FUSE: Improving the estimation and imputation of variant impacts in functional screening.

Deep mutational scanning enables high-throughput functional assessment of genetic variants. While phenotypic measurements from screening assays generally align with clinical outcomes, experimental noise may affect the accuracy of individual variant estimates. We developed the FUSE (functional substitution estimation) pipeline, which leverages measurements collectively within screening assays to improve the estimation of variant impacts.

Summer Cancer Research Experience for High School Students from Historically Marginalized Populations in Kansas City.

The Accelerate Cancer Education (ACE) summer research program at The University of Kansas Cancer Center (KUCC) is a six-week, cancer-focused, summer research experience for high school students from historically marginalized populations in the Kansas City metropolitan area. Cancer affects all populations and continues to be the second leading cause of death in the United States, and a large number of disparities impact racial and ethnic minorities, including increased cancer incidence and mortality. Critically, strategies to bolster diversity, equity, inclusion, and accessibility are needed to address persistent cancer disparities.

What Do Patients Encounter When Searching Online About Meniscal Surgery? An Analysis of Internet Trends.

Background: Many patients use the internet to learn about their orthopaedic conditions and find answers to their common questions. However, the sources and quality of information available to patients regarding meniscal surgery have not been fully evaluated.

Purpose: To determine the most frequently searched questions associated with meniscal surgery based on question type and topic, as well as to assess the website source type and quality.

Indications for Surgery, Activities After Surgery, and Pain Are the Most Commonly Asked Questions in Anterior Cruciate Ligament Injury and Reconstruction.

Purpose: To leverage Google's search algorithms to summarize the most commonly asked questions regarding anterior cruciate ligament (ACL) injuries and surgery.

Methods: Six terms related to ACL tear and/or surgery were searched on a clean-installed Google Chrome browser. The list of questions and their associated websites on the Google search page were extracted after multiple search iterations performed in January of 2022.

Delirium detection using wearable sensors and machine learning in patients with intracerebral hemorrhage.

Objective: Delirium is associated with worse outcomes in patients with stroke and neurocritical illness, but delirium detection in these patients can be challenging with existing screening tools. To address this gap, we aimed to develop and evaluate machine learning models that detect episodes of post-stroke delirium based on data from wearable activity monitors in conjunction with stroke-related clinical features.

Design: Prospective observational cohort study.