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FASEB J
January 2025
Department of Hematology, Nephrology, and Rheumatology, Graduate School of Medicine, Akita University, Akita, Japan.
Various tubular diseases in patients with multiple myeloma (MM) are caused by monoclonal immunoglobulin light chains (LCs). However, the physicochemical characteristics of the disease-causing LCs contributing to the onset of MM-associated tubular diseases remain unclear. We herein report a rare case of MM-associated combined tubulopathies: non-crystalline light chain proximal tubulopathy (LCPT) and crystalline light chain cast nephropathy (LCCN).
View Article and Find Full Text PDFMed J Armed Forces India
June 2024
Associate Professor, Department of ENT, Armed Forces Medical College, Pune, India.
Respirol Case Rep
August 2024
An 80-year-old man with a history of Bence-Jones potein (BJP) λ-type multiple myeloma (MM), which had been in remission for 16 years, was examined for shortness of breath and was found to have bilateral pleural and pericardial effusions. A pleural fluid test and a pleural biopsy under local anaesthesia performed by a previous physician failed to make the diagnosis. Despite diuretic therapy, his condition necessitated frequent thoracentesis.
View Article and Find Full Text PDFHinyokika Kiyo
March 2024
The Department of Urology, Japanese Red Cross Asahikawa Hospital.
An 85-year-old woman visited our hospital with a complaint of asymptomatic gross hematuria. Cystoscopy showed a non-papillary sessile tumor about 3 cm in size. Magnetic resonance imaging (MRI) suggested invasion of surrounding fat tissue.
View Article and Find Full Text PDFData sets with imbalanced class sizes, where one class size is much smaller than that of others, occur exceedingly often in many applications, including those with biological foundations, such as disease diagnosis and drug discovery. Therefore, it is extremely important to be able to identify data elements of classes of various sizes, as a failure to do so can result in heavy costs. Nonetheless, many data classification procedures do not perform well on imbalanced data sets as they often fail to detect elements belonging to underrepresented classes.
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