Publications by authors named "M D Bano Rodrigo"
This paper addresses a critical gap in family research by examining the risk of families with young children receiving the Minimum Living Income (MLI) in rejecting targeted social interventions, also known as non-take-up (NTU). We analyze recruting process data from the first invitation to participate in a social benefit including the "Growing Happily in the Family-2" program developed in Madrid, Spain, to their written consent prior to its implementation. Measurements of subjective factors reported as reasons for NTU and objective factors of sociodemographic characteristics and detailed household patterns of prior engagement with social services to study NTU response were based on official records and project data.
View Article and Find Full Text PDFArticle Synopsis
- Large language models (LLMs) like ChatGPT struggle with private data interpretation, specifically electronic health records (EHRs), but prompt engineering could improve their accuracy.
- Through systematic testing of prompt techniques on 490 EHR notes, the study found that structured prompts significantly enhanced LLM accuracy from 64.3% to 91.4%, outperforming traditional natural language processing methods.
- The results indicate that LLMs, with proper prompt strategies, can effectively identify clinical insights from EHRs without requiring expert knowledge, suggesting potential applications in other fields for automated data analysis.
This work describes the application of electrochemically produced Caro's acid in a divided electrochemical flow cell for the removal of fourteen CECs from real effluent at a municipal wastewater treatment plant in Ciudad Real, Spain. The results are compared with direct dosing of the reagent (with an ionic/molecular oxidant) and radical-assisted oxidation (activated sulfate radical via photochemical oxidation or hydrogen peroxide-induced radical oxidation). This study sheds light on the underlying mechanisms of these processes.
View Article and Find Full Text PDFTriple-negative breast cancer (TNBC) is challenging to treat because of its lack of specific molecular targets. The IMMUNOPEG study aimed to evaluate a novel structured method for interpreting TNBC immunohistochemistry specimens processed with VENTANA PD-L1 (SP142) assay. The study involved 10 pathologists who evaluated 50 different immunohistochemistry specimens of TNBC with programmed death ligand 1 (PD-L1) expression considered challenging and that were previously evaluated by the scientific committee, using the NAVIFY Digital Pathology platform.
View Article and Find Full Text PDFBackground: Proteomic phenotyping can provide insights into rejection pathophysiology, novel biomarkers, and therapeutic targets.
Methods: Within the prospective, multicenter Genomic Research Alliance for Transplantation study, 181 proteins were evaluated from blood drawn at the time of endomyocardial biopsy; protein fold change, logistic regression, and pathway analyses were conducted, with protein discovery adjusted for a 5% false discovery rate.
Results: Among 104 adult heart transplant patients (31% female sex, 53% Black race, median age 52 y), 74 had no rejection, 18 developed acute cellular rejection (ACR), and 12 developed antibody-mediated rejection (AMR).