Publications by authors named "M Sugaya"
There have been attempts to detect depression using medical-grade electroencephalograph (EEG) data based on a machine learning approach. EEG has garnered interest as a method for assessing brainwaves by attaching electrodes to the scalp to obtain electrical activity in the brain. Recently, machine learning has been applied to the EEG data to detect depression, with encouraging results.
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- An 84-year-old Japanese farmer developed sporotrichosis after being scratched by his cat two months prior to seeking medical help.
- A skin biopsy and tissue culture confirmed the diagnosis.
- The patient was treated with oral itraconazole for 13 months, leading to resolution of his ulceration symptoms.
Background: The heart comprises many types of cells such as cardiomyocytes, endothelial cells (ECs), fibroblasts, smooth muscle cells, pericytes, and blood cells. Every cell type responds to various stressors (eg, hemodynamic overload and ischemia) and changes its properties and interrelationships among cells. To date, heart failure research has focused mainly on cardiomyocytes; however, other types of cells and their cell-to-cell interactions might also be important in the pathogenesis of heart failure.
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- The study highlights the challenges of diagnosing hereditary skin tumors using traditional methods, emphasizing the advantages of whole-exome sequencing for accurate diagnosis.
- It focuses on hereditary leiomyomatosis and renal cell cancer, which are linked to genetic changes in the fumarate hydratase gene and are characterized by myomas and aggressive kidney cancer.
- The case of a 60-year-old woman with multiple skin tumors demonstrates the effectiveness of whole-exome sequencing in identifying a specific genetic variant, aiding in her diagnosis and management.