AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Disk Diffusion Antimicrobial Tests

Showing 1 to 4 of 4 articles

Clear Filters

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 33832908
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...
Abscess Anti-Bacterial Agents Disk Diffusion Antimicrobial Tests Drainage Drug Resistance, Multiple, Bacterial Drug Synergism Drug Therapy, Combination Humans Ribotyping Staphylococcal Infections Staphylococcus aureus Thiazoles Thiazolidines
View on PubMed

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 33824105
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(...
3T3 Cells Animals Anti-Bacterial Agents Cell Wall Disk Diffusion Antimicrobial Tests Drug Compounding Hydrazines Metal Nanoparticles Mice Microscopy, Atomic Force Nicotinic Acids Salmonella enterica Schiff Bases Silver Compounds
View on PubMed

QSAR Models for Active Substances against Using Disk-Diffusion Test Data.

Molecules (Basel, Switzerland) 33808845
is a Gram-negative bacillus included among the six "ESKAPE" microbial species with an outstanding ability to "escape" currently used antibiotics and developing new antibiotics against it is of the highest priority. Whereas minimum inhibitory concent...
Anti-Bacterial Agents Disk Diffusion Antimicrobial Tests Models, Biological Pseudomonas aeruginosa Quantitative Structure-Activity Relationship Support Vector Machine
View on PubMed DOI

Machine learning approach for predicting the antifungal effect of gilaburu (Viburnum opulus) fruit extracts on Fusarium spp. isolated from diseased potato tubers.

Journal of microbiological methods 34808145
This work addresses the mathematical model building to detect the diameter of the inhibition zone of gilaburu (Viburnum opulus L.) extract against eight different Fusarium strains isolated from diseased potato tubers. Gilaburu extracts were obtained ...
Algorithms Antifungal Agents Antioxidants Disk Diffusion Antimicrobial Tests Food Microbiology Fusarium Machine Learning Plant Extracts Solanum tuberosum Viburnum
View on PubMed DOI
Popular Topics
Recent Journals