Publications by authors named "C C Espinosa"
Article Synopsis
- Translational biology emphasizes the connection between clinical phenotypes and biological profiles, helping to transform existing clinical data into actionable biological insights.
- Traditional computational tools struggle with small datasets and complex clinical data, but state-of-the-art foundation models can effectively analyze electronic health records (EHR) to generate detailed proteomics profiles for pregnant patients.
- This research identifies a proteomic signature related to gestational diabetes, highlighting the potential of using FM-derived EHR data to enhance disease understanding and improve therapeutic strategies in a more efficient and economical way.
This study examines seed germination strategies and seedling establishment in six tree species typical of seasonally dry tropical forests. We focused on how interspecific and intraspecific differences in seed size and germination speed influence biomass allocation and seedling growth. Using generalized linear models, we analyzed the effects of these traits on root/shoot ratios and growth rates.
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- The study aims to predict mortality and specific health issues in very low birth weight (VLBW) preterm infants using machine learning (ML) techniques applied to data collected in the first two weeks of life.
- A total of 47 variables were analyzed through various ML algorithms, with Random Forest and XGBoost showing the most effective performance in predicting several conditions like neonatal sepsis, necrotizing enterocolitis, and more.
- The findings highlight the potential for using predictive analytics in healthcare to facilitate timely interventions, ultimately improving survival rates and health outcomes for VLBW preterm infants.
Article Synopsis
- The study focuses on improving care transitions for heart failure patients by implementing an intervention called I-TRANSFER-HF, which combines early home health care (HHC) nurse visits with outpatient medical follow-up to reduce hospital readmissions.
- It employs a Hybrid Type 1, stepped wedge randomized trial design, involving multiple hospital and home health agency (HHA) pairs across the US, to measure the effectiveness of the intervention on readmission rates and patient outcomes.
- Additionally, the study aims to understand the factors affecting the implementation of I-TRANSFER-HF through qualitative interviews with key stakeholders, using the Consolidated Framework for Implementation Research 2.0 to guide the analysis.
The addition of nanoparticles has been presented as an alternative approach to counteract the degradation of polymeric solutions for enhanced oil recovery. In this context, a nanohybrid (NH34) of partially hydrolyzed polyacrylamide (MW ∼12 MDa) and nanosilica modified with 2% 3-aminopropyltriethoxysilane (nSiO-APTES) was synthesized and evaluated. NH34 was characterized by using dynamic light scattering, Fourier-transform infrared spectroscopy, and thermogravimetric analysis.
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