Measuring system resilience through a comparison of information- and flow-based network analyses.

Quantifying the properties of complex, self-organizing systems is increasingly important for understanding the development and state of modern systems. Case studies have recommended sustainability frameworks predominately in literature, but little emphasis has been placed on methodological evaluation. Data availability is often an obstacle that constrains conventional flow-based network analysis, but a novel information-based technique (QtAC) developed by zu Castell and Schrenk overcomes these constraints by modelling interactions between agents as information transfers.

Progress toward a universal biomedical data translator.

Clinical, biomedical, and translational science has reached an inflection point in the breadth and diversity of available data and the potential impact of such data to improve human health and well-being. However, the data are often siloed, disorganized, and not broadly accessible due to discipline-specific differences in terminology and representation. To address these challenges, the Biomedical Data Translator Consortium has developed and tested a pilot knowledge graph-based "Translator" system capable of integrating existing biomedical data sets and "translating" those data into insights intended to augment human reasoning and accelerate translational science.

Decreasing Colectomy Rates in Advanced Adenomas.

Advanced colon adenomas are commonly treated with colectomy, which is associated with substantial morbidity and mortality. Novel endoscopic resection techniques have been described, including endoscopic mucosal resection (EMR) and endoscopic submucosal resection (ESR), which demonstrate promise in treating these neoplasms without colectomy. We performed a retrospective review of patients with advanced adenomas who were referred to a colorectal surgeon for evaluation for resection over 4 years.