Publications by authors named "A C Nunes"

Unlabelled: Glioblastoma (GBM) is a highly aggressive and recurrent brain cancer characterized by diffuse metastasis at the tumor margins. Radiation therapy is a standard component of current treatment and offers potential for improved patient outcomes. While radiation therapy targets GBM cells in the tumor margins, it may also significantly damage adjacent non-cancerous tissues, leading to reduced quality of life and potentially creating a tumor-supportive microenvironment.

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Due to the extended period for clinical diagnosis, the etiology of endometriotic lesion initiation is not well understood or characterized. Endometriotic lesions are most often found on pelvic tissues and organs, especially the ovaries. To investigate the role of tissue tropism on ovarian endometrioma initiation, we adapted a well-characterized polyacrylamide microarray system to investigate the role of tissue-specific extracellular matrix and adhesion motifs on endometriotic cell attachment, morphology, and size.

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Background: Huntington's disease, a neurodegenerative disorder, impairs both upper and lower limb function, typically assessed in clinical settings. However, wearable sensors offer the opportunity to monitor real-world data that complements clinical assessments, providing a more comprehensive understanding of disease symptoms.

Methods: In this study, we monitor upper limb function in individuals with Huntington's disease (HD, n = 16), prodromal HD (pHD, n = 7), and controls (CTR, n = 16) using a wrist-worn wearable sensor over a 7-day period.

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Congenital syphilis (CS) is transmitted to the fetus through the transplacental route at any stage of gestation when the pregnant women are either untreated or inadequately treated. In this study, we aimed to analyze trends in epidemiological indicators of CS in Brazil. This is a cross-sectional study utilizing data on CS across Brazilian regions from 1 January 2012 to 31 December 2021.

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Quantitative analysis of human behavior is critical for objective characterization of neurological phenotypes, early detection of neurodegenerative diseases, and development of more sensitive measures of disease progression to support clinical trials and translation of new therapies into clinical practice. Sophisticated computational modeling can support these objectives, but requires large, information-rich data sets. This work introduces Neurobooth, a customizable platform for time-synchronized multimodal capture of human behavior.

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