Antibiotics in Orthopedic Infections

Anagnostakos, Konstantinos; Fink, Bernd

doi:10.3390/antibiotics10111297

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…The antibiotics currently used in the clinical treatment of bone and joint infections include gentamicin, levofloxacin, clindamycin, vancomycin, cephalosporins, amoxicillin, and erythromycin. 21 However, some bacteria, including S. aureus, may develop resistance to all these antibiotics. 22 S. aureus have developed many survival strategies that interact with host cells, including biofilm formation, 23 intracellular infection, small colony variation (SCV), and toxin secretion.…”

Section: The Causes Of Difficulty In Treating Bone Infectionsmentioning

confidence: 99%

Research and Application of Chitosan Nanoparticles in Orthopedic Infections

Shi,

Zhou

et al. 2024

IJN

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Section: The Causes Of Difficulty In Treating Bone Infectionsmentioning

confidence: 99%

Research and Application of Chitosan Nanoparticles in Orthopedic Infections

Shi,

Zhou

et al. 2024

IJN

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“…Researchers are focusing more and more on the role that pathogenic microorganisms play in orthopedic diseases because they can even directly infect orthopedic patients, such those who have fractures. Improvements in microbial detection technology have also led to an increase in the number of organisms at the site of Periprosthetic Joint Infections (PJIs) ( Anagnostakos and Fink, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Exploring the impact of pathogenic microbiome in orthopedic diseases: machine learning and deep learning approaches

Shao,

Gao,

Wang

et al. 2024

Front. Cell. Infect. Microbiol.

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Osteoporosis, arthritis, and fractures are examples of orthopedic illnesses that not only significantly impair patients’ quality of life but also complicate and raise the expense of therapy. It has been discovered in recent years that the pathophysiology of orthopedic disorders is significantly influenced by the microbiota. By employing machine learning and deep learning techniques to conduct a thorough analysis of the disease-causing microbiome, we can enhance our comprehension of the pathophysiology of many illnesses and expedite the creation of novel treatment approaches. Today’s science is undergoing a revolution because to the introduction of machine learning and deep learning technologies, and the field of biomedical research is no exception. The genesis, course, and management of orthopedic disorders are significantly influenced by pathogenic microbes. Orthopedic infection diagnosis and treatment are made more difficult by the lengthy and imprecise nature of traditional microbial detection and characterization techniques. These cutting-edge analytical techniques are offering previously unheard-of insights into the intricate relationships between orthopedic health and pathogenic microbes, opening up previously unimaginable possibilities for illness diagnosis, treatment, and prevention. The goal of biomedical research has always been to improve diagnostic and treatment methods while also gaining a deeper knowledge of the processes behind the onset and development of disease. Although traditional biomedical research methodologies have demonstrated certain limits throughout time, they nevertheless rely heavily on experimental data and expertise. This is the area in which deep learning and machine learning approaches excel. The advancements in machine learning (ML) and deep learning (DL) methodologies have enabled us to examine vast quantities of data and unveil intricate connections between microorganisms and orthopedic disorders. The importance of ML and DL in detecting, categorizing, and forecasting harmful microorganisms in orthopedic infectious illnesses is reviewed in this work.

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Antibiotics in Orthopedic Infections

Abstract: The management of orthopedic infections has continuously been gaining increasing interest in the past few years [...]

Cited by 2 publications

References 10 publications

Research and Application of Chitosan Nanoparticles in Orthopedic Infections

Research and Application of Chitosan Nanoparticles in Orthopedic Infections

Exploring the impact of pathogenic microbiome in orthopedic diseases: machine learning and deep learning approaches

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