Publications by authors named "E M Dietrich"

Alternative assessment approaches, such as pass/fail and feedback-based designs, aim to reduce academic stress and foster deeper learning. Few studies have examined feedback-based evaluation in formative settings in medical education, but none among graduate anatomy students. This exploratory study investigated the impact of feedback-based versus quiz-based assessments on graduate students' academic stress, motivation, and perceived learning quality in an anatomy course.

View Article and Find Full Text PDF
Article Synopsis
  • This study investigates the relationship between immune-related adverse events (irAEs) from checkpoint inhibitor therapy and survival outcomes in patients with rare cancers, utilizing data from a federally-funded basket trial involving 684 participants.
  • The research indicates that grade 1-2 treatment-related irAEs are linked to longer overall survival, while grade 3-4 irAEs are associated with shorter survival, with similar but weaker effects on progression-free survival.
  • Specific types of grade 1-2 dermatologic toxicity were particularly beneficial for overall survival, highlighting the predictive value of the severity of irAEs in treatment outcomes for rare tumors.
View Article and Find Full Text PDF

Importance: Care partners' involvement is a key feature of the Cognitive Orientation to daily Occupational Performance (CO-OP) approach that can enhance rehabilitation outcomes and promote the generalization and transfer of strategies and skills to everyday life. Gaining insight into care partners' experience with their child's CO-OP intervention is critical to understanding how to enhance care partners' involvement.

Objective: To gain insight into the experience of care partners whose child with acquired brain injury (ABI) participated in CO-OP intervention.

View Article and Find Full Text PDF

Background: Prostate cancer (PCa) is among the most common cancers in men and its diagnosis requires the histopathological evaluation of biopsies by human experts. While several recent artificial intelligence-based (AI) approaches have reached human expert-level PCa grading, they often display significantly reduced performance on external datasets. This reduced performance can be caused by variations in sample preparation, for instance the staining protocol, section thickness, or scanner used.

View Article and Find Full Text PDF