Publications by authors named "C E 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.
View Article and Find Full Text PDFBackground: Predicting mortality and specific morbidities before they occur may allow for interventions that may improve health trajectories.
Hypothesis: Integrating key maternal and postnatal infant variables in the first 2 weeks of age into machine learning (ML) algorithms will reliably predict survival and specific morbidities in VLBW preterm infants.
Methods: ML algorithms were developed to integrate 47 features for predicting mortality, bronchopulmonary dysplasia (BPD), neonatal sepsis, necrotizing enterocolitis (NEC), intraventricular hemorrhage (IVH), cystic periventricular leukomalacia (PVL), and retinopathy of prematurity (ROP).
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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