A5033336332- Diabetes Management and Research
- Pancreatic function and diabetes
- Diabetes and associated disorders
- Antibiotic Resistance in Bacteria
- Antibiotics Pharmacokinetics and Efficacy
- COVID-19 diagnosis using AI
- Pneumonia and Respiratory Infections
- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Antimicrobial Resistance in Staphylococcus
- Antibiotic Use and Resistance
- Advanced Chemical Sensor Technologies
- Helicobacter pylori-related gastroenterology studies
- Sensorless Control of Electric Motors
- Gut microbiota and health
- Stochastic processes and financial applications
- Bacterial Infections and Vaccines
- Urinary Tract Infections Management
- Lung Cancer Diagnosis and Treatment
- Educational Innovations and Technology
- Differential Equations and Numerical Methods
- Gas Sensing Nanomaterials and Sensors
- Enterobacteriaceae and Cronobacter Research
- Microwave-Assisted Synthesis and Applications
- Control and Stability of Dynamical Systems
Universidad Autónoma de Ica
2025
Universidad Autónoma de Asunción
2025
Universidad de Guadalajara
2012-2024
Universidad Privada de Tacna
2022-2024
Universidad Privada Peruano Alemana
2022-2024
Universidad de Málaga
2024
Tecnológico Nacional de México
2024
Universidade da Coruña
2024
Universidad de Salamanca
1982-2000
Complejo Hospitalario de Salamanca
1996-1999
Volatile organic compounds (VOCs) in exhaled human breath serve as pivotal biomarkers for disease identification and medical diagnostics. In the context of diabetes mellitus, noninvasive detection acetone, a primary biomarker using electronic noses (e-noses), has gained significant attention. However, employing e-noses requires pre-trained algorithms precise detection, often requiring computer with programming environment to classify newly acquired data. This study focuses on development an...
Lung and colon cancers are among the most prevalent lethal malignancies worldwide, underscoring urgent need for advanced diagnostic methodologies. This study aims to develop a hybrid deep learning machine framework classification of Colon Adenocarcinoma, Benign Tissue, Squamous Cell Carcinoma from histopathological images.
ABSTRACT Fluoroquinolone efflux was studied in 47 Staphylococcus aureus clinical strains with MICs of ciprofloxacin (CFX) ≤2 μg/ml. Forty-three were wild type for gyrA , gyrB and grlA quinolone resistance-determining regions norA its promoter region. Forty these (MICs CFX, 0.1 to 0.2 μg/ml) did not show fluoroquinolones. Three 1 2 showed efflux. These results suggest that can appear S. the absence mutations promoter.
The in vitro activities of amoxicillin, cefuroxime, ceftetrame, cefetamet, cefixime, tigemonam, erythromycin, roxithromycin, and dirithromycin against 30 clinical isolates Campylobacter pylori were determined by an agar dilution technique. Roxithromycin amoxicillin (MICs for 90% tested, 0.01 0.06 micrograms/ml, respectively) the most active antibiotics but all strains susceptible to antimicrobial agents tested.
Lung and colon cancers are among the most common lethal types of cancer. It is possible for individuals to develop both simultaneously, as risk factors such smoking, which a leading cause lung cancer, can also contribute poor dietary habits, thereby increasing Traditionally, diagnosis these relies on biopsies subsequent laboratory analysis. This study proposes an Inception-ResNetV2-based model accurately classifying cancer using histopathological images. The dataset analyzed consists 25,000...
The activities of ampicillin, ampicillin-sulbactam, amoxicillin, amoxicillin-clavulanic acid, ticarcillin, ticarcillin-clavulanic piperacillin, piperacillin-tazobactam, aztreonam, and aztreonam-clavulanic against Stenotrophomonas maltophilia strains for which the MICs penicillins commercially available beta-lactam-beta-lactamase inhibitor combinations were higher than breakpoints usually recommended Pseudomonas aeruginosa in broth microdilution methods tested by agar diffusion, dilution,...
Regarding Type 1 Diabetes Mellitus (T1DM) research, the most recent advances in computer technology and biological sciences have focused on reducing complications due to hyperglycemic hypoglycemic events. These dangerous conditions can lead severe micro- macrovascular damages, diabetic coma even death. In this work, a novel inverse optimal approach for glycemic control T1DM is proposed. The complete scheme integrates neuronal identifier neural multi-step predictor obtain future glucose...
The Type 1 Diabetes Mellitus (T1DM) disease appears due to a pancreas atypical failure, which precludes insulin production. Hence, glucose is not metabolized become natural source of energy and therefore remains in the bloodstream. Dealing with T1DM becomes very serious issue since it causes death millions people around world. Government sectors, as well scientific community, have enhanced efforts provide convenient treatments. This article exposes novel neuro-fuzzy control approach for...
Moxifloxacin is a new group IV 8-methoxyquinolone. It slightly less active than ciprofloxacin against enterobacteria and much effective P. aeruginosa. However, moxifloxacin clearly better in treating atypical microorganisms especially anaerobic bacteria aerobic Gram-positive cocci, including methicillin-resistant Staphylococcus aureus penicillin-resistant Streptococcus pneumoniae. In recent years there has been an increase the resistance of some respiratory pathogens to beta-lactam macrolide...
Diabetes Mellitus (DM) is a disease which afflicts large group of the world population. It affects people from any socio-economic status, physical characteristics, age or gender. This pathology major public health problem and it has been focused as requiring priority attention. In this way, idea an artificial pancreas become one areas research for multiple disciplines because offers promising approach Type 1 (T1DM) treatment. The aim to reduce complications despite variability internal...
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