Publications by authors named "L Mendoza Solorzano"
Background: Individuals identifying as Black, American Indian or Alaska Native, or Hispanic or Latino lack access to culturally appropriate accurate information and are the target of disinformation campaigns, which create doubt in science and health care providers and might play a role in sustaining health disparities related to the COVID-19 pandemic.
Objective: This study aims to create and disseminate culturally and medically appropriate social media messages for Black, Latino, and American Indian or Alaska Native communities in Wisconsin and evaluate their reach and effectiveness in addressing the information needs of these communities.
Methods: Our team identified relevant COVID-19 topics based on feedback from their respective community, developed lay format materials, and translated materials into culturally appropriate social media messages that community advocates delivered across their respective communities.
Inorganic sources of Mg are commonly used in dairy cow diets, but their availability varies significantly. This study assessed the relative availability of 4 commonly used inorganic Mg sources and a novel alkalinizing proprietary mineral blend (PMB; Multesium; GLC Minerals LLC, Green Bay, WI). The study was a duplicated 6 × 6 Latin square, with 12 nonlactating, nonpregnant Holstein dairy cows assigned to a square based on BW and parity.
View Article and Find Full Text PDFAccurate detection of invasive breast cancer (IC) can provide decision support to pathologists as well as improve downstream computational analyses, where detection of IC is a first step. Tissue containing IC is characterized by the presence of specific morphological features, which can be learned by convolutional neural networks (CNN). Here, we compare the use of a single CNN model versus an ensemble of several base models with the same CNN architecture, and we evaluate prediction performance as well as variability across ensemble based model predictions.
View Article and Find Full Text PDFArticle Synopsis
- The alignment of tissue in whole-slide images (WSI) is essential for both research and clinical purposes, and recent advancements in computing and deep learning have changed how these images are analyzed.
- The ACROBAT challenge was organized to evaluate various WSI registration algorithms using a large dataset of 4,212 WSIs from breast cancer patients, aiming to align tissue stained with different methods.
- The study found that various WSI registration methods can achieve high accuracy and identified specific clinical factors that affect their performance, helping researchers choose and improve their analysis techniques.
Trends in primary percutaneous coronary intervention for the treatment of acute coronary ST-elevation myocardial infarction in Latin American countries: insights from the CECI consortium.
Front Cardiovasc Med
May 2024
Article Synopsis
- The study focused on STEMI treatment through primary percutaneous coronary interventions (pPCI) across nine medical centers in five Latin American countries from June 2021 to June 2023.
- Out of 744 STEMI patients, 76.3% received pPCI, achieving a high procedural success rate of 96.2%, with an overall in-hospital mortality rate of 2.2%.
- The study also looked at various patient subgroups, including those with cardiogenic shock and different timing of intervention methods, revealing consistent outcomes across regions and centers.