Artificial intelligence applied in identifying left ventricular walls in myocardial perfusion scintigraphy images: Pilot study.

This paper proposes the use of artificial intelligence techniques, specifically the nnU-Net convolutional neural network, to improve the identification of left ventricular walls in images of myocardial perfusion scintigraphy, with the objective of improving the diagnosis and treatment of coronary artery disease. The methodology included data collection in a clinical environment, followed by data preparation and analysis using the 3D Slicer Platform for manual segmentation, and subsequently, the application of artificial intelligence models for automated segmentation, focusing on the efficiency of identifying the walls of the left ventricular. A total of 83 clinical routine exams were collected, each exam containing 50 slices, which is 4,150 images.

Bioactive silicon-based dental gel associated with a calcium booster for dentin hypersensitivity treatment: A randomized clinical study.

Background: Dentin hypersensitivity affects a significant portion of the world's population, causing pain and negatively impacting oral health and quality of life This clinical study investigated the effectiveness of a desensitizing fluoride silicon-rich dental gel associated with a calcium booster.

Material And Methods: In this single-blind, randomized, parallel-group clinical trial, forty-eight volunteers diagnosed with dentin hypersensitivity and qualified to participate were randomized into 2 groups: (1) fluoride silicon-rich dental gel (REFX Technology)/calcium booster (Si/Ca protocol); (2) Pumice stone diluted in saline. A draw was carried out between the right and left sides of the patients so that either a prophylaxis with the dental gel associated with calcium or with fine pumice stone diluted in saline was carried out.

Brain Age Modeling and Cognitive Outcomes in Young Adults With and Without Sickle Cell Anemia.

Importance: Both sickle cell anemia (SCA) and socioeconomic status have been associated with altered brain structure and cognitive disability, yet precise mechanisms underlying these associations are unclear.

Objective: To determine whether brains of individuals with and without SCA appear older than chronological age and if brain age modeling using brain age gap (BAG) can estimate cognitive outcomes and mediate the association of socioeconomic status and disease with these outcomes.

Design, Setting, And Participants: In this cross-sectional study of 230 adults with and without SCA, individuals underwent brain magnetic resonance imaging (MRI) and cognitive assessment.

Harnessing nature's palette: Exploring photosynthetic pigments for sustainable biotechnology.

Photosynthetic microorganisms such as cyanobacteria, microalgae, and anoxygenic phototrophic bacteria (APB) have emerged as sustainable and economic biotechnology platforms due to their ability to transform energy from light into chemicals through photosynthesis. The light is absorbed by photosynthetic pigment-protein antenna complexes which are composed of pigments such as bacteriochlorophylls (BChl) and carotenoids in APB, and chlorophylls (Chl), phycobiliproteins (PBP), and carotenoids in cyanobacteria and microalgae. These photosynthetic pigments are essential in the physiology of photosynthetic microorganisms and offer significant health benefits due to their potent antioxidant activity, with properties that include anticancer, antiaging, antiproliferative, anti-inflammatory, and neuroprotective effects.