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Background: Delayed cerebral ischemia (DCI) is a primary contributor to death after subarachnoid hemorrhage (SAH), with significant incidence. Therefore, early determination of the risk of DCI is an urgent need. Machine learning (ML) has received much attention in clinical practice.
View Article and Find Full Text PDFRegistration of deaths in children under five years of age has improved in Mexico, however, the underreporting has not yet been eliminated.
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Progressive supranuclear palsy: an updated approach on diagnosis, treatment, risk factors and outlook in Mexico.
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Laboratorio de Reprogramación Celular y Enfermedades Crónico-Degenerativas, Department of Physiology, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Progressive supranuclear palsy (PSP) is a rare, atypical parkinsonism, characterized by the presence of intracerebral tau protein aggregates and determined by a wide spectrum of clinical features. The definitive diagnosis is postmortem and is identified through the presence of neuronal death, gliosis, and aggregates of the tau protein presented in the form of neurofibrillary tangles (MNF) with a globose appearance in regions such as the subthalamic nucleus, the substantia nigra, and the globus pallidus The findings in ancillary imaging studies, as well as fluids biomarkers, are not sufficient to support diagnosis of PSP but are used to rule out similar pathologies because there are still no specific or validated biomarkers for this disease. The current treatment of PSP is focused on reducing symptoms, although emerging therapies seek to counteract its pathophysiological mechanisms.
View Article and Find Full Text PDFCryptic presentation: primary amoebic meningoencephalitis mimicking a high-grade malignancy resulting in surgical fatality within 48 hours. Illustrative case.
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View Article and Find Full Text PDFAnti-correlation of KLRG1 and PD-1 expression in human tumor CD8 T cells.
Oncotarget
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Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Recently, combination checkpoint therapy of cancer has been recognized as producing additive as opposed to synergistic benefit due in part to positively correlated effects. The potential for uncorrelated or negatively correlated therapies to produce true synergistic benefits has been noted. Whereas the inhibitory receptors PD-1, CTLA-4, TIM-3, LAG-3, and TIGIT have been collectively characterized as exhaustion receptors, another inhibitory receptor KLRG1 was historically characterized as a senescent receptor and received relatively little attention as a potential checkpoint inhibitor target.
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