RESUMEN
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.
RESUMEN
The association between maternal occupational exposure during pregnancy and the subsequent development of asthma in their children has always been a matter of debate, and the results of cohort studies on this issue have been controversial. The current study is the first systematic review and meta-analysis aimed at evaluating the risk of developing subsequent asthma in children based on maternal occupational exposure during the gestation period. To retrieve eligible studies, an advanced literature search was performed up to August 10, 2023 from the following databases: PubMed, Scopus, and Google Scholars. The title and abstract of related articles were screened; hence, the full texts were reviewed. Data extraction was conducted; hence, the included articles were analyzed to assess the mention association. From a total of 10 cohort studies with a total record of 5372, it was found that there is no significant relationship between occupational exposure to asthmogenic during pregnancy and later asthma in children. The pooled odds ratio of asthmatic children in patients with maternal occupational exposure to asthmogenic during pregnancy was 1.03 (95% confidence interval, 0.97-1.09) I2= 13% p=0.62. It was concluded that there is no significant association between maternal occupational exposure and future asthma in children. However, future large-scale studies are required to support these results.
RESUMEN
As immune regulators, cytokines serve critical role as signaling molecules in response to danger, tissue damage, or injury. Importantly, due to their vital role in immunological surveillance, cytokine therapy has become a promising therapeutics for cancer therapy. Cytokines have, however, been used only in certain clinical settings. Two key characteristics of cytokines contribute to this clinical translational challenge: first, they are highly pleiotropic, and second, in healthy physiology, they are typically secreted and act very locally in tissues. Systemic administration of the cytokines can consequently result in serious side effects. Thus, scientists have sought various strategies to circumvent theses hurdles. Recent in vivo reports signify that cytokine delivery platforms can increase their safety and therapeutic efficacy in tumor xenografts. Meanwhile, cytokine delivery using multipotent stem cells, in particular mesenchymal stem/stromal cells (MSCs), and also a diversity of particles and biomaterials has demonstrated greater capability in this regards. Herein, we take a glimpse into the recent advances in cytokine sustained delivery using stem cells and also biomaterials to ease safe and effective treatments of a myriad of human tumors.