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Biomedical technology

Hui Dong, Hao Sun, Jianping Zheng
With the development of large-scale biologic databases, precision medicine is becoming a frontier in biomedical research. As a main focus of precision medicine study, cancer has been widely accepted as a disease born out of inherited genetic variations or accumulating genomic damage. At the single-cell level, microfluidics or lab-on-a-chip technology for cancer study is an emerging tool for improving risk assessment, diagnostic categories and therapeutic strategies. This work presents a multi-layer microchip for single-cell gene expression profiling...
December 1, 2016: Talanta
Antonio Miguel Cruz, Mayra R Guarín
To date, there are no broadly accepted or accurate models to determine appropriate staffing [levels] for clinical engineering departments (CEDs). The purpose of this study is to determine what the determinants of the staffing levels are (total number of full time equivalents (FTEs)) in CEDs in healthcare organisations. In doing so, we used a cross-sectional exploratory approach by using a multivariate regression model over a secondary source of data information from the AAMI Benchmarking Solutions-Healthcare Technology Management database...
October 21, 2016: Journal of Medical Engineering & Technology
Armando H Norman, Andrew J Russell, Claudia Merli
The UK's Quality and Outcomes Framework (QOF) is the largest pay-for-performance scheme in the world. This ethnographic study explored how QOF's monetary logic influences the approach to healthcare in UK general practice. From August 2013 to April 2014, we researched two UK general practice surgeries and one general practice training programme. These environments provided the opportunity for studying various spaces such as QOF meetings, consultation rooms, QOF recoding sessions, and the collection of computer-screen images depicting how patients' biomarkers are evaluated and costed through software systems...
October 11, 2016: Social Science & Medicine
Dogyeong Ha, Jisoo Hong, Heungjoo Shin, Taesung Kim
Micro-/nanofabrication-based lab-on-a-chip (LOC) technologies have recently been substantially advanced and have become widely used in various inter-/multidisciplinary research fields, including biological, (bio-)chemical, and biomedical fields. However, such hybrid-scale LOC devices are typically fabricated using microfabrication and nanofabrication processes in series, resulting in increased cost and time and low throughput issues. In this review, after briefly introducing the conventional micro-/nanofabrication technologies, we focus on unconventional micro-/nanofabrication technologies that allow us to produce either in situ micro-/nanoscale structures or master molds for additional replication processes to easily and conveniently create novel LOC devices with micro- or nanofluidic channel networks...
October 20, 2016: Lab on a Chip
Anders F Frellsen, Anders E Hansen, Rasmus I Jølck, Paul Kempen, Gregory W Severin, Palle H Rasmussen, Andreas Kjær, Andreas T I Jensen, Thomas L Andresen
By taking advantage of the ability of (64)Cu to bind non-specifically to gold surfaces, we have developed a new methodology to embed this radionuclide inside gold nanoparticles (AuNPs). (64)Cu enables the in vivo imaging of AuNPs by positron emission tomography (PET). AuNPs have a multitude of uses within health technology and are useful tools for general nanoparticle research. (64)Cu-AuNPs were prepared by incubating AuNP seeds with (64)Cu(2+), followed by the entrapment of the radionuclide by grafting a second layer of gold on the surface...
October 18, 2016: ACS Nano
Seid Muhie Yimam, Chris Biemann, Ljiljana Majnaric, Šefket Šabanović, Andreas Holzinger
In this article, we demonstrate the impact of interactive machine learning: we develop biomedical entity recognition dataset using a human-into-the-loop approach. In contrary to classical machine learning, human-in-the-loop approaches do not operate on predefined training or test sets, but assume that human input regarding system improvement is supplied iteratively. Here, during annotation, a machine learning model is built on previous annotations and used to propose labels for subsequent annotation. To demonstrate that such interactive and iterative annotation speeds up the development of quality dataset annotation, we conduct three experiments...
September 2016: Brain Informatics
Khushboo Gualti, Krishna Mohan Poluri
BACKGROUND: Unraveling the comprehensive networks of molecular signaling in various cellular processes and redesign/rewire them as per human wish is the ultimate dream of the biomedical researchers. Recent advances in the experimental and computational biophysics have provided us with enormous amount of protein sequences and a wide variety of structural information. Protein engineering is a fledging field and a creative process to design the target proteins or signaling networks with desirable structure and functions...
October 13, 2016: Recent Patents on Biotechnology
Renu Vyas, Sanket Bapat, Esha Jain, Muthukumarasamy Karthikeyan, Sanjeev Tambe, Bhaskar D Kulkarni
In order to understand the molecular mechanism underlying any disease, knowledge about the interacting proteins in the disease pathway is essential. The number of revealed protein-protein interactions (PPI) is still very limited compared to the available protein sequences of different organisms. Experiment based high-throughput technologies though provide some data about these interactions, those are often fairly noisy. Computational techniques for predicting protein-protein interactions therefore assume significance...
September 30, 2016: Computational Biology and Chemistry
Brigham J Hartley, Kristen J Brennand
Human induced pluripotent stem cells (hiPSCs) can theoretically yield limitless supplies of cells fated to any cell type that comprise the human organism, making them a new tool by which to potentially overcome caveats in current biomedical research. In vitro derivation of central nervous system (CNS) cell types has the potential to provide material for drug discovery and validation, safety and toxicity assays, cell replacement therapy and the elucidation of previously unknown disease mechanisms. However, current two-dimensional (2D) CNS differentiation protocols do not faithfully recapitulate the spatial organization of heterogeneous tissue, nor the cell-cell interactions, cell-extracellular matrix interactions, or specific physiological functions generated within complex tissue such as the brain...
October 12, 2016: Neurochemistry International
Bart Ellenbroek, Jiun Youn
Rodents (especially Mus musculus and Rattus norvegicus) have been the most widely used models in biomedical research for many years. A notable shift has taken place over the last two decades, with mice taking a more and more prominent role in biomedical science compared to rats. This shift was primarily instigated by the availability of a much larger genetic toolbox for mice, particularly embryonic-stem-cell-based targeting technology for gene disruption. With the recent emergence of tools for altering the rat genome, notably genome-editing technologies, the technological gap between the two organisms is closing, and it is becoming more important to consider the physiological, anatomical, biochemical and pharmacological differences between rats and mice when choosing the right model system for a specific biological question...
October 1, 2016: Disease Models & Mechanisms
Tim Aitman, Paraminder Dhillon, Aron M Geurts
Future prospects continue to be strong for research using the rat as a model organism. New technology has enabled the proliferation of many new transgenic and knockout rat strains, the genomes of more than 40 rat strains have been sequenced, publications using the rat as a model continue to be produced at a steady rate, and discoveries of disease-associated genes and mechanisms from rat experiments abound, frequently with conservation of function between rats and humans. However, advances in genome technology have led to increasing insights into human disease directly from human genetic studies, pulling more and more researchers into the human genetics arena and placing funding for model organisms and their databases under threat...
October 1, 2016: Disease Models & Mechanisms
David J Keene, Dipesh Mistry, Julian Nam, Elizabeth Tutton, Robert Handley, Lesley Morgan, Emma Roberts, Bridget Gray, Andrew Briggs, Ranjit Lall, Tim Js Chesser, Ian Pallister, Sarah E Lamb, Keith Willett
BACKGROUND: Close contact casting (CCC) may offer an alternative to open reduction and internal fixation (ORIF) surgery for unstable ankle fractures in older adults. OBJECTIVES: We aimed to (1) determine if CCC for unstable ankle fractures in adults aged over 60 years resulted in equivalent clinical outcome compared with ORIF, (2) estimate cost-effectiveness to the NHS and society and (3) explore participant experiences. DESIGN: A pragmatic, multicentre, equivalence randomised controlled trial incorporating health economic evaluation and qualitative study...
October 2016: Health Technology Assessment: HTA
Janifer Raj Xavier, Karna Venkata Ramana
Fructooligosaccharides (FOS) and levan attract much attention due to a wide range of applications in food technology and pharmaceutical and cosmetic industry. Bacillus licheniformis ANT 179, isolated from Antarctica soil, produced levansucrase and levan in a medium containing sucrose as carbon substrate. In this study, characterization of levansucrase and production of short-chain FOS and levan were investigated. Temperature and pH optimum of the enzyme were found to be 60 °C and pH 6.0, respectively. The optimization of fermentation conditions for levan production using sugarcane juice by response surface methodology (RSM) was carried out...
October 12, 2016: Applied Biochemistry and Biotechnology
Giuseppe Ruvio, Antonio Cuccaro, Raffaele Solimene, Adriana Brancaccio, Bruno Basile, Max J Ammann
This Letter introduces a feasibility study of a scanning system for applications in biomedical bone imaging operating in the microwave range 0.5-4 GHz. Mechanical uncertainties and data acquisition time are minimised by using a fully automated scanner that controls two antipodal Vivaldi antennas. Accurate antenna positioning and synchronisation with data acquisition enables a rigorous proof-of-concept for the microwave imaging procedure of a multi-layer phantom including skin, fat, muscle and bone tissues. The presence of a suitable coupling medium enables antenna miniaturisation and mitigates the impedance mismatch between antennas and phantom...
September 2016: Healthcare Technology Letters
Edison Ong, Zuoshuang Xiang, Bin Zhao, Yue Liu, Yu Lin, Jie Zheng, Chris Mungall, Mélanie Courtot, Alan Ruttenberg, Yongqun He
Linked Data (LD) aims to achieve interconnected data by representing entities using Unified Resource Identifiers (URIs), and sharing information using Resource Description Frameworks (RDFs) and HTTP. Ontologies, which logically represent entities and relations in specific domains, are the basis of LD. Ontobee ( is a linked ontology data server that stores ontology information using RDF triple store technology and supports query, visualization and linkage of ontology terms. Ontobee is also the default linked data server for publishing and browsing biomedical ontologies in the Open Biological Ontology (OBO) Foundry (http://obofoundry...
October 12, 2016: Nucleic Acids Research
Haixu Tang, Xiaoqian Jiang, Xiaofeng Wang, Shuang Wang, Heidi Sofia, Dov Fox, Kristin Lauter, Bradley Malin, Amalio Telenti, Li Xiong, Lucila Ohno-Machado
The outsourcing of genomic data into public cloud computing settings raises concerns over privacy and security. Significant advancements in secure computation methods have emerged over the past several years, but such techniques need to be rigorously evaluated for their ability to support the analysis of human genomic data in an efficient and cost-effective manner. With respect to public cloud environments, there are concerns about the inadvertent exposure of human genomic data to unauthorized users. In analyses involving multiple institutions, there is additional concern about data being used beyond agreed research scope and being prcoessed in untrused computational environments, which may not satisfy institutional policies...
October 13, 2016: BMC Medical Genomics
Paul C Pearlman, Rao Divi, Michael Gwede, Pushpa Tandon, Brian S Sorg, Miguel R Ossandon, Lokesh Agrawal, Vinay Pai, Houston Baker, Tiffani Bailey Lash
Point-of-care (POC) technologies have proved valuable in cancer detection, diagnosis, monitoring, and treatment in the developed world, and have shown promise in low-and-middle-income countries (LMIC) as well. Despite this promise, the unique design constraints presented in low-resource settings, coupled with the variety of country-specific regulatory and institutional dynamics, have made it difficult for investigators to translate successful POC cancer interventions to the LMIC markets. In response to this need, the National Cancer Institute has partnered with the National Institute of Biomedical Imaging and Bioengineering to create the National Institutes of Health Affordable Cancer Technologies (ACTs) program...
2016: IEEE Journal of Translational Engineering in Health and Medicine
Penny Ford Carleton, Steven Schachter, John A Parrish, John M Collins, J Benjamin Crocker, Ronald F Dixon, Susan Edgman-Levitan, Kent B Lewandrowski, James E Stahl, Catherine Klapperich, Mario Cabodi, Charlotte A Gaydos, Anne M Rompalo, Yukari Manabe, Tza-Huei Wang, Richard Rothman, Chris D Geddes, Lea Widdice, Joany Jackman, Rishi A Mathura, Tiffani Bailey Lash
To advance the development of point-of-care technology (POCT), the National Institute of Biomedical Imaging and Bioengineering established the POCT Research Network (POCTRN), comprised of Centers that emphasize multidisciplinary partnerships and close facilitation to move technologies from an early stage of development into clinical testing and patient use. This paper describes the POCTRN and the three currently funded Centers as examples of academic-based organizations that support collaborations across disciplines, institutions, and geographic regions to successfully drive innovative solutions from concept to patient care...
2016: IEEE Journal of Translational Engineering in Health and Medicine
Ka Hei Chan, Rahul Krishnan, Michael Alexander, Jonathan Rt Lakey
The islets of Langerhans are endocrine tissue clusters that secrete hormones that regulate the body's glucose, carbohydrate and fat metabolism, the most important of which is insulin, a hormone secreted by β cells within the islets. In certain instances, a person's own immune system attacks and destroys them leading to the development of Type 1 diabetes (T1D), a lifelong condition that needs daily insulin administration to maintain health and prolong survival. Islet transplantation is a surgical procedure that has demonstrated the ability to normalize blood sugar levels for up to a few years, but the need for chronic immunosuppression relegates it to a last resort that is often only used sparingly, and in seriously-ill patients...
October 10, 2016: Cell Transplantation
Timothy J OBrien, Ali R Roghani, Philip A Jones, Charles H Aardema, John L Robertson, Thomas E Diller
A new thin-filmed perfusion sensor was developed using a heat flux gauge, thin-film thermocouple, and a heating element. This sensor, termed "CHFT+", is an enhancement of the previously established CHFT (combined heat flux - temperature) sensor technology predominately used to quantify the severity of burns [1]. The CHFT+ sensor was uniquely designed to measure tissue perfusion on explanted organs destined for transplantation, but could be functionalized and used in a wide variety of other biomedical applications...
October 5, 2016: IEEE Transactions on Bio-medical Engineering
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