Publications by authors named "B E Osobu"
Article Synopsis
- Machine learning can work well, but it often struggles to make accurate predictions on new data, which is called out-of-sample generalizability.
- To solve this problem, researchers are using a method called Federated ML that allows computers to share information about how well they're learning without actually sharing the data itself.
- In a big study with 71 locations around the world, scientists created a model to help detect brain tumors more accurately, showing a significant improvement compared to older methods and hoping to help with rare illnesses and data sharing in healthcare.
A preperitoneal abscess is an uncommon manifestation of extraperitoneal collection. We present a case of an anterior abdominal wall preperitoneal abscess in a 30-year-old Nigerian female with abdominal pain and purulent abdominal wall discharge ten days after an initial admission for spontaneous bacterial peritonitis. This report underscores the role of ultrasound in diagnosis and follow-up and percutaneous ultrasound-guided continuous percutaneous catheter drainage and management of an extraperitoneal abscess.
View Article and Find Full Text PDFThe COVID-19 pandemic remains an evolving disease posing a challenge of incomplete understanding escalated by random atypical clinical presentations. Numerous challenges still exist with accessibility and availability of standard COVID-19 viral testing using real-time Polymerase Chain Reaction (RT-PCR), in low- and middle-income countries, especially in several hospital settings. The clinical information of three select patients at a major health facility in Southwestern Nigeria with unusual COVID-19 clinical presentation and clinical management dilemma related to challenges with COVID-19 viral laboratory testing, were retrospectively reviewed.
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