MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment.

Background: Cardiovascular diseases (CVD) cause 19 million fatalities each year and cost nations billions of dollars. Surrogate biomarkers are established methods for CVD risk stratification; however, manual inspection is costly, cumbersome, and error-prone. The contemporary artificial intelligence (AI) tools for segmentation and risk prediction, including older deep learning (DL) networks employ simple merge connections which may result in semantic loss of information and hence low in accuracy.

Design and Evaluation of a Novel Venturi-Based Spirometer for Home Respiratory Monitoring.

The high cost and limited availability of home spirometers pose a significant barrier to effective respiratory disease management and monitoring. To address this challenge, this paper introduces a novel Venturi-based spirometer designed for home use, leveraging the Bernoulli principle. The device features a 3D-printed Venturi tube that narrows to create a pressure differential, which is measured by a differential pressure sensor and converted into airflow rate.

Lyme disease in companion animals: an updated state-of-art and current situation in Portugal.

Lyme disease (LD) is a globally distributed zoonotic multisystemic condition caused by gram-negative spirochete bacteria of the Borrelia burgdorferi complex, transmitted through tick bites. Research on LD in domestic animals in Portugal is limited, potentially leading to underestimating its prevalence. This disease affects many species, including humans, making it a critical public health issue.

Variable positive end-expiratory pressure in an experimental model of acute respiratory distress syndrome: an advanced ventilation modality.

Background: Introducing variability in tidal volume, ventilatory frequency, or both is beneficial during mechanical ventilation in acute respiratory distress syndrome (ARDS). We investigated whether applying cycle-by-cycle variability in the positive end-expiratory pressure (PEEP) exerts beneficial effect on lung function in a model of ARDS.

Methods: Rabbits with lung injury were randomly allocated to receive mechanical ventilation for 6 h by applying a pressure-controlled mode with constant PEEP of 7 cm HO (PC group: =6) or variable PEEP (VEEP) with a coefficient of variation of 21.

3D-printed aerogels as theranostic implants monitored by fluorescence bioimaging.

Aerogel scaffolds are nanostructured materials with beneficial properties for tissue engineering applications. The tracing of the state of the aerogels after their implantation is challenging due to their variable biodegradation rate and the lack of suitable strategies capable of monitoring the scaffolds. Upconversion nanoparticles (UCNPs) have emerged as advanced tools for bioimaging because of their fluorescence properties.

Deep learning for automatic calcium detection in echocardiography.

Cardiovascular diseases are the main cause of death in the world and cardiovascular imaging techniques are the mainstay of noninvasive diagnosis. Aortic stenosis is a lethal cardiac disease preceded by aortic valve calcification for several years. Data-driven tools developed with Deep Learning (DL) algorithms can process and categorize medical images data, providing fast diagnoses with considered reliability, to improve healthcare effectiveness.

Artificial intelligence integration in the drug lifecycle and in regulatory science: policy implications, challenges and opportunities.

Artificial intelligence tools promise transformative impacts in drug development. Regulatory agencies face challenges in integrating AI while ensuring reliability and safety in clinical trial approvals, drug marketing authorizations, and post-market surveillance. Incorporating these technologies into the existing regulatory framework and agency practices poses notable challenges, particularly in evaluating the data and models employed for these purposes.

Role of myocardial microRNAs in the long-term ventricular remodelling of patients with aortic stenosis.

Aims: We hypothesize that miRs are key players in the dynamics of the hypertrophy phenotype in aortic stenosis (AS) patients. In our study, we aimed to identify the transcriptional patterns (protein-coding transcripts and miRs) from myocardial sample biopsies that could be associated with the absence of left ventricular (LV) mass regression after aortic valve replacement (AVR) in patients with severe AS and LV hypertrophy.

Methods And Results: We prospectively included 40 patients with severe AS, LV hypertrophy, and preserved ejection fraction undergoing AVR.

Naming hypoglycemia: a narrative tool for young people with type 1 diabetes and their families.

Objective: Hypoglycemia constitutes a communication barrier between youth with type 1 diabetes, their family members and health professionals. A narrative tool may contribute to a more effective communication.

Methods: Semi-structured interviews with six open-ended questions using narrative techniques collect and analyze (thematic and comparative analysis) different ways of "naming" the lived experience of hypoglycemia.

Validation of the Portuguese version of the diabetes self-management questionnaire-revised (DSMQ-R) in people with type 2 diabetes mellitus.

Background: Reflecting people with diabetes' self-management activities is often required in both research and clinical practice. This study evaluated the measurement properties of the Portuguese version of the Diabetes Self-Management Questionnaire-Revised (DSMQ-R) on a sample of people with type 2 diabetes mellitus (T2DM).

Methods: Translation and cultural adaptation were conducted according to guidelines for cross-cultural adaptation and validation of healthcare measurement instruments.

Match running performance is influenced by possession and team formation in an English Premier League team.

The aim of this study was to examine the possession (very low, low, high, and very high), team formation (3-5-2 and 4-3-3) and position (centre-backs, full-backs, centre midfielders, attacking midfielders, and centre forwards) on match load across two consecutive seasons in elite soccer. Twenty-seven English Premier League outfield players were recruited. Data was monitored through an 18 Hz Global Positioning System and a 25 Hz semi-automated camera tracking system, respectively, and all variables were analysed per minute.

Pericardium, epicardial adipose tissue, and heart failure with preserved ejection fraction: Pathophysiology, quantification and treatment target.

Heart failure is an important cause of mortality and morbidity worldwide. Heart failure with preserved ejection fraction (HFpEF) incidence and prevalence is increasing, and the phenotype associated with obesity is the most frequent. Epicardial adipose tissue (EAT) is directly associated with systemic obesity and several previous studies have shown a clear link between EAT and HFpEF.

Characterization of expression patterns and dynamic relocation of Notch proteins during acrosome reaction of bull spermatozoa.

Notch is a conserved cell-signaling pathway involved in spermatogenesis regulation. This study firstly evaluated the presence, localization patterns, acquisition origin and relation to acrosome reaction of Notch proteins in bull sperm. Western Blot analysis detected all Notch proteins in ejaculated bull sperm, and immunostaining described their specific sperm localization.

Analysis of the ESCRS calculator's prediction accuracy.

Purpose: To evaluate prediction accuracy of formulas included in the ESCRS online intraocular lens (IOL) calculator using standard keratometry (K) or total keratometry (TK).

Setting: Hospital-based academic practice.

Design: Retrospective case-series.