Publications by authors named "S J Pelletier"

Neurodevelopmental disorders are thought to arise from intrinsic brain abnormalities. Alternatively, they may arise from disrupted crosstalk among tissues. Here we show the local reduction of two vestibulo-cerebellar lobules, the paraflocculus and flocculus, in mouse models and humans with 22q11.

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The perceived personal control (PPC) questionnaire serves as an instrument to assess the concept of PPC, which refers to a person's perception of their ability to achieve positive outcomes while avoiding the negative effects of a given situation. Developed and used as a patient-reported outcome measure (PROM) in genetic counseling, the PPC questionnaire has been translated and validated in several languages, but not in French. The aim of this study was to cross-culturally adapt and validate a French version of the PPC questionnaire to evaluate genetic counseling services for hereditary breast and ovarian cancer (HBOC).

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Purpose: Coaching is a well-described means of providing real-time, actionable feedback to learners. We aimed to determine whether dual coaching from faculty physicians and real inpatients led to an improvement in history-taking skills of clerkship medical students.

Patients And Methods: Expert faculty physicians (on Zoom) directly observed 13 clerkship medical students as they obtained a history from 26 real, hospitalized inpatients (in person), after which students received immediate feedback from both the physician and the patient.

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Article Synopsis
  • Elexacaftor/tezacaftor/ivacaftor (ETI) is a new treatment for cystic fibrosis that significantly improves lung health, but its effects on kidneys remain uncertain.
  • A study involving 19 adults with cystic fibrosis showed no significant change in kidney function after 7 months of ETI treatment, though there was a decrease in aldosterone levels and magnesuria.
  • The results indicate that ETI does not negatively affect renal function in the short term and may help address related issues like hyperaldosteronism; however, further research is needed to understand the implications for kidney stone risk.
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  • Aortic valve stenosis (AS) is a chronic disease that progresses at different rates among patients, making it challenging to predict its progression.* -
  • This study utilized machine and deep learning algorithms on data from 303 patients to forecast AS progression over the next 2 and 5 years, showing that the LightGBM model yielded the best predictive performance.* -
  • The findings suggest that using AI in clinical settings can improve the risk assessment of AS, effectively predicting the disease progression and outcomes for patients with mild-to-moderate AS.*
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