Platelet-rich plasma for treatment of female stress urinary incontinence.

INTRODUCTION AND OBJECTIVE: Stress urinary incontinence (SUI) poses a significant burden on affected individuals, impairing their quality of life and causing embarrassment due to involuntary urine leakage during activities such as sneezing or coughing. While conservative and surgical treatments exist, a subset of patients experiences persistent symptoms despite these interventions. This review provides insights into the potential role of platelet-rich plasma (PRP) as a therapeutic adjunct for patients with SUI that does not respond to conventional non-surgical or surgical treatments. METHODS: We conducted a literature review of studies in English to evaluate PRP efficacy in managing SUI. RESULTS: The studies conducted on PRP therapy suggest that it is an effective and safe treatment option for SUI in women. PRP injections, when used alone or in combination with other therapies, have shown significant improvements in SUI symptoms. Moreover, these studies indicate that PRP injections offer a less invasive and low-risk alternative to surgical procedures for managing SUI, which could lead to shorter recovery times. CONCLUSION: The efficacy of PRP therapy is evidenced by significant reductions in SUI symptoms, as well as improvements in bladder function variables, without significant adverse effects reported. However, further research is necessary to establish the long-term effectiveness and safety of PRP therapy for managing SUI in diverse patient populations. Additionally, ongoing evaluations of PRP therapy in combination with other interventions will be essential for optimizing treatment outcomes and broadening the potential applications of PRP in the management of SUI.

Monkeypox (Mpox) vs. Innate immune responses: Insights into evasion mechanisms and potential therapeutic strategies.

Orthopoxviruses, a group of zoonotic viral infections, have emerged as a significant health emergency and global concern, particularly exemplified by the re-emergence of monkeypox (Mpox). Effectively addressing these viral infections necessitates a comprehensive understanding of the intricate interplay between the viruses and the host's immune response. In this review, we aim to elucidate the multifaceted aspects of innate immunity in the context of orthopoxviruses, with a specific focus on monkeypox virus (MPXV). We provide an in-depth analysis of the roles of key innate immune cells, including natural killer (NK) cells, dendritic cells (DCs), and granulocytes, in the host defense against MPXV. Furthermore, we explore the interferon (IFN) response, highlighting the involvement of toll-like receptors (TLRs) and cytosolic DNA/RNA sensors in detecting and responding to the viral presence. This review also examines the complement system's contribution to the immune response and provides a detailed analysis of the immune evasion strategies employed by MPXV to evade host defenses. Additionally, we discuss current prevention and treatment strategies for Mpox, including pre-exposure (PrEP) and post-exposure (PoEP) prophylaxis, supportive treatments, antivirals, and vaccinia immune globulin (VIG).

Machine and deep learning algorithms for classifying different types of dementia: A literature review.

The cognitive impairment known as dementia affects millions of individuals throughout the globe. The use of machine learning (ML) and deep learning (DL) algorithms has shown great promise as a means of early identification and treatment of dementia. Dementias such as Alzheimer's Dementia, frontotemporal dementia, Lewy body dementia, and vascular dementia are all discussed in this article, along with a literature review on using ML algorithms in their diagnosis. Different ML algorithms, such as support vector machines, artificial neural networks, decision trees, and random forests, are compared and contrasted, along with their benefits and drawbacks. As discussed in this article, accurate ML models may be achieved by carefully considering feature selection and data preparation. We also discuss how ML algorithms can predict disease progression and patient responses to therapy. However, overreliance on ML and DL technologies should be avoided without further proof. It's important to note that these technologies are meant to assist in diagnosis but should not be used as the sole criteria for a final diagnosis. The research implies that ML algorithms may help increase the precision with which dementia is diagnosed, especially in its early stages. The efficacy of ML and DL algorithms in clinical contexts must be verified, and ethical issues around the use of personal data must be addressed, but this requires more study.

Health Literacy Among University Students in the COVID-19 Pandemic: A Systematic Review.

BACKGROUND: The purpose of this systematic review was to assess different studies that worked on university students' health literacy during covid19 pandemic and to make an overview of this issue to recognize possible determinants associated with health literacy. METHODS: This review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA). Four databases (Google Scholar, Web of Science, Pubmed, and Scopus) were used for searching cross-sectional works that assessed the health literacy of university students. We searched papers from December 1st, 2019 up to June 10th, 2022. English language articles were used. Studies were done in countries including; Iran, Pakistan, the USA, Vietnam, China, Colombia, Germany, and Indonesia. RESULTS: The systematic review contains 12 research studies involving 17773 students. There was a relationship between health literacy and some determinants. Positive determinants included age, female gender, Urban background, cognitive maturity, Higher educational qualification, information source (Health workers), number of semesters, and parental education. Some negative determinants were male gender, Rural background, smoking, drinking, being able to pay for medication, lower conspiracy beliefs, and higher fear of COVID-19. CONCLUSION: University students around the world should have courses about health literacy according to university disciplines. These courses should be available for students of different fields to enhance their effectiveness, and training should be associated with students' needs and their subgroup traits.