Towards AI-designed genomes using a variational autoencoder.

Genomes encode elaborate networks of genes whose products must seamlessly interact to support living organisms. Humans' capacity to understand these biological systems is limited by their sheer size and complexity. In this article, we develop a proof of concept framework for training a machine learning (ML) algorithm to model bacterial genome composition.

A New Temporary Training Prosthesis for People With Transtibial Amputation: a Technical Note.

Background: While waiting to receive a prosthesis, individuals with amputations could benefit from using a temporary training prosthesis to expedite the rehabilitation process and prepare them for subsequent walking with their prosthesis.

Objectives: To design and build a temporary training prosthesis for people with a transtibial amputation.

Methodology: Various temporary training prostheses were designed and simulated using SolidWorks software, followed by fabricating and testing multiple prototypes.

An environmental scan of limb loss rehabilitation centers across Canada.

Background: The clinical landscape of limb loss rehabilitation across Canada is poorly delineated, lacks standard rehabilitation guidelines, and is without a shared clinical database.

Objective: To address these gaps, the objective of the present study was to undertake an environmental scan of the rehabilitation centers across Canada that provide inpatient and/or outpatient services to the limb loss community.

Study Design: An environmental scan was conducted to describe the rehabilitation service structure, program services, and outcome measures of sites across Canada.

The Ottawa resident observation form for nurses (O-RON): evaluation of an assessment tool's psychometric properties in different specialties.

Background: Workplace-based assessment (WBA) used in post-graduate medical education relies on physician supervisors' feedback. However, in a training environment where supervisors are unavailable to assess certain aspects of a resident's performance, nurses are well-positioned to do so. The Ottawa Resident Observation Form for Nurses (O-RON) was developed to capture nurses' assessment of trainee performance and results have demonstrated strong evidence for validity in Orthopedic Surgery.