Construction and Validation of CRISPR/Cas Vectors for Editing the Gene in Banana ( spp.).

Bananas and plantains are important staple food crops affected by biotic and abiotic stresses. The gene editing technique via Clustered Regularly Interspaced Short Palindromic Repeats associated with the Cas protein (CRISPR/Cas) has been used as an important tool for development of cultivars with high tolerance to stresses. This study sought to develop a protocol for the construction of vectors for gene knockout.

Abdominal Wall-targeted Myofascial Release Therapy in Pediatric Patients with Irritable Bowel Syndrome: A Feasibility and Acceptability Study.

Background: Myofascial release (MFR) is a form of massage therapy that involves identifying and releasing restrictions in the fascia and muscles. MFR-like techniques have shown improvement in abdominal pain, distention, constipation, and quality of life (QoL) in adults. Therefore, MFR may be helpful in patients with irritable bowel syndrome (IBS), a disorder of gut-brain interaction or functional gastrointestinal disorder, mainly presenting with prolonged abdominal pain, bloating, and altered defecation patterns, leading to impairment in QoL.

Prevalence and factors associated with body image dissatisfaction among school student: National School Health Survey, 2019.

Objective: To estimate prevalence and analyze factors associated with body image dissatisfaction among Brazilian adolescent school students.

Methods: Cross-sectional study with data from the 2019 National School Health Survey (PeNSE). Prevalence of self-reported body image dissatisfaction and respective 95% confidence intervals (95%CI) and its association with individual characteristics were estimated via odds ratios (OR) and 95% CI using logistic regression.

Impact of the Covid-19 pandemic on the maternal mortality rate in Brazil: trend and spatial distribution.

Objective: To analyze the impact of the Covid-19 pandemic on the Maternal Mortality Ratio in Brazil from 2018 to 2021.

Method: Ecological time series study, which analyzed the trend and spatial distribution of maternal deaths from 2018 to 2021, with data obtained from the Mortality and Live Birth Information System. The Maternal Mortality Ratio values were subjected to Prais-Winsten linear regression analysis using Stata program, version 14.

Artificial Intelligence and Colposcopy: Automatic Identification of Vaginal Squamous Cell Carcinoma Precursors.

: While human papillomavirus (HPV) is well known for its role in cervical cancer, it also affects vaginal cancers. Although colposcopy offers a comprehensive examination of the female genital tract, its diagnostic accuracy remains suboptimal. Integrating artificial intelligence (AI) could enhance the cost-effectiveness of colposcopy, but no AI models specifically differentiate low-grade (LSILs) and high-grade (HSILs) squamous intraepithelial lesions in the vagina.

Use of CRISPR Technology in Gene Editing for Tolerance to Biotic Factors in Plants: A Systematic Review.

The objective of this systematic review (SR) was to select studies on the use of gene editing by CRISPR technology related to plant resistance to biotic stresses. We sought to evaluate articles deposited in six electronic databases, using pre-defined inclusion and exclusion criteria. This SR demonstrates that countries such as China and the United States of America stand out in studies with CRISPR/Cas.

Enhancing EHR Interoperability and Security through Distributed Ledger Technology: A Review.

The management and exchange of electronic health records (EHRs) remain critical challenges in healthcare, with fragmented systems, varied standards, and security concerns hindering seamless interoperability. These challenges compromise patient care and operational efficiency. This paper proposes a novel solution to address these issues by leveraging distributed ledger technology (DLT), including blockchain, to enhance data security, integrity, and transparency in healthcare systems.

Collaboration between registered dietitians and gastroenterologists in cystic fibrosis care: Results of an international cross-sectional survey.

Background: Collaboration between registered dietitians and gastroenterologists has not been evaluated in cystic fibrosis (CF). We surveyed registered dietitians and gastroenterologists regarding the current participation of gastroenterologists in CF centers and identified possible areas to enhance partnership between the two disciplines.

Methods: An anonymous online survey was distributed targeting registered dietitians and gastroenterologists involved in CF care through three international listservs (CF Nutrition, CF DIGEST, and PEDGI) over a 6-week period.

A Comprehensive Review of Artificial Intelligence and Colon Capsule Endoscopy: Opportunities and Challenges.

Colon capsule endoscopy (CCE) enables a comprehensive, non-invasive, and painless evaluation of the colon, although it still has limited indications. The lengthy reading times hinder its wider implementation, a drawback that could potentially be overcome through the integration of artificial intelligence (AI) models. Studies employing AI, particularly convolutional neural networks (CNNs), demonstrate great promise in using CCE as a viable option for detecting certain diseases and alterations in the colon, compared to other methods like colonoscopy.

Musculoskeletal symptomatology in skeletally immature students carrying heavy backpacks: a cross-sectional study.

Background: Young students with skeletal immaturity report an increasing number of musculoskeletal symptoms associated with daily use of heavy backpacks. This cross-sectional study investigated the relationship between heavy backpack use and reports of pain.

Methods: Data were collected from 300 students aged 11 to 18 at the University of Toronto Schools.

Temporal trends in occupational mortality in Brazil, 2010-2019.

Introduction: Occupational accidents represent a severe and complex public health issue.

Objectives: To identify temporal trends in occupational mortality in Brazil from 2010 to 2019.

Methods: This was an ecological study with time series analysis using data from the Brazilian Ministry of Health Mortality Information System (Ministério da Saúde/ Sistema de Informações sobre Mortalidade).

Trend in mortality from mental and behavioral disorders due to alcohol use in Brazil, 2010-2021.

Objective: To analyze the trend in mortality from mental and behavioral disorders due to alcohol use in Brazil, 2010-2021.

Methods: This was an time series study using Mortality Information System data. Annual percentage change (APC) and 95% confidence intervals (95% CI) were calculated using Prais-Winsten linear regression.

A critique of the Rajasthan Right to Health Bill, 2022 and suggestions for the way forward.

This article discusses a brief history of the concept of Right to Health, the concepts of rights and duties and why both are important and how, in healthcare, one's duty is another's right. The Rajasthan Right to Health Bill, 2022 is analysed and the shortcomings and issues in the Act are discussed. Suggestions to modify the Act and how the same can be implemented are given.

Trend and spatial pattern of intimate partner rape notifications against women in Northeast Brazil (2013-2022).

Objective: To analyze the trend and spatial pattern of intimate partner rape reports against women in Northeast Brazil.

Methods: Ecological time-series study and spatial analysis with secondary data from the Notifiable Diseases Information System between 2013 and 2022. Gross rape rates were calculated by type of intimate partner and by age group of the victim.

Advancements in biliopancreatic endoscopy - A comprehensive review of artificial intelligence in EUS and ERCP.

The development and implementation of artificial intelligence (AI), particularly deep learning (DL) models, has generated significant interest across various fields of gastroenterology. While research in luminal endoscopy has seen rapid translation to clinical practice with approved AI devices, its potential extends far beyond, offering promising benefits for biliopancreatic endoscopy like optical characterization of strictures during cholangioscopy or detection and classification of pancreatic lesions during diagnostic endoscopic ultrasound (EUS). This narrative review provides an up-to-date of the latest literature and available studies in this field.

Deep learning and capsule endoscopy: Automatic multi-brand and multi-device panendoscopic detection of vascular lesions.

Capsule endoscopy (CE) is commonly used as the initial exam for suspected mid-gastrointestinal bleeding after normal upper and lower endoscopy. Although the assessment of the small bowel is the primary focus of CE, detecting upstream or downstream vascular lesions may also be clinically significant. This study aimed to develop and test a convolutional neural network (CNN)-based model for panendoscopic automatic detection of vascular lesions during CE.

CLINICAL AND FUNCTIONAL EVALUATION OF WRISTS AND HANDS OF SPINAL CORD INJURED PATIENTS.

Introduction: The inability of the spinal cord to propagate sensory and motor stimuli as a result of the disruption of the nerve tracts is called spinal cord injury.

Objective: This study analyzes clinically and radiologically the hands and wrists of spinal cord injured patients, evaluating their motor and sensitive functionality, in order to determine if these patients are more likely to develop degenerative alterations.

Methods: 14 patients (8 paraplegics and 6 tetraplegics) were evaluated, undergoing anamnesis and clinical examination - a scale of muscular strength (MRC - Medical Research Council) and the amplitude measurement of the movement with a manual goniometer (ROM), were used for objective evaluation - and x-ray exams.