Does Pelvic Congestion Cause Bladder Symptoms-Potential New Indication to Treat Pelvic Congestion.

Background: Pelvic Congestion Syndrome (PCS) is a condition characterised by chronic pelvic pain resulting from the dilation and reflux of veins within the pelvis. While pelvic pain is the primary symptom of PCS, other associated symptoms may vary among individuals. Bladder symptoms have been commonly observed in PCS, including increased urination frequency, urinary urgency, nocturia and rarely haematuria.

Molecular-based laboratory testing confer accuracy over microscopical testing for tick identification.

As per published literature, the tick is the primary Lyme disease vector in British Columbia (BC), while the tick species is the dominant vector on the East Coast of Canada, with no . presence seen in BC. However, a recent publication reported presence of in BC which initiated this study to determine the accuracy of the microscopic identification of ticks received in the BC Centre for Disease Control (BCCDC) Public Health Laboratory and compare morphologic methods to molecular methods.

Assessing ChatGPT's Reliability as an Educational Resource for Information on Breast Reduction Surgery.

Introduction: With advances in AI and machine learning, platforms like OpenAI's ChatGPT are emerging as educational resources. While these platforms offer easy access and user-friendliness due to their personalized conversational responses, concerns about the accuracy and reliability of their information persist. As one of the most common surgical procedures performed by plastic surgeons worldwide, breast reduction surgery (BRS) offers relief for the physical and emotional burdens of large breasts.

Improved enzyme functional annotation prediction using contrastive learning with structural inference.

Recent years have witnessed the remarkable progress of deep learning within the realm of scientific disciplines, yielding a wealth of promising outcomes. A prominent challenge within this domain has been the task of predicting enzyme function, a complex problem that has seen the development of numerous computational methods, particularly those rooted in deep learning techniques. However, the majority of these methods have primarily focused on either amino acid sequence data or protein structure data, neglecting the potential synergy of combining both modalities.