AIMC Topic: Bacterial Infections

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Robust Diagnosis of Acute Bacterial and Viral Infections via Host Gene Expression Rank-Based Ensemble Machine Learning Algorithm: A Multi-Cohort Model Development and Validation Study.

Clinical chemistry
BACKGROUND: The accurate and prompt diagnosis of infections is essential for improving patient outcomes and preventing bacterial drug resistance. Host gene expression profiling as an approach to infection diagnosis holds great potential in assisting ...

Reviewing on AI-Designed Antibiotic Targeting Drug-Resistant Superbugs by Emphasizing Mechanisms of Action.

Drug development research
The emergence of drug-resistant bacteria, often referred to as "superbugs," poses a profound and escalating challenge to global health systems, surpassing the capabilities of traditional antibiotic discovery methods. As resistance mechanisms evolve r...

Emulation of a Target Trial to Estimate the Effect of Selective Serotonin Reuptake Inhibitors on the Development of Antimicrobial-Resistant Infections using Electronic Health Record Data and Causal Machine Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Antimicrobial resistance is a significant public health concern. The use of selective serotonin reuptake inhibitors (SSRIs), medications commonly prescribed to treat depression, anxiety, and other psychiatric disorders, is increasing. Previous in vit...

Towards development of a novel universal medical diagnostic method: Raman spectroscopy and machine learning.

Chemical Society reviews
Many problems exist within the myriad of currently employed screening and diagnostic methods. Further, an incredibly wide variety of procedures are used to identify an even greater number of diseases which exist in the world. There is a definite unme...

Machine Learning To Predict Serious Bacterial Infections in Young Febrile Infants.

Pediatrics
BACKGROUND: Recent decision rules for the management of febrile infants support the identification of infants at higher risk of serious bacterial infections (SBIs) without the performance of routine lumbar puncture. We derive and validate a model to ...

Rumex dentatus could be a potent alternative to treatment of microbial infections and of breast cancer.

Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan
OBJECTIVE: To investigate the phytochemicals and in vitro antioxidant, antimicrobial and cytotoxic potential of Rumex dentatus (R. dentatus) leaf extracts.

Procalcitonin in inflammatory bowel disease: Drawbacks and opportunities.

World journal of gastroenterology
The measurement of procalcitonin has recently become a mainstay for the diagnosis and therapeutic management of severe bacterial infections, especially those sustained by Gram-negative bacteria. Therefore, the aim of this article is to provide a narr...

Machine learning: novel bioinformatics approaches for combating antimicrobial resistance.

Current opinion in infectious diseases
PURPOSE OF REVIEW: Antimicrobial resistance (AMR) is a threat to global health and new approaches to combating AMR are needed. Use of machine learning in addressing AMR is in its infancy but has made promising steps. We reviewed the current literatur...

[Spontaneous bacterial peritonitis].

Klinicka mikrobiologie a infekcni lekarstvi
AIM OF STUDY: Spontaneous bacterial peritonitis (SBP) is the most frequent infectious complication of liver cirrhosis with serious consequences. Initially, SBP is always treated with empirical, not targeted, antibiotic therapy. Since a retrospective ...