Teaching experience, not surgical residency training, is the critical factor in optimizing student learning outcomes in performing ovariohysterectomy on a model.

Objective: To determine if surgical skills instructors' experience and qualifications influence students' learning of small animal ovariohysterectomy on a model (mOVH).

Sample Population: Second-year veterinary students (n = 105).

Methods: Students were randomized to three groups, taught by: (1) residency-trained surgeons with over 3 years' experience teaching mOVH, (2) general practitioners with over 3 years' experience teaching mOVH (GP >3), and (3) general practitioners with under 3 years' experience (GP <3).

Turning the attention to time-resolved EPID-images: treatment error classification with transformer multiple instance learning.

The aim of this work was to develop a novel artificial intelligence-assisteddosimetry method using time-resolved (TR) dose verification data to improve quality of external beam radiotherapy.. Although threshold classification methods are commonly used in error classification, they may lead to missing errors due to the loss of information resulting from the compression of multi-dimensional electronic portal imaging device (EPID) data into one or a few numbers.

CSF biomarkers of immune activation and Alzheimer's disease for predicting cognitive impairment risk in the elderly.

The immune system substantially influences age-related cognitive decline and Alzheimer's disease (AD) progression, affected by genetic and environmental factors. In a Mayo Clinic Study of Aging cohort, we examined how risk factors like APOE genotype, age, and sex affect inflammatory molecules and AD biomarkers in cerebrospinal fluid (CSF). Among cognitively unimpaired individuals over 65 ( = 298), we measured 365 CSF inflammatory molecules, finding age, sex, and diabetes status predominantly influencing their levels.

Timing of Biomarker Changes in Sporadic Alzheimer's Disease in Estimated Years from Symptom Onset.

Objective: A clock relating amyloid positron emission tomography (PET) to time was used to estimate the timing of biomarker changes in sporadic Alzheimer disease (AD).

Methods: Research participants were included who underwent cerebrospinal fluid (CSF) collection within 2 years of amyloid PET. The ages at amyloid onset and AD symptom onset were estimated for each individual.

Prediction of Early Recurrence Following CRS/HIPEC in Patients With Disseminated Appendiceal Cancer.

Introduction: In patients with disseminated appendiceal cancer (dAC) who underwent cytoreductive surgery (CRS) with hyperthermic intraperitoneal chemotherapy (HIPEC), characterizing and predicting those who will develop early recurrence could provide a framework for personalizing follow-up. This study aims to: (1) characterize patients with dAC that are at risk for recurrence within 2 y following of CRS ± HIPEC (early recurrence; ER), (2) utilize automated machine learning (AutoML) to predict at-risk patients, and (3) identifying factors that are influential for prediction.

Methods: A 12-institution cohort of patients with dAC treated with CRS ± HIPEC between 2000 and 2017 was used to train predictive models using H2O.