Publications by authors named "Angel Honrado"
Article Synopsis
- Immunization of pregnant women is an important public health approach aimed at reducing health risks for both mothers and infants.
- The safety and effectiveness of vaccines for this population often require combining interventional and observational study methods, involving large groups of participants to identify rare side effects.
- Challenges in enrolling pregnant women, especially in low- and middle-income countries, include regulatory uncertainties, lack of data, recruitment difficulties, and inconsistencies in research methods, which can be addressed through better study designs, tailored recruitment strategies, and standardized data collection.
Immunization in pregnancy provides a promising contribution to globally reducing neonatal and under-five childhood mortality and morbidity. Thorough assessment of benefits and risks for the primarily healthy pregnant women and their unborn babies is required. The GAIA project was formed in response to the call of the World Health Organization for a globally concerted approach to actively monitor the safety of vaccines and immunization in pregnancy programs.
View Article and Find Full Text PDFMedicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions.
View Article and Find Full Text PDFSEMCARE: Multilingual Semantic Search in Semi-Structured Clinical Data.
Stud Health Technol Inform
April 2017
The vast amount of clinical data in electronic health records constitutes a great potential for secondary use. However, most of this content consists of unstructured or semi-structured texts, which is difficult to process. Several challenges are still pending: medical language idiosyncrasies in different natural languages, and the large variety of medical terminology systems.
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