Soft Gels in Food Systems: Recent Advances, Applications, and Technological Innovations.

Soft gels, such as hydrogels, organogels, aerogels, and bigels, represent versatile materials that are increasingly utilized within food systems to modify texture, regulate nutrient delivery, serve as fat substitutes, and enhance product shelf life. Their structural diversity and tunable properties enable targeted solutions for healthier, more sustainable, and consumer-centric products. This review provides a critical overview of recent advances in soft gel science, emphasizing industrial feasibility, regulatory compliance, and strategies to overcome commercialization barriers such as cost, scalability, and consumer acceptance.

Improving Clinically Significant Prostate Cancer Detection with a Multimodal Machine Learning Approach: A Large-Scale Multicenter Study.

Purpose To develop and prospectively validate a clinical and radiologic model to predict clinically significant prostate cancer (csPCa) using biparametric MRI (bpMRI). Materials and Methods Retrospective data (acquired before March 31, 2022) from 12 medical centers were collected. Radiomic features were extracted from the whole prostate gland using segmentations generated by an automatic deep learning algorithm.

Psychoeducation Group for Depression (PEG-D): Study protocol for a prospective, randomized, single-blind, crossover trial.

Background: Considered a leading contributor to the global health burden, depression is characterized by its multifaceted nature. Recognizing the limitations of pharmacological treatments, non-pharmacological alternatives have been suggested to enhance full remission and increase quality of life.

Aim: To contribute to this field, we aim to develop and investigate the efficacy of a short psychoeducational program as an adjunctive treatment for depression.

Priority setting for improved influenza vaccines: a multi-criteria decision analysis.

Background/objective: Seasonal influenza vaccines reduce global morbidity and mortality but remain underused in low- and middle-income countries (LMICs). This study was part of the World Health Organization's Full Value of Improved Influenza Vaccines Assessment (FVIVA) and explored LMIC decision-makers' priorities and preferences for improved influenza vaccines (IIVs) to enhance their adoption.

Methods: A multi-criteria decision analysis (MCDA) to evaluate IIVs was conducted in Kenya and Thailand.

Subclonal loss of DNA mismatch repair proteins in endometrial carcinomas: an unusual pattern with distinct molecular characteristics.

Objective: Subclonal loss of mismatch repair (MMR) proteins in endometrial carcinoma has recently been identified through immunohistochemistry (IHC) evaluations, characterized by discrete areas of tumors with complete loss of nuclear expression adjacent to tumor cells with retaining expression. Controversies persist regarding reporting findings and managing such cases. Therefore, we conducted a detailed clinicopathological and molecular analysis on a large cohort of endometrial carcinoma cases with subclonal loss of MMR proteins to explore potential reclassification into different molecular categories that could influence diagnostic and treatment strategies.

Application of encapsulated tomato by-product extract as a colorant in mascarpone.

Agricultural by-products, often underutilized, represent a significant opportunity to obtain sustainable value-added products to develop new functional foods. In this context, the (typically discarded) aerial parts of tomato plants (Solanum lycopersicum L. var.

Phenotypic Heterogeneity of 16p11.2 Microdeletion Syndrome: 5 Case Reports.

Introduction16p11.2 microdeletion syndrome is a rare genetic condition with wide clinical heterogeneity Individuals may present a normal phenotype or neurodevelopmental pathology, often associated with nonspecific dysmorphology, epilepsy, cardiac anomalies and obesity, among other characteristics.Clinical CasesCase 1: Male, 11-year-old, with macrocephaly from 4 months, obesity from 2 years, and speech delay; currently diagnosed with intellectual developmental disorder.

Antioxidant and antibacterial properties of Pituranthos scoparius extracts in alginate/gelatin matrix for pumpkin preservation.

Recent research efforts have increasingly focused on the development of environmentally sustainable, bio-based antimicrobial and antioxidant films as alternatives to conventional plastics, which pose significant environmental and biological hazards. In this study, gelatin derived from chicken feet was combined with essential oils, ethanolic extracts from the plant Pituranthos scoparius (PS), and alginate to fabricate films with enhanced antimicrobial and antioxidant properties. A total of six film formulations, including controls, were produced, and their physicochemical and mechanical characteristics, as well as antimicrobial and antioxidant activities, were systematically evaluated.

HERON: High-Efficiency Real-Time mOtion quantification and re-acquisitioN for Fetal diffusion MRI.

Fetal diffusion MRI (dMRI) provides fascinating and clinically crucial insights into the microstructure of the human brain during development, but is highly sensitive to motion artifacts of fetal movement and maternal breathing, which impact data quality and limit diagnostic accuracy. This study introduces HERON, a robust, real-time, automatic pipeline designed to enhance fetal brain dMRI by performing motion assessment and re-acquisition. HERON leverages AI-driven brain localization, segmentation, and motion assessment on a clinical 0.

The RNA-binding protein YTHDF3 affects gastric cancer cell migration and response to paclitaxel by regulating EZRIN.

Background: Gastric cancer (GC) is the fourth most common cause of cancer-related mortality and the fifth most common cancer worldwide. Despite efforts, the identification of biomarkers and new therapeutic approaches for GC remains elusive. Recent studies have begun to reveal the role of N6-adenosine methylation (mA) in the regulation of gene expression.

Alginate Edible Films Containing Essential Oils: Characterization and Bioactive Potential.

Essential oils (EOs) are natural substances rich in phenolic compounds with notable antimicrobial and antioxidant properties. However, they present some limitations, such as low stability and bioavailability. Incorporating EOs into polymeric films offers a novel approach to overcome these challenges while enhancing their efficacy.

Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector.

Despite being one of the most prevalent cancers, prostate cancer (PCa) shows a significantly high survival rate, provided there is timely detection and treatment. Currently, several screening and diagnostic tests are required to be carried out in order to detect PCa. These tests are often invasive, requiring either a biopsy (Gleason score and ISUP) or blood tests (PSA).

Automatic flow planning for fetal cardiovascular magnetic resonance imaging.

Background: Widening access to fetal flow imaging by automating real-time planning of two-dimensional (2D) phase-contrast flow imaging (OWL).

Methods: Two subsequent deep learning networks for fetal body localization and cardiac landmark detection on a coronal whole-uterus scan were trained on 167 and 71 fetal datasets, respectively, and implemented for real-time automatic planning of phase-contrast sequences. OWL was evaluated retrospectively in ten datasets and prospectively in seven fetal subjects (36+3-39+3 gestational weeks), with qualitative and quantitative comparisons to manual planning.

Machine learning combined with infrared spectroscopy for detection of hypertension pregnancy: towards newborn and pregnant blood analysis.

Biochemical changes in the cervix during labor are not well understood. This gap in knowledge is significant, as understanding the precise biochemical processes can provide critical insights into the mechanisms of labor and potentially inform better clinical practices for monitoring and managing pregnancy and childbirth. Fourier-transform infrared (FT-IR) spectroscopy as a non-invasive optical technique, it has the potential sensibility to detect biochemical components.

Photosynthetic microorganisms as an alternative source of thrombolytic compounds: a systematic review.

Current conventional thrombolytic drugs have some limitations, including a short half-life, several adverse effects, low fibrin specificity, and high cost. Therefore, new thrombolytic sources have been widely investigated worldwide. In this sense, this work aims to evaluate the state of the art of the thrombolytic potential of different bioactive compounds produced from microalgae and cyanobacteria.

A 3D-printed modular implant for extracellular recordings.

Background: Chronic implants for neural data acquisition must meet several criteria that can be difficult to integrate. Surgical procedures should be as short as possible to reduce unnecessary stress and risks, yet implants must precisely fit to the location of interest and last long periods of time. Implants also must be lightweight but stable enough to withstand the subject's daily life and experimental needs.

Exploring the Effects of Sweet Potato Leaves on Skin Health-From Antimicrobial to Immunomodulator.

Sweet potato leaves (SPL), an agricultural byproduct, hold significant potential in dermatological applications due to their bioactive compounds. This study evaluates the phenolic profile of SPL extracts and investigates their biological activities relevant to skin health. Extract fingerprinting, through uHPLC-DAD and LC-MS, identified phenolic acids and flavonoids, with cynarin, neochlorogenic acid, and spiraeoside being predominant.

Perception of Quality of Life by Primary Caregivers of Children with Congenital Zika Syndrome: a Cross-Sectional Study.

Objective: The study aimed to evaluate the quality of life (QoL) of caregivers of children diagnosed with CZS and to assess the association of findings with socioeconomic and CZS-associated variables.

Methods: This was a cross-sectional, quantitative study, carried out over three days of multidisciplinary care for patients with CZS. Sixty-four participants underwent a quality of life assessment using the World Health Organization Quality of Life questionnaire (WHOQOL-BREF) in Portuguese.

Impact of Scanner Manufacturer, Endorectal Coil Use, and Clinical Variables on Deep Learning-assisted Prostate Cancer Classification Using Multiparametric MRI.

Purpose To assess the effect of scanner manufacturer and scanning protocol on the performance of deep learning models to classify aggressiveness of prostate cancer (PCa) at biparametric MRI (bpMRI). Materials and Methods In this retrospective study, 5478 cases from ProstateNet, a PCa bpMRI dataset with examinations from 13 centers, were used to develop five deep learning (DL) models to predict PCa aggressiveness with minimal lesion information and test how using data from different subgroups-scanner manufacturers and endorectal coil (ERC) use (Siemens, Philips, GE with and without ERC, and the full dataset)-affects model performance. Performance was assessed using the area under the receiver operating characteristic curve (AUC).

Putting gluten back on menu - Safety assessment of polyphenol-rich wheat varieties in Celiac Disease.

This study provides a comprehensive proteomic and metabolomic analysis of novel anthocyanin- and carotenoid-rich wheat varieties to assess their immunogenicity in the context of Celiac Disease. Using (semi)-quantitative mass spectrometry, the research found that gliadin expression and peptide release, particularly those containing immunostimulatory γ-gliadin epitopes, vary significantly across different wheat varieties. While non-targeted mass spectrometry provided valuable insights, the study acknowledged potential methodological biases, such limitations of ion current intensity as a measure of peptide abundance.

Vehicle-to-Vehicle Flooding Datasets using MK5 On-board Unit Devices.

The availability of information is a key requirement for the proper functioning of any network. When the availability problem is brought to vehicular networks, it may hinder novel vehicular services and applications and potentially put human lives at risk, as malicious users can send a massive number of spurious packets to disrupt them. Although flooding attacks in vehicular contexts have been the focus of attention of the research community, most proposed datasets are generated using simulated data and only contain the modeled network's behavior.

The Role of Unsaturated Fatty Acid-Rich Dairy Products in Adipocyte Metabolism.

This study investigated the fatty acid profile, permeability, and metabolic effects of a functional yogurt enriched with pomegranate oil, focusing on its impact on lipid metabolism and inflammatory responses. The yogurt's fatty acid composition was primarily composed of long-chain polyunsaturated fatty acids (54.37%), followed by saturated (29.

Enhancing Medium-Chain Fatty Acid Delivery Through Bigel Technology.

This study presents the development and characterization of medium-chain fatty acid (MCFA)-loaded bigels, using coconut oil as the MCFA source. The bigels exhibited high oil binding capacity, ranging from 87% to 98%, effectively retaining MCFAs within the matrix, with lauric acid (C12) being the main component detected within the bigels at 178.32 ± 0.

Amanita-Induced Hepatitis.

The consumption of wild mushrooms can be associated with poisoning, particularly with species containing hepatotoxic toxins such as amatoxin, present in more than 35 species. We present a case of Amanita-induced hepatitis in a 73-year-old man after ingestion of wild mushrooms. He presented to the emergency department (ED) with severe diarrhea, intense abdominal pain, and vomiting, with onset approximately six hours after ingestion of wild mushrooms.