Publications by authors named "R Gorniak"

is a common etiological factor of hospital infections, which, in extreme cases, can lead to the death of patients. Most strains belonging to this bacterium species synthesize very dangerous toxins: toxin A (TcdA) and B (TcdB) and binary toxin (CDT). The aim of this study was to assess the suitability of agarose gel electrophoresis separation of multiplex PCR amplicons to investigate the toxinogenic potential of strains.

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became one of the main causes of nosocomial infections in all clinical settings worldwide, especially among patients undergoing antibiotic therapy. The incidence and severity of infections, from mild diarrhea to life-threatening pseudomembranous colitis, correlate with the spread of the hypervirulent binary toxin (CDT)-producing strains. The use of the real-time HRM-PCR method enables the identification of hypervirulent strains directly in the diarrheal stool samples of patients suspected of being infected with this bacterium.

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Article Synopsis
  • A novel deep learning system was developed to locate hip joints and identify cam-type femoroacetabular impingement (FAI) using radiographs from 3050 patients.
  • The study found that hips were classified into severe, moderate, mild cam-type FAI, or normal, with accuracy rates of 74% for detecting abnormal vs. normal FAI morphology.
  • The deep learning approach showed promise in enhancing the efficiency of radiologists by automatically detecting and categorizing FAI-related changes on pelvic radiographs.
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