Publications by authors named "M Jahanzaib Naqvi"
CHARACTERIZATION OF CYSTIC PANCREATIC LESIONS ON EUS, A SINGLE CENTRE EXPERIENCE.
J Ayub Med Coll Abbottabad
November 2024
Article Synopsis
- Pancreatic cystic lesions are becoming more common due to improved imaging techniques, necessitating thorough evaluation since some may be cancerous.
- The study analyzed patients with persistent abdominal pain at a military hospital over six months, leading to 88 cystic lesions identified through endoscopic ultrasound (EUS) and further assessment with fine needle aspiration (EUS-FNA).
- Results showed that most patients had a history of pancreatitis, with the majority of lesions located in the pancreatic body, primarily involving pancreatic pseudocysts, and all EUS procedures were successfully completed.
Assessment of immune correlates of severe COVID-19 has been hampered by the low numbers of severe cases in COVID-19 vaccine efficacy (VE) trials. We assess neutralizing and binding antibody levels at 4 weeks post-Ad26.COV2.
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- The study focused on analyzing Corynebacterium bacteria from the eyes of patients with dry eye disease and healthy individuals to understand its impact on ocular health.
- Researchers used whole genome sequencing, biochemical tests, and growth inhibition assays to assess the pathogenic potential of the isolates.
- Findings revealed eight different species of Corynebacterium, with one potential novel species showing the ability to inhibit the growth of harmful bacteria, suggesting a complex relationship between these microbes and eye health.
Ocular surface inflammatory disorders, such as dry eye, are becoming increasingly prevalent. Developing new treatment strategies targeting harmful bacteria could provide significant therapeutic benefits. The purpose of this study was to characterize the common ocular pathogen Staphylococcus aureus and the rarer endophthalmitis-associated species Enterococcus faecalis isolated from the ocular surface of dry eye disease patients in Norway.
View Article and Find Full Text PDFSkin lesion datasets used in the research are highly imbalanced; Generative Adversarial Networks can generate synthetic skin lesion images to solve the class imbalance problem, but it can result in bias and domain shift. Domain shifts in skin lesion datasets can also occur if different instruments or imaging resolutions are used to capture skin lesion images. The deep learning models may not perform well in the presence of bias and domain shift in skin lesion datasets.
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