patch under infection of malaria when the human population is…

Populations and Evolution · Quantitative Biology 2020-02-04 Cristhian Montoya , Jhoana P. Romero-Leiton

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…

‹ Prev 1 2 3 10 Next ›