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The Evolution of Uroflowmetry and Bladder Diary and the Emerging Trend of Using Home Devices From Hospital to Home.
Interact J Med Res
January 2025
Division of Urology, Department of Surgery, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan.
Although uroflowmetry and bladder diaries are widely used for noninvasive evaluation of lower urinary tract symptoms, they still have limitations in diagnostic capability and users' convenience. The aim of this paper is to discuss potential solutions by reviewing (1) the evolution and current clinical use of uroflowmetry and bladder diary, including clinical guidelines, daily practice applications, and their historical development; (2) a growing trend toward using home devices with various technologies; and (3) a comprehensive comparison of the strengths and weaknesses of these home devices. In our opinion, the following points can be highlighted: (1) the emerging trend of using home devices can enhance diagnostic capabilities through repeated measurements and the convenience of at-home testing and (2) home devices, which provide both frequency-volume and uroflowmetry information, have the potential to transform the management of lower urinary tract symptoms.
View Article and Find Full Text PDFThe Neurodiversity Framework in Medicine: On the Spectrum.
Dev Neurobiol
January 2025
Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA.
The term "neurodiversity" refers to the natural heterogeneity in human neurological functioning, which includes neurodevelopmental differences and other mental health conditions (e.g., autism spectrum disorder [ASD], attention-deficit hyperactivity disorder [ADHD], dyslexia, bipolar disorder, schizophrenia, and depression).
View Article and Find Full Text PDFRevolutionising oral organoids with artificial intelligence.
Biomater Transl
November 2024
Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China.
The convergence of organoid technology and artificial intelligence (AI) is poised to revolutionise oral healthcare. Organoids - three-dimensional structures derived from human tissues - offer invaluable insights into the complex biology of diseases, allowing researchers to effectively study disease mechanisms and test therapeutic interventions in environments that closely mimic in vivo conditions. In this review, we first present the historical development of organoids and delve into the current types of oral organoids, focusing on their use in disease models, regeneration and microbiome intervention.
View Article and Find Full Text PDFBackground: Persistent infection with human papillomavirus (HPV) is associated with most cervical and anal cancer cases and a large fraction of other anogenital and oropharyngeal cancers. The prophylactic HPV vaccines are known to prevent HPV infections and HPV-associated disease, although there is evidence of reduced response to the HPV vaccination among individuals living with HIV. Prior studies among individuals without HIV suggest that a single HPV vaccine dose induces humoral immune responses that, while lower than those induced by two or three doses, still confer protection against HPV infection.
View Article and Find Full Text PDFMulti task opinion enhanced hybrid BERT model for mental health analysis.
Sci Rep
January 2025
Department of Computer Science, College of Computer and Information Sciences, King Saud University, 11543, Riyadh, Saudi Arabia.
Understanding the nuanced emotions and points of view included in user-generated content remains challenging, even though text data analysis for mental health is a crucial instrument for assessing emotional well-being. Most current models neglect the significance of integrating viewpoints in comprehending mental health in favor of single-task learning. To offer a more thorough knowledge of mental health, in this study, we present an Opinion-Enhanced Hybrid BERT Model (Opinion-BERT), built to handle multi-task learning for simultaneous sentiment and status categorization.
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