Immunotherapy in gastric cancer-A systematic review.

Background: Gastric Cancer (GC) is the 5th most prevalent and 4th most deadly neoplasm globally. Immunotherapy has emerged as a promising treatment approach in GC, potentially improving positive clinical outcomes while addressing the limitations of conventional therapies. GC immunotherapy modalities consist of adoptive cell therapy (ACT), cancer vaccines, and immune checkpoint inhibitors (ICI).

Prescribed Hospital Diet Influence on Dietary Intake of Hospitalised Patients: A Cross-Sectional Study.

Background: The dietary intake of hospitalised patients is often compromised during hospitalisation, which can be a causal factor for hospital malnutrition. This is considered a public health problem worldwide and is associated with an increased risk of other complications.

Objectives: Our objective was to determine the dietary intake of hospitalised individuals and if the prescribed diet influences it.

Synthesis and Evaluation of Cytotoxic Activity of RuCp(II) Complexes Bearing (Iso)nicotinic Acid Based Ligands.

Background/objectives: Cancer remains one of the major challenges of our century. Organometallic ruthenium complexes are gaining recognition as a highly promising group of compounds in the development of cancer treatments.

Methods: Building on the auspicious results obtained for [Ru(η-CH)(PPh)(bipy)][CFSO] (TM34), our focus has shifted to examining the effects of incorporating bioactive ligands into the TM34 framework, particularly within the cyclopentadienyl ring.

Evaluating ChatGPT-4 for the Interpretation of Images from Several Diagnostic Techniques in Gastroenterology.

Several artificial intelligence systems based on large language models (LLMs) have been commercially developed, with recent interest in integrating them for clinical questions. Recent versions now include image analysis capacity, but their performance in gastroenterology remains untested. This study assesses ChatGPT-4's performance in interpreting gastroenterology images.

Explainable AI in Digestive Healthcare and Gastrointestinal Endoscopy.

An important impediment to the incorporation of artificial intelligence-based tools into healthcare is their association with so-called black box medicine, a concept arising due to their complexity and the difficulties in understanding how they reach a decision. This situation may compromise the clinician's trust in these tools, should any errors occur, and the inability to explain how decisions are reached may affect their relationship with patients. Explainable AI (XAI) aims to overcome this limitation by facilitating a better understanding of how AI models reach their conclusions for users, thereby enhancing trust in the decisions reached.

Colorimetric analysis of intraoral scans: A novel approach for detecting gingival inflammation.

Background: Gingivitis, a widely prevalent oral health condition, affects up to 80% of the population. Traditional assessment methods for gingivitis rely heavily on subjective clinical evaluation. This study seeks to explore the efficacy of interpreting the color metrics from intraoral scans to objectively differentiate between healthy and inflamed gingiva.

Artificial intelligence as a transforming factor in motility disorders-automatic detection of motility patterns in high-resolution anorectal manometry.

High-resolution anorectal manometry (HR-ARM) is the gold standard for anorectal functional disorders' evaluation, despite being limited by its accessibility and complex data analysis. The London Protocol and Classification were developed to standardize anorectal motility patterns classification. This proof-of-concept study aims to develop and validate an artificial intelligence model for identification and differentiation of disorders of anal tone and contractility in HR-ARM.

The Effect of Nutritional Intervention in Nutritional Risk Screening on Hospitalised Lung Cancer Patients.

Background: Lung cancer (LC) patients are prone to suffer from malnutrition. Malnutrition negatively affects patients' response to therapy, increases the incidence of treatment-related side effects, and decreases survival. Early identification of LC patients who are malnourished or at risk of malnutrition can promote recovery and improve prognosis.

Immunotherapy in Penile Cancer: A Systematic Review.

Penile cancer (PeCa) ranks as the 30th most prevalent cancer globally, predominantly affecting populations in developing countries. Phimosis and Human Papillomavirus (HPV) infection are recognized as the primary risk factors. Early-stage diagnosis typically warrants limited excision or non-invasive therapies.

Using music to reduce anxiety and stress in patients undergoing coronary angioplasty: A randomized clinical trial protocol.

In the current health context, there is a widespread increase in chronic non-communicable diseases that predominantly affect the cardiovascular system. Recent epidemiological data in Brazil indicate a rise in these diseases, which can result in severe harm to patients, including death. This study aims to present a study protocol to evaluate the effect of music in reducing anxiety and stress in patients undergoing coronary angioplasty.

Contrasting Weather and Stocking Effects on Initial Coppice Response in Brazil.

In plantations, coppice rotations often yield less than initial rotations. The TECHS project (Tolerance of Clones to Hydric, Thermal and Biotic Stresses) studied short rotation coppicing across a 3000 km gradient. The main objective of this work was to compare the survival, sprouting, and initial growth of clones managed and to examine factors that might influence the productivity of the coppice rotation: climate, genotypes, and stocking.

Selective Outcome Reporting Bias in Randomized Controlled Trials on Dental Caries in Children and Adolescents: A Meta-Research Study.

Introduction: Selective outcome reporting (SOR) is a bias that can occur in randomized controlled trials (RCTs), defined as the alteration or omission of primary outcome in the publication compared to the original protocol. Researchers may modify outcomes to highlight statistically significant results. This study aimed to assess the prevalence of SOR in RCTs related to dental caries in children and adolescents.

Do randomised clinical trials on dental caries adopt Open Science practices?

Background: Open Science Practices (OSPs) are essential when assessing research integrity and quality of Randomised Clinical Trials (RCTs). As dental caries represents a significant oral health burden, our objective was to identify and analyse the adoption of OSPs within RCTs focused on addressing this disease.

Methods: We searched PubMed to retrieve RCTs related to dental caries published from January 2000 to March 2022.

Micropropagation and in vitro rejuvenation of F. Muell.

Micropropagation is an important tool for the propagation for recalcitrant species, like This is a first reported about a complete study of the , it includes the vegetative rescue protocol of mature trees, its micropropagation up to the implementation of a mini-garden and clonal micro-garden and evaluation of adventitious rooting of their propagules. The in vitro rejuvenation of genotypes (03, 05, 06, 13 and 15), over 21 successive subcultures, was evaluated by comparing minicutting and microcutting techniques and the efficiency of this biotechnological tool for cloning of the mature trees. The results provide evidence of the in vitro rejuvenation occurring in the mature trees during micropropagation, leading to increases in the multiplication ratios of the microstumps of three genotypes (03, 05 and 15).

How to validate a Bayesian evolutionary model.

Biology has become a highly mathematical discipline in which probabilistic models play a central role. As a result, research in the biological sciences is now dependent on computational tools capable of carrying out complex analyses. These tools must be validated before they can be used, but what is understood as validation varies widely among methodological contributions.

Feeding Platforms as an Effective Strategy to Prevent the Consumption of Refuse by Urban Populations of Capuchin Monkeys (Sapajus libidinosus).

The availability of manmade foodstuffs in the environment may significantly alter the diets, behavior and health of wild animals and the ecosystems ecology. One of the principal problems faced by urban populations of capuchin monkeys is their contact with household refuse, which may provoke a number of impacts on the health of these animals. The present study tested the use of feeding platforms as a strategy to reduce the consumption of unhealthy foodstuffs by these animals and analyzed the influence of this measure on the activity patterns and social interactions of the study groups.

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.

[Minimally invasive caries treatment].

The development of minimally invasive caries treatment has dramatically changed dentistry. Instead of traditional, often invasive methods that resulted in significant loss of healthy dental tissue, this approach focuses on preserving the vitality of the pulp and minimizing tissue loss by delaying and scaling back restorative treatments. This involves the use of modern methods, with selective caries removal with or without indirect (pulp) capping being the norm for treating extensive lesions.