Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Soft X-Ray And Susceptibility Based Magnetic Resonance Imaging To Map Iron Distribution In Apples: Initial Results To Model Iron Storage In Water-Deficient Or Dehydrated Biological Tissue, Subhendra N. Sarkar, Eric Lobel, Evans Lespinasse, Zoya Vinokur, Analia Basilicata, Sonia Orellana, Maria Orellana, Aaliyah Salmon, Joanna Syska, Aravis Mcbroom, Jian Wang, Anam Riaz, Jodi-Ann Douglas

Publications and Research

Radiology departments have contributed significantly to greenhouse gases including release of toxic imaging contrast media to environment. We feel Radiology also has several spectroscopy and imaging tools that may apply to monitor and support cleaner environmental goals. The current manuscript is one of the firsts to prompt Radiology to move in that direction by non invasive imaging of bio metals that are less abundant in biological tissues but play key roles as co-factors in tissue structure and function. Conventional analytical tools are mostly invasive and cannot characterize the native oxidation states of bio metals. We chose carbohydrate matrix of metal-rich …

Protocol For Safe, Affordable, And Reproducible 1 Isolation And Quantitation 2 Of Sars-Cov-2 Rna From Wastewater, Monica Trujillo, Kristen Cheung, Anna Gao, Irene Hoxie, Sherin Kannoly, Nanami Kubota, Kaung Myat San, Davida S. Smyth, John J. Dennehy

Publications and Research

The following protocol describes our workflow for processing wastewater with the goal of detecting the genetic signal of SARS-CoV-2. The steps include pasteurization, virus concentration, RNA extraction, and quantification by RT-qPCR. We include auxiliary steps that provide new users with tools and strategies that will help troubleshoot key steps in the process. This protocol is one of the safest, cheapest, and most reproducible approaches for the detection of SARS-CoV-2 RNA in wastewater. Furthermore, the RNA obtained using this protocol, minus the pasteurization step, can be sequenced both using a targeted approach sequencing specific regions or the whole genome. The protocol …

Hips That Harm: When Medical Devices Fail Women, Sophie N. Putka

Capstones

Medical devices that save the lives of thousands of Americans each year advance at a rapid pace - but some of them consistently leave women behind. When it comes to joint replacements and even heart devices, women have worse health outcomes. Behind this preventable problem is a system that overlooks women from start to finish. Female bodies are different from male bodies, but women are often underrepresented in medical trials for device approval. Women’s participation in clinical testing for devices has increased, but there’s rarely a detailed analysis of performance by sex, and even less information on women by race …

A Human-Centered Platform For Hiv Infection Reduction In New York: Development And Usage Analysis Of The Ending The Epidemic (Ete) Dashboard, Ashish Joshi, Chioma Amadi, Benjamin Katz, Sarah Kulkarni, Denis Nash

Publications and Research

Background: Dashboards have been increasingly used in clinic-based interventions, such as clinical performance improvement and monitoring risk of hospital readmissions, and are now gaining traction in population-based interventions, especially in disease assessment.

Objective: We describe the design, development, and usage analysis of a geovisualization dashboard, the Ending the Epidemic (ETE) Dashboard. The ETE dashboard is a tool developed to track New York’s progress towards achieving the goal of its ETE Initiative, to reduce new HIV infections from 3000 per year to 750 per year by the end of 2020.

Methods: The ETE dashboard was adapted from an existing human-centered geovisualization …

Robins-I: A Tool For Assessing Risk Of Bias In Non-Randomised Studies Of Interventions, Jonathan A.C. Sterne, Miguel A. Hernán, Barnaby C. Reeves, Jelena Savovic, Nancy D. Berkman, Meera Viswanathan, David Henry, Douglas G. Altman, Mohammed T. Ansari, Isabelle Boutron, James R. Carpenter, An-Wen Chen, Rachel Churchill, Jonathan J. Deeks, Asbjørn Hróbjartsson, Jamie Kirkham, Peter Jüni, Yoon K. Loke, Theresa D. Pigott, Craig R. Ramsay, Deborah Regidor, Hannah R. Rothstein, Lakhbir Sandhu, Pasqualina L. Santaguida, Holger J. Schünemann, Beverly Shea, Ian Shrier, Peter Tugwell, Lucy Turner, Jeffrey C. Valentine, Hugh Waddington, Elizabeth Waters, George A. Wells, Penny F. Whiting, Julian Pt Higgins

Publications and Research

Non-randomized studies of the effects of interventions are critical to many areas of healthcare evaluation, but their results may be biased. It is therefore important to understand and appraise their strengths and weaknesses. We developed ROBINS-I (“Risk Of Bias In Non-randomized Studies - of Interventions”), a new tool for evaluating risk of bias in estimates of the comparative effectiveness (harm or benefit) of interventions from studies that did not use randomization to allocate units (individuals or clusters of individuals) to comparison groups. The tool will be particularly useful to those undertaking systematic reviews that include non-randomized studies.