Publications by authors named "Dinh Phong Nguyen"

Article Synopsis
  • New technology, like high-throughput sequencing, helps scientists understand tumors better, leading to personalized treatments for cancer patients.
  • 'Liquid biopsies' allow doctors to see important genetic information in a patient's blood, making it easier to check for cancer without surgery.
  • As more data is collected, artificial intelligence will help analyze it, but this raises important questions about ethics and how it will affect healthcare.
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In oncology, the identification of targets that correlate with a type of cancer has led to a profound change in the notion of "tumor markers". Technological advances, in particular the development of high-throughput sequencing, have led to the emergence of a new generation of molecular biomarkers for tumors. Despite their limited utility for screening and diagnosis, conventional tumor markers remain interesting for evaluation of prognoses, the choice and optimization of treatments, as well as for monitoring the effectiveness of those treatments.

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Background: Mental health and well-being is a significant problem for medical students in training. In this study, we aim to estimate the prevalence of anxiety and depressive symptoms, burnout and psychosocial distress in French anaesthesia and intensive care residents.

Methods: A national online observational study used validated questionnaires (Hospital Anxiety and Depression Scale (HADS), Copenhagen Burnout Inventory (CBI), Perceived Stress Scale (PSS) and work-related questions (work-hours per week, night shift per month, safety rest after night shift, average time to start and end work, break time and time for lunch) to assess mental health and well-being of French residents in anaesthesia and intensive care.

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Objective: This article introduces SCALPEL3 (Scalable Pipeline for Health Data), a scalable open-source framework for studies involving Large Observational Databases (LODs). It focuses on scalable medical concept extraction, easy interactive analysis, and helpers for data flow analysis to accelerate studies performed on LODs.

Materials And Methods: Inspired from web analytics, SCALPEL3 relies on distributed computing, data denormalization and columnar storage.

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Background: Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) risk score is the only currently available midlife risk score for dementia. We compared CAIDE to Framingham cardiovascular Risk Score (FRS) and FINDRISC diabetes score as predictors of dementia and assessed the role of age in their associations with dementia. We then examined whether these risk scores were associated with dementia in those free of cardiometabolic disease over the follow-up.

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Hypothyroidism due to THRA1 (gene coding for thyroid hormone receptor α1) mutation-mediated Resistance to Thyroid Hormone (RTH) has been recently reported in human and is associated with memory deficits similar to those found in a mouse model for Thra1 mutation mediated RTH (Thra1(+/m) mice). Here, we show that a short-term treatment of Thra1(+/m) mice with GABAA receptor antagonist pentylenetetrazol (PTZ) completely and durably rescues their memory performance. In the CA1 region of the hippocampus, improvement of memory is associated with increased in long-term potentiation (LTP) and an augmentation of density of dendritic spines (DDS) onto the apical dendrites of pyramidal cells reflecting an increase in the local excitatory drive.

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