Publications by authors named "L Catalina Cabrera"

As many as one in three people worldwide have anemia, with young children at increased risk of both disease and complications. In settings without clinical laboratories, portable hemoglobinometers serve important roles in diagnosing anemia and estimating prevalence. Here, we assess the validity of two such point-of-care devices-the HemoCue Hb201 and the HemoCue Hb301-relative to the international reference standard, the cyanmethemoglobin method.

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Article Synopsis
  • * An online survey was conducted among members of the Functional Neurosurgery Working Group to gather data on programming practices, revealing that common strategies include using traditional monopolar review and modifying amplitude for various symptoms.
  • * Results indicate that while initial programming generally follows published recommendations, there are notable inconsistencies in approaches for specific symptoms, highlighting the need for more research in areas of variability.
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Palytoxin (PTX or PLTX), a potent and rare marine toxin derived from certain coral species, poses significant risks to human health upon exposure, including the development of acute respiratory distress syndrome. We present a case report detailing the experiences of two expert marine biologists who inadvertently came into contact with palytoxin while handling marine organisms in a controlled environment. Shortly after exposure, both biologists developed severe keratoconjunctivitis, characterized by acute inflammation of the conjunctiva and cornea.

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Artificial intelligence (AI) and machine learning (ML) tools are now proliferating in biomedical contexts, and there is no sign this will slow down any time soon. AI/ML and related technologies promise to improve scientific understanding of health and disease and have the potential to spur the development of innovative and effective diagnostics, treatments, cures, and medical technologies. Concerns about AI/ML are prominent, but attention to two specific aspects of AI/ML have so far received little research attention: synthetic data and computational checklists that might promote not only the reproducibility of AI/ML tools but also increased attention to ethical, legal, and social implications (ELSI) of AI/ML tools.

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Helicobacter pylori is a bacterium that infects approximately half of the world's population, being more prevalent in low- and middle-income countries. H. pylori can cause gastritis, peptic ulcer disease, mucosa-associated lymphoid tissue lymphoma, and gastric cancer, which is among the five most frequent cancers worldwide.

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