Publications by authors named "A D Hernandez de la Luz"

Despite extensive efforts to unravel tumor behavior and develop anticancer therapies, most treatments fail when advanced to clinical trials. The main challenge in cancer research has been the absence of predictive cancer models, accurately mimicking the tumoral processes and response to treatments. The tumor microenvironment (TME) shows several human-specific physical and chemical properties, which cannot be fully recapitulated by the conventional 2D cell cultures or the animal models.

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  • The study focuses on creating a software tool for doctors to predict ovulation timing and evaluate how this affects pregnancy rates in natural cycle frozen embryo transfers (NC-FET).
  • Three datasets were analyzed to develop and validate an ovulation prediction model, achieving high accuracy rates (93.85% and 92.89%) in predicting ovulation.
  • The results showed that patients who followed the model's predictions had significantly better clinical pregnancy rates compared to those who did not, especially in women under 37 years old.
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Objective: To investigate factors associated with tuberculosis deaths in Mato Grosso state, Brazil, from 2011 to 2020.

Methods: Retrospective cohort study with data obtained from the Notifiable Health Conditions Information System and the Mortality Information System. Deaths were qualified using probabilistic linkage and analyzed using Poisson regression.

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  • The study focuses on improving the detection of KRAS mutations in pancreatic ductal adenocarcinoma (PDAC) using a technique called ARMS-HRMA, which is more sensitive than traditional methods.
  • It analyzed tumor and plasma samples from 88 newly diagnosed PDAC patients, finding G12D and G12C mutations linked to worse patient outcomes, including shorter progression-free and overall survival.
  • The findings suggest ARMS-HRMA could be a quick and affordable way to help determine prognosis and treatment strategies for PDAC patients.
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