Publications by authors named "D Madera Gonzalez"

CRISPR-Cas-based lateral flow assays (LFAs) have emerged as a promising diagnostic tool for ultrasensitive detection of nucleic acids, offering improved speed, simplicity and cost-effectiveness compared to polymerase chain reaction (PCR)-based assays. However, visual interpretation of CRISPR-Cas-based LFA test results is prone to human error, potentially leading to false-positive or false-negative outcomes when analyzing test/control lines. To address this limitation, we have developed two neural network models: one based on a fully convolutional neural network and the other on a lightweight mobile-optimized neural network for automated interpretation of CRISPR-Cas-based LFA test results.

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Electroencephalographic (EEG) recordings in individuals with Fragile X Syndrome (FXS) and the mouse model of FXS ( KO) display cortical hyperexcitability at rest, as well as deficits in sensory-driven cortical network synchrony. A form of circuit hyperexcitability is observed in cortical slices of KO mice as prolonged persistent activity, or Up, states. It is unknown if the circuit mechanisms that cause prolonged Up states contribute to FXS-relevant EEG phenotypes.

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Skin epithelial stem cells correct aberrancies induced by oncogenic mutations. Oncogenes invoke different strategies of epithelial tolerance; while wild-type cells outcompete β-catenin-gain-of-function (βcatGOF) cells, Hras cells outcompete wild-type cells. Here we ask how metabolic states change as wild-type stem cells interface with mutant cells and drive different cell-competition outcomes.

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Purpose: To evaluate the potency and security of Pneumatic Vitreolysis (PVL) as the primary treatment for Full-Thickness Macular Holes (FTMHs) and provide insights into patient selection criteria and procedural outcomes.

Patients And Methods: A retrospective analysis of three clinical cases presenting with FTMHs treated initially with PVL was conducted. Cases were evaluated for anatomical and functional outcomes through comprehensive ophthalmic examination and optical coherence tomography (OCT) imaging.

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Article Synopsis
  • The study investigates the effects of menstrual cycle phases and time of day on various stress and immune biomarkers, including salivary α-amylase (sAA) and secretory immunoglobulin A (SIgA), in a group of 17 participants.
  • No significant interactions were found between menstrual cycle phases and time of day for the biomarkers, resting blood pressure, heart rate, or body composition.
  • However, results indicate that resting heart rate and sAA levels were higher in the afternoon, while SIgA levels were higher in the morning, highlighting the influence of time of day on these markers, rather than the menstrual cycle phases.
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