Publications by authors named "B Saylam"
Background: Bladder cancer continues to be a significant health issue, leading to ongoing research into novel biomarkers and treatment strategies. This study aims to evaluate the potential of serum fibronectin levels and fibronectin gene polymorphisms as biomarkers for predicting the recurrence and treatment response in patients with NMIBC undergoing intravesical BCG therapy.
Methods: Between June 2022 and December 2022, data of 73 patients who applied to the Mersin University Urology Clinic due to NMIBC and were followed and treated in our clinic, receiving intravesical BCG treatment, when necessary, as well as 56 individuals without any malignancy, were prospectively examined.
Article Synopsis
- Non-obstructive azoospermia (NOA) is a prevalent and complex issue with varied treatment options and no definitive guidelines, leading to differing management practices internationally.
- A comprehensive survey with 336 responses from specialists in 49 countries explored current medical and surgical strategies for NOA, analyzing results against existing guidelines and offering expert recommendations.
- Key findings included diverse approaches to hormonal therapy, significant variation in sperm retrieval success rates, and differing protocols around varicocele repair and follicle-stimulating hormone cutoff levels for sperm retrieval.
Article Synopsis
- * Conducted from July to September 2022, a questionnaire gathered responses from 367 doctors in 49 countries, focusing on how they diagnose NOA through methods like hormone tests and genetic analyses.
- * The survey identified that while many practices align with guidelines, significant differences in approaches were found, underscoring the need for standardized, evidence-based international guidelines for NOA evaluation.
Multitask Learning for Mental Health: Depression, Anxiety, Stress (DAS) Using Wearables.
Diagnostics (Basel)
February 2024
This study investigates the prediction of mental well-being factors-depression, stress, and anxiety-using the NetHealth dataset from college students. The research addresses four key questions, exploring the impact of digital biomarkers on these factors, their alignment with conventional psychology literature, the time-based performance of applied methods, and potential enhancements through multitask learning. The findings reveal modality rankings aligned with psychology literature, validated against paper-based studies.
View Article and Find Full Text PDFWearable devices have become ubiquitous, collecting rich temporal data that offers valuable insights into human activities, health monitoring, and behavior analysis. Leveraging these data, researchers have developed innovative approaches to classify and predict time-based patterns and events in human life. Time-based techniques allow the capture of intricate temporal dependencies, which is the nature of the data coming from wearable devices.
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