Results 91 to 100 of about 11,614 (223)
Patent ductus arteriosus treatment in the premature newborn: clinical and surgical analisys [PDF]
BACKGROUND: The surgical treatment of patency ductus arteriosus is indicated when the clinical intervention fails. However, this treatment may have some complications.
Bertini Júnior, Ayrton+7 more
core +4 more sources
ABSTRACT Background Common marmosets (Callithrix jacchus) have been widely used as laboratory animals; However, limited sedation and anesthetic protocols have yet to be established. In this study, the minimum alveolar concentration of an inhalant (isoflurane) and effective predicted plasma concentration of an injectable anesthetic (propofol) were ...
Kanako Muta+9 more
wiley +1 more source
Model of single-sized endotracheal tube for adults
Objective To simulate different diameters of endotracheal tubes and to verify the fluid dynamics aspects by means of flow and resistance measurements.
Luiz Guilherme Calderon+3 more
doaj +2 more sources
The soft, stretchable cardiac patch with a bifacial hydrogel‐elastomer architecture is developed featuring an adhesive, low‐impedance hydrogel side for efficient tissue interfacing and a nonadhesive, strain‐insensitive conductive elastomer side for selective electrical signal transfer.
Jeeyoung Kim+5 more
wiley +1 more source
Background and Aims: Orotracheal intubation (OTI) with fiberoptic bronchoscope (FOB) in spontaneous ventilation is one of the main techniques for patients with predicted difficult airway.
Julian Arevalo Ludena+3 more
doaj +1 more source
Novel imaging revealing inner dynamics for cardiovascular waveform analysis via unsupervised manifold learning [PDF]
Cardiovascular waveforms contain information for clinical diagnosis. By "learning" and organizing the subtle change of waveform morphology from large amounts of raw waveform data, unsupervised manifold learning helps delineate a high-dimensional structure and display it as a novel three-dimensional (3D) image.
arxiv
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients [PDF]
Machine Learning (ML) models typically require large-scale, balanced training data to be robust, generalizable, and effective in the context of healthcare. This has been a major issue for developing ML models for the coronavirus-disease 2019 (COVID-19) pandemic where data is highly imbalanced, particularly within electronic health records (EHR ...
arxiv
Residual tumor cells that drive disease relapse after chemotherapy do not have enhanced tumor initiating capacity. [PDF]
Although chemotherapy is used to treat most advanced solid tumors, recurrent disease is still the major cause of cancer-related mortality. Cancer stem cells (CSCs) have been the focus of intense research in recent years because they provide a possible ...
de la Cruz, Cecile+5 more
core +2 more sources
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction [PDF]
The rapid spread of COVID-19 cases in recent months has strained hospital resources, making rapid and accurate triage of patients presenting to emergency departments a necessity. Machine learning techniques using clinical data such as chest X-rays have been used to predict which patients are most at risk of deterioration.
arxiv
Predicting Extubation Readiness in Extreme Preterm Infants based on Patterns of Breathing [PDF]
Extremely preterm infants commonly require intubation and invasive mechanical ventilation after birth. While the duration of mechanical ventilation should be minimized in order to avoid complications, extubation failure is associated with increases in morbidities and mortality.
arxiv