Direct cytosol delivery of mRNA by micron-sized co-assembly with designer oligopeptides.

Inefficient endosomal escape has been regarded as the main bottleneck for intracellular nucleic acid delivery. While most research efforts have been spent on designing various nano-sized particles, we took a different path here, investigating micron-sized carriers for direct cytosol entry. Using the spontaneous co-assembly of mRNA and the designer 27 amino acid oligopeptide named pepMAX2, micron-sized co-assemblies were obtained with various sizes by altering the concentration of NaCl salt and time for pre-incubation.

The Effect of Biofeedback on Constipation, Sleep, Depression, Anxiety and Quality of Life in Patients with Dyssynergic Defecation: a QUASI Experimental Study (Before and After Study).

Dyssynergic defecation(DD) is the inability to coordinate abdominal and anorectal muscle contraction during defecation. Patients with constipation often report poor quality of life, sleep issues, and increased risk of mood disorders. Biofeedback is a recommended treatment for DD.

Self-Supervised Learning for Near-Wild Cognitive Workload Estimation.

Feedback on cognitive workload may reduce decision-making mistakes. Machine learning-based models can produce feedback from physiological data such as electroencephalography (EEG) and electrocardiography (ECG). Supervised machine learning requires large training data sets that are (1) relevant and decontaminated and (2) carefully labeled for accurate approximation, a costly and tedious procedure.

Application of Artificial Intelligence in Prediction of Ki-67 Index in Meningiomas: A Systematic Review and Meta-Analysis.

Background: The Ki-67 index is a histopathological marker that has been reported to be a crucial factor in the biological behavior and prognosis of meningiomas. Several studies have developed artificial intelligence (AI) models to predict the Ki-67 based on radiomics. In this study, we aimed to perform a systematic review and meta-analysis of AI models that predicted the Ki-67 index in meningioma.

Interaction of High- and Low-Risk Human Papillomavirus Genotypes is Associated with a Reduced Risk of Developing Cervical Cancer.

Introduction: Cervical cancer is among the most common types of cancer in women and is associated with human papillomavirus (HPV) infection. The association between cervical cancer and high-risk HPV infection has been well documented. However, the effect of simultaneous infection with high- and low-risk HPV or low-risk HPV alone on the risk of developing cervical malignancy remains unanswered in guidelines.