Implementation of a Clinical Entrustment Scale and Feedback Form in an Academic Veterinary Medical Center: An Empirical Analysis of Goal Oriented Learner Driven-Entrustment (GOLD-E) Assessment Tool.

This paper presents findings from an empirical analysis conducted on the initial implementation of Goal Oriented Learner Driven-Entrustment (GOLD-E). Specifically, researchers examined the following questions: How do faculty, technicians, and residents/interns integrate GOLD-E into their assessment process? Is GOLD-E user friendly (e.g.

Evaluation of post-operative complications, outcome, and long-term owner satisfaction of elbow arthrodesis (EA) in 22 dogs.

The objective of this study was to report post-operative complications and outcomes in canines undergoing elbow arthrodesis (EA) with fixation techniques including bone plate fixation with a non-locking dynamic compression plate (DCP), bone plate fixation with a locking plate (LCP), and external skeletal fixator (ESF). Medical records of twenty-two cases that underwent EA between January 2009-December 2019 from 8 referral hospitals including both private practice and academic institutions were reviewed. Post-operative complications were classified as either minor or major, surgical evaluations were performed 8 weeks post operatively, and a follow-up questionnaire was sent to owners.

Machine learning application identifies novel gene signatures from transcriptomic data of spontaneous canine hemangiosarcoma.

Angiosarcomas are soft-tissue sarcomas that form malignant vascular tissues. Angiosarcomas are very rare, and due to their aggressive behavior and high metastatic propensity, they have poor clinical outcomes. Hemangiosarcomas commonly occur in domestic dogs, and share pathological and clinical features with human angiosarcomas.

PLANETARY GRAND CHALLENGES: A CALL FOR INTERDISCIPLINARY PARTNERSHIPS.

Universities have traditionally been places where individual scholars work on individual topics, in individual disciplines, with individual funding. Even though large research institutions include all the major disciplines, faculty and students remain in their schools or colleges, rarely crossing the campus to interact. Matters do not improve once knowledge is generated.