The Society of Thoracic Surgeons Expert Consensus Statements on a Framework for a Standardized National Robotic Curriculum for Thoracic Surgery Trainees.

Objective: With robotic technology's rapid growth and integration, an urgent need to bridge the educational gap in thoracic surgical training has emerged. This document, a result of consensus among a group of experts in the practice and training of robotic surgery from the Society of Thoracic Surgeons (STS), aims to provide a framework for a standardized national robotic curriculum for thoracic surgery trainees.

Methods: The STS Task Force on Robotic Thoracic Surgery and Workforce on E-learning and Educational Innovation assembled an expert group with the input of the Thoracic Surgery Director's Association (TSDA).

Colorimetric and electrochemical analysis of DNAzyme-LAMP amplicons for the detection of Escherichia coli in food matrices.

Foodborne bacteria like Escherichia coli threaten global food security, necessitating affordable, on-site detection methods, especially in resource-limited settings. This study optimized loop-mediated isothermal amplification (LAMP) integrated with peroxidase-mimicking G-quadruplex DNA structures (DNAzyme), termed DNAzyme-LAMP which was designed to incorporate two different catalytic DNAzymes per amplification unit, enabling colorimetric detection of E. coli in leafy vegetables and milk samples.

Development of age-specific population-based paediatric computational phantoms for image-based data mining and other radiotherapy applications.

Computational anatomical models have many applications in paediatric radiotherapy. Age-specific computational anatomical models were historically developed to represent average and/or healthy individuals, where cancer patients may present with anatomical variations caused by the disease and/or treatment effects. We developed RT-PAL, a library of computational age-specific voxelized anatomical models tailored to represent the paediatric radiotherapy population.

Near or mid-infra-red spectroscopy of the prefrontal cortex to identify previous stressful experience in an animal.

Measuring the quality of life of an animal in a production system is difficult, time-consuming, and expensive. We tested the ability of both NIR and MIR spectroscopy, each combined with machine learning, to predict the prior exposure of pigs to long- and short-term life challenges when they are raised in an intensive system. Samples were obtained post-mortem from two locations in the prefrontal cortex.

Rationale and design of the DEFIANCE study: A randomized controlled trial of mechanical thrombectomy versus anticoagulation alone for iliofemoral deep vein thrombosis.

Background: Deep vein thrombosis (DVT) is a common medical condition that is associated with clinically significant sequelae, including postthrombotic syndrome (PTS). Anticoagulation alone remains the guideline-recommended treatment for many patients with iliofemoral DVT. Recent technological advances have led to an increase in the use of mechanical thrombectomy for DVT, but mechanical thrombectomy-based procedures have not yet been compared with standard-of-care anticoagulation therapy in randomized studies.