AI Medical Compendium Topic:
Anti-Bacterial Agents

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Letter: predictive model for gastric cancer after eradication of Helicobacter pylori-a survival analysis using a deep learning algorithm. Authors' reply.

Alimentary pharmacology & therapeutics Aug 1, 2021
Stomach Neoplasms Deep Learning Helicobacter Infections Helicobacter pylori Survival Analysis Humans Algorithms Anti-Bacterial Agents
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Towards real-time diagnosis for pediatric sepsis using graph neural network and ensemble methods.

European review for medical and pharmacological sciences Jul 1, 2021
OBJECTIVE: The rapid onset of pediatric sepsis and the short optimal time for resuscitation pose a severe threat to children's health in the ICU. Timely diagnosis and intervention are essential to curing sepsis, but there is a lack of research on the...
Infant Sepsis Adolescent Time Factors Child, Preschool Anti-Bacterial Agents Female Humans Child Infant, Newborn Neural Networks, Computer Male
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Robotic Antimicrobial Susceptibility Platform (RASP): a next-generation approach to One Health surveillance of antimicrobial resistance.

The Journal of antimicrobial chemotherapy Jun 18, 2021
BACKGROUND: Surveillance of antimicrobial resistance (AMR) is critical to reducing its wide-reaching impact. Its reliance on sample size invites solutions to longstanding constraints regarding scalability. A robotic platform (RASP) was developed for ...
Escherichia coli Robotics One Health Anti-Bacterial Agents Drug Resistance, Bacterial Animals Microbial Sensitivity Tests Humans
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Artificial Intelligence to Guide Empirical Antimicrobial Therapy-Ready for Prime Time?

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America Jun 1, 2021
Humans Artificial Intelligence Anti-Bacterial Agents Anti-Infective Agents
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A Machine Learning Algorithm to Identify Patients with Tibial Shaft Fractures at Risk for Infection After Operative Treatment.

The Journal of bone and joint surgery. American volume Mar 17, 2021
BACKGROUND: Risk stratification of individual patients who are prone to infection would allow surgeons to monitor high-risk patients more closely and intervene early when needed. This could reduce infection-related consequences such as increased heal...
Humans Machine Learning Algorithms Anti-Bacterial Agents Female Adult Male Middle Aged Risk Assessment Adolescent Risk Factors Aged Aged, 80 and over Young Adult Tibia Tibial Fractures Prosthesis-Related Infections
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Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

The American journal of gastroenterology Feb 1, 2021
INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at a...
Adrenergic beta-Antagonists Clinical Decision Rules End Stage Liver Disease Rifaximin Patient Readmission Gastrointestinal Hemorrhage Proton Pump Inhibitors Infections Hepatic Encephalopathy Paracentesis Mortality Anti-Bacterial Agents Lactulose Female beta-Lactams Reproducibility of Results Hydrothorax Aged Ascites Logistic Models Male Gastrointestinal Agents Middle Aged Liver Cirrhosis Water-Electrolyte Imbalance Severity of Illness Index Humans Support Vector Machine Cohort Studies Kidney Diseases ROC Curve Machine Learning
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[Risk factors for multiple debridements of the patients with deep incisional surgical site infection after spinal surgery].

Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences Dec 30, 2020
OBJECTIVE: To investigate the risk factors that contribute to multiple debridements in patients suffering from deep incisional surgical site infection after spinal surgery and advise medical personnel to pay special attention to these risk factors.
Male Middle Aged Methicillin-Resistant Staphylococcus aureus Surgical Wound Infection Debridement Risk Factors Humans Anti-Bacterial Agents Aged Retrospective Studies Young Adult Female Adult
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Antimicrobial and synergistic activity of thiazoline derivatives in combination with conventional antibiotics against multidrug resistant Staphylococcus aureus isolated from abscess drainage samples.

Pakistan journal of pharmaceutical sciences Sep 1, 2020
Emergence and spread of multidrug resistant (MDR) Staphylococcus aureus strains is becoming major challenge in treatment of soft tissue infections. This study aimed to explore antimicrobial and synergistic antimicrobial potential of three commerciall...
Disk Diffusion Antimicrobial Tests Drug Therapy, Combination Ribotyping Thiazoles Thiazolidines Drainage Staphylococcal Infections Drug Synergism Abscess Humans Anti-Bacterial Agents Drug Resistance, Multiple, Bacterial Staphylococcus aureus
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Anti-inflammatory and antibacterial activities of P. petiolosa (Christ) Ching ethyl acetate extract against S. aureus in mice.

Pakistan journal of pharmaceutical sciences Sep 1, 2020
P. petiolosa as a typical Chinese herbal medicine has been generally utilized as Chinese native medicine formulation for treatment of chronic bronchitis, bronchial asthma and pneumoconiosis. The objective of this study was to evaluate the anti-inflam...
Pneumonia, Staphylococcal Polypodiaceae Plant Extracts Bacterial Load Anti-Bacterial Agents Membrane Proteins Heme Oxygenase-1 Staphylococcus aureus Tumor Necrosis Factor-alpha Inflammation Mediators Animals Disease Models, Animal Plant Leaves Nitric Oxide Synthase Type II Anti-Inflammatory Agents Acetates Solvents Mice, Inbred BALB C Lung
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Comparative study of antibacterial activity between Schiff base nicotinic hydrazide derivative and its silver architected nanoparticles with atomic force microscopic study of bacterial cell wall.

Pakistan journal of pharmaceutical sciences Sep 1, 2020
The threat of multi-drug resistant bacterial pathogens evokes researchers to synthesized safe and effective chemotherapeutic agents for nano-drug delivery system. In current study, Schiff base of nicotinic hydrazide(NHD) and its silver nanoparticles(...
Anti-Bacterial Agents Animals Mice Metal Nanoparticles Disk Diffusion Antimicrobial Tests Drug Compounding 3T3 Cells Cell Wall Salmonella enterica Hydrazines Schiff Bases Microscopy, Atomic Force Silver Compounds Nicotinic Acids
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