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Related papers: Applying data technologies to combat AMR: current …

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Consumption of antimicrobial drugs, such as antibiotics, is linked with antimicrobial resistance. Surveillance of antimicrobial drug consumption is therefore an important element in dealing with antimicrobial resistance. Many countries lack…

Information Retrieval · Computer Science 2018-03-12 Niels Dalum Hansen , Kåre Mølbak , Ingemar Cox , Christina Lioma

The discovery of novel antibiotics is critical to address the growing antimicrobial resistance (AMR). However, pharmaceutical industries face high costs (over $1 billion), long timelines, and a high failure rate, worsened by the rediscovery…

Computation and Language · Computer Science 2025-03-28 Maxime Delmas , Magdalena Wysocka , Danilo Gusicuma , André Freitas

The continuously increasing cost of the US healthcare system has received significant attention. Central to the ideas aimed at curbing this trend is the use of technology, in the form of the mandate to implement electronic health records…

Information Retrieval · Computer Science 2017-03-24 Pranjul Yadav , Michael Steinbach , Vipin Kumar , Gyorgy Simon

Diabetes is a chronic metabolic disease that can lead to serious health problems if not diagnosed and managed early. Big Data Analytics (BDA) and machine learning offer practical tools for analyzing large health datasets and supporting…

Computers and Society · Computer Science 2026-05-27 Silas Majyambere , Tony Lindgren , Workneh Y. Ayele , Celestin Twizere

Epidemics of infectious diseases are among the largest threats to the quality of life and the economic and social well-being of developing countries. The arsenal of measures against such epidemics is well-established, but costly and…

Social and Information Networks · Computer Science 2013-07-09 Mohamed Kafsi , Ehsan Kazemi , Lucas Maystre , Lyudmila Yartseva , Matthias Grossglauser , Patrick Thiran

Purpose: Antimicrobial resistance is a major global health concern, affecting hospital admissions and treatment success. This study aims to introduce an experimental setup for monitoring bacterial activity over time using image-based…

Quantitative Methods · Quantitative Biology 2025-06-12 M. A. Gameiro , R. F. Pinto , N. V. Lopes

Antimicrobial resistance is a silent pandemic that is being exacerbated by the uncontrolled use of antibiotics. Since the discovery of penicillin, we have been largely dependent on microbe-derived small molecules to treat bacterial…

Populations and Evolution · Quantitative Biology 2022-10-26 Hyunjin Shim

Traditional drug discovery is a long, expensive, and complex process. Advances in Artificial Intelligence (AI) and Machine Learning (ML) are beginning to change this narrative. Here, we provide a comprehensive overview of different AI and…

Artificial Intelligence · Computer Science 2024-11-12 Khartik Uppalapati , Eeshan Dandamudi , S. Nick Ice , Gaurav Chandra , Kirsten Bischof , Christian L. Lorson , Kamal Singh

Aquaculture is pivotal for global food security but faces significant challenges from infectious diseases, particularly those caused by Streptococcus species such as Streptococcus iniae and Streptococcus agalactiae. These pathogens induce…

Populations and Evolution · Quantitative Biology 2025-11-03 Hussein Aliu Sule , Abdulwakil Olawale Saba , Choo Yee Yu

Diabetes is a global epidemic and it is increasing at an alarming rate. The International Diabetes Federation (IDF) projected that the total number of people with diabetes globally may increase by 48%, from 425 million (year 2017) to 629…

Image and Video Processing · Electrical Eng. & Systems 2021-01-01 Wei Xiang Lim , Zhiyuan Chen , Amr Ahmed , Tissa Chandesa , Iman Liao

Antimicrobial protocols - using substances such as antibiotics or disinfectants - remain the preferred option for preventing the spread of pathogenic bacteria. However, bacteria can develop mechanisms to reduce their antimicrobial…

Populations and Evolution · Quantitative Biology 2026-02-17 Nerea Martínez-López , Niclas Nordholt , Frank Schreiber , Míriam R. García

Mixed Reality (MR) is of increasing interest within technology-driven modern medicine but is not yet used in everyday practice. This situation is changing rapidly, however, and this paper explores the emergence of MR technology and the…

Computer Vision and Pattern Recognition · Computer Science 2017-08-04 Long Chen , Thomas Day , Wen Tang , Nigel W. John

An estimated 300 million people worldwide suffer from asthma, and this number is expected to increase to 400 million by 2025. Approximately 250,000 people die prematurely each year from asthma out of which, almost all deaths are avoidable.…

Computers and Society · Computer Science 2018-04-13 Saksham Kukreja

The rapid rise of antibiotic resistance is a serious threat to global public health. Without further incentives, pharmaceutical companies have little interest in developing antibiotics, since the success probability is low and development…

Populations and Evolution · Quantitative Biology 2022-06-22 Lucas Böttcher , Hans Gersbach

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

During the growing popularity of electronic medical records, electronic medical record (EMR) data has exploded increasingly. It is very meaningful to retrieve high quality EMR in mass data. In this paper, an EMR value network with retrieval…

Computer Vision and Pattern Recognition · Computer Science 2019-11-22 Yongpei Zhu , Xuesheng Zhang , Kehong Yuan

Bacterial infections are responsible for high mortality worldwide. Antimicrobial resistance underlying the infection, and multifaceted patient's clinical status can hamper the correct choice of antibiotic treatment. Randomized clinical…

Machine Learning · Statistics 2022-07-18 Inyoung Jun , Simone Marini , Christina A. Boucher , J. Glenn Morris , Jiang Bian , Mattia Prosperi

This study presents the first large-scale empirical evaluation of quantum machine learning for predicting antibiotic resistance in clinical urine cultures. Antibiotic resistance is amongst the top threats to humanity, and inappropriate…

Other Quantitative Biology · Quantitative Biology 2026-01-23 Kahn Rhrissorrakrai , Filippo Utro , Alex Milinovich , Sandip Vasavada , Daniel Rhoads , Laxmi Parida , Glenn T. Werneburg

The COVID-19 pandemic has been a major challenge to humanity, with 12.7 million confirmed cases as of July 13th, 2020 [1]. In previous work, we described how Artificial Intelligence can be used to tackle the pandemic with applications at…

Computers and Society · Computer Science 2020-08-21 Alexandra Luccioni , Joseph Bullock , Katherine Hoffmann Pham , Cynthia Sin Nga Lam , Miguel Luengo-Oroz

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