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https://www.readbyqxmd.com/read/29782620/genomic-big-data-hitting-the-storage-bottleneck
#1
Louis Papageorgiou, Picasi Eleni, Sofia Raftopoulou, Meropi Mantaiou, Vasileios Megalooikonomou, Dimitrios Vlachakis
During the last decades, there is a vast data explosion in bioinformatics. Big data centres are trying to face this data crisis, reaching high storage capacity levels. Although several scientific giants examine how to handle the enormous pile of information in their cupboards, the problem remains unsolved. On a daily basis, there is a massive quantity of permanent loss of extensive information due to infrastructure and storage space problems. The motivation for sequencing has fallen behind. Sometimes, the time that is spent to solve storage space problems is longer than the one dedicated to collect and analyse data...
2018: EMBnet.journal
https://www.readbyqxmd.com/read/29782605/trends-in-oncologic-hybrid-imaging
#2
REVIEW
Andreas G Wibmer, Hedvig Hricak, Gary A Ulaner, Wolfgang Weber
Hybrid imaging plays a central role in the diagnosis and management of a wide range of malignancies at all stages. In this article, we review the most pertinent historical developments, emerging clinical applications of novel radiotracers and imaging technologies, and potential implications for training and practice. This includes an overview of novel tracers for prostate, breast, and neuroendocrine tumors, assessment of tumor heterogeneity, the concept of image-guided 'biologically relevant dosing', and theranostic applications...
2018: European journal of hybrid imaging
https://www.readbyqxmd.com/read/29781362/the-era-of-the-large-databases-outcomes-after-gastroesophageal-surgery-according-to-nsqip-nis-and-ncdb-databases-systematic-literature-review
#3
Gabriela Batista Rodríguez, Andrea Balla, Sonia Fernández-Ananín, Carmen Balagué, Eduard M Targarona
BACKGROUND: The term big data refers to databases that include large amounts of information used in various areas of knowledge. Currently, there are large databases that allow the evaluation of postoperative evolution, such as the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP), the Healthcare Cost and Utilization Project (HCUP) National Inpatient Sample (NIS), and the National Cancer Database (NCDB). The aim of this review was to evaluate the clinical impact of information obtained from these registries regarding gastroesophageal surgery...
May 1, 2018: Surgical Innovation
https://www.readbyqxmd.com/read/29778375/big-data-approach-to-evaluation-of-birth-defects-and-assisted-reproductive-technology-the-chinese-linkage-cohort
#4
EDITORIAL
Mary D Sammel, Natalie Stentz, Divya K Shah
No abstract text is available yet for this article.
May 2018: Fertility and Sterility
https://www.readbyqxmd.com/read/29777726/a-novel-approach-to-probabilistic-characterisation-of-neural-firing-patterns
#5
Gorana Mijatović, Tatjana Lončar-Turukalo, Emmanuel Procyk, Dragana Bajić
BACKGROUND: The advances in extracellular neural recording techniques result in big data volumes that necessitate fast, reliable, and automatic identification of statistically similar units. This study proposes a single framework yielding a compact set of probabilistic descriptors that characterise the firing patterns of a single unit. NEW METHOD: Probabilistic features are estimated from an inter-spike-interval time series, without assumptions about the firing distribution or the stationarity...
May 16, 2018: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/29776524/analysis-of-hourly-crash-likelihood-using-unbalanced-panel-data-mixed-logit-model-and-real-time-driving-environmental-big-data
#6
Feng Chen, Suren Chen, Xiaoxiang Ma
INTRODUCTION: Driving environment, including road surface conditions and traffic states, often changes over time and influences crash probability considerably. It becomes stretched for traditional crash frequency models developed in large temporal scales to capture the time-varying characteristics of these factors, which may cause substantial loss of critical driving environmental information on crash prediction. METHOD: Crash prediction models with refined temporal data (hourly records) are developed to characterize the time-varying nature of these contributing factors...
June 2018: Journal of Safety Research
https://www.readbyqxmd.com/read/29775405/the-mouse-heart-attack-research-tool-mhart-1-0-database
#7
Kristine Y DeLeon-Pennell, Rugmani Padmanabhan Iyer, Yonggang Ma, Andriy Yabluchanskiy, Rogelio Zamilpa, Ying Ann Chiao, Presley Cannon, Courtney Cates, Elizabeth R Flynn, Ganesh V Halade, Lisandra E de Castro Bras, Merry L Lindsey
The generation of Big Data has enabled systems-level dissections into the mechanisms of cardiovascular pathology. Integration of genetic, proteomic, and pathophysiological variables across platforms and laboratories fosters discoveries through multidisciplinary investigations and minimizes unnecessary redundancy in research efforts. The Mouse Heart Attack Research Tool (mHART) consolidates a large dataset of over 10 years of experiments from a single laboratory for cardiovascular investigators to generate novel hypotheses and identify new predictive markers of progressive left ventricular remodeling following myocardial infarction (MI) in mice...
May 18, 2018: American Journal of Physiology. Heart and Circulatory Physiology
https://www.readbyqxmd.com/read/29775383/going-big-data-with-caution
#8
Pat Baird
No abstract text is available yet for this article.
January 2018: Biomedical Instrumentation & Technology
https://www.readbyqxmd.com/read/29774657/cheminformatics-in-drug-discovery-an-industrial-perspective
#9
REVIEW
Hongming Chen, Thierry Kogej, Ola Engkvist
Cheminformatics has established itself as a core discipline within large scale drug discovery operations. It would be impossible to handle the amount of data generated today in a small molecule drug discovery project without persons skilled in cheminformatics. In addition, due to increased emphasis on "Big Data", machine learning and artificial intelligence, not only in the society in general, but also in drug discovery, it is expected that the cheminformatics field will be even more important in the future...
May 18, 2018: Molecular Informatics
https://www.readbyqxmd.com/read/29774460/multi-layer-cube-sampling-for-liver-boundary-detection-in-pet-ct-images
#10
Xinxin Liu, Jian Yang, Shuang Song, Hong Song, Danni Ai, Jianjun Zhu, Yurong Jiang, Yongtian Wang
Liver metabolic information is considered as a crucial diagnostic marker for the diagnosis of fever of unknown origin, and liver recognition is the basis of automatic diagnosis of metabolic information extraction. However, the poor quality of PET and CT images is a challenge for information extraction and target recognition in PET-CT images. The existing detection method cannot meet the requirement of liver recognition in PET-CT images, which is the key problem in the big data analysis of PET-CT images. A novel texture feature descriptor called multi-layer cube sampling (MLCS) is developed for liver boundary detection in low-dose CT and PET images...
May 17, 2018: Australasian Physical & Engineering Sciences in Medicine
https://www.readbyqxmd.com/read/29774310/the-big-data-revolution-for-breast-cancer-patients
#11
EDITORIAL
Issam Ibnouhsein, Stéphane Jankowski, Karl Neuberger, Carole Mathelin
No abstract text is available yet for this article.
April 2018: European Journal of Breast Health
https://www.readbyqxmd.com/read/29771635/pathogenesis-based-treatments-in-primary-sjogren-s-syndrome-using-artificial-intelligence-and-advanced-machine-learning-techniques-a-systematic-literature-review
#12
Nathan Foulquier, Pascal Redou, Christophe Le Gal, Bénédicte Rouvière, Jacques-Olivier Pers, Alain Saraux
Big data analysis has become a common way to extract information from complex and large datasets among most scientific domains. This approach is now used to study large cohorts of patients in medicine. This work is a review of publications that have used artificial intelligence and advanced machine learning techniques to study physio pathogenesis-based treatments in pSS. A systematic literature review retrieved all articles reporting on the use of advanced statistical analysis applied to the study of systemic autoimmune diseases (SADs) over the last decade...
May 17, 2018: Human Vaccines & Immunotherapeutics
https://www.readbyqxmd.com/read/29766512/structured-radiology-reporting-on-an-institutional-level-benefit-or-new-administrative-burden
#13
REVIEW
Daniel Pinto Dos Santos, Elmar Kotter
Significant technical advances have been made in radiology since the first discovery of X-rays. Diagnostic techniques have become more and more complex, workflows have been digitized, and data production has increased exponentially. However, the radiology report as the main method for communicating examination results has largely remained unchanged. Growing evidence supports that more structured radiology reports offer various benefits over conventional narrative reports. Various efforts have been made to further develop and promote structured reporting...
May 16, 2018: Annals of the New York Academy of Sciences
https://www.readbyqxmd.com/read/29764796/predicting-the-reasons-of-customer-complaints-a-first-step-toward-anticipating-quality-issues-of-in-vitro-diagnostics-assays-with-machine-learning
#14
Stephane Aris-Brosou, James Kim, Li Li, Hui Liu
BACKGROUND: Vendors in the health care industry produce diagnostic systems that, through a secured connection, allow them to monitor performance almost in real time. However, challenges exist in analyzing and interpreting large volumes of noisy quality control (QC) data. As a result, some QC shifts may not be detected early enough by the vendor, but lead a customer to complain. OBJECTIVE: The aim of this study was to hypothesize that a more proactive response could be designed by utilizing the collected QC data more efficiently...
May 15, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29764560/-discussion-of-the-implementation-of-mimic-database-in-emergency-medical-study
#15
Kaiyuan Li, Cong Feng, Lijing Jia, Li Chen, Fei Pan, Tanshi Li
To introduce Medical Information Mart for Intensive Care (MIMIC) database and elaborate the approach of critically emergent research with big data based on the feature of MIMIC and updated studies both domestic and overseas, we put forward the feasibility and necessity of introducing medical big data to research in emergency. Then we discuss the role of MIMIC database in emergency clinical study, as well as the principles and key notes of experimental design and implementation under the medical big data circumstance...
May 2018: Zhonghua Wei Zhong Bing Ji Jiu Yi Xue
https://www.readbyqxmd.com/read/29762754/optimized-distributed-systems-achieve-significant-performance-improvement-on-sorted-merging-of-massive-vcf-files
#16
Xiaobo Sun, Jingjing Gao, Peng Jin, Celeste Eng, Esteban G Burchard, Terri H Beaty, Ingo Ruczinski, Rasika A Mathias, Kathleen C Barnes, Fusheng Wang, Zhaohui Qin
Background: Sorted merging of genomic data is a common data operation necessary in many sequencing-based studies. It involves sorting and merging genomic data from different subjects by their genomic locations. In particular, merging a large number of Variant Call Format (VCF) files is frequently required in large scale whole genome sequencing or whole exome sequencing projects. Traditional single machine based methods become increasingly inefficient when processing large numbers of VCF files due to the excessive computation time and I/O bottleneck...
May 11, 2018: GigaScience
https://www.readbyqxmd.com/read/29757736/a-backprojection-slice-theorem-for-tomographic-reconstruction
#17
Eduardo Miqueles, Nikolay Koshev, Elias S Helou
Fast image reconstruction techniques are becoming important with the increasing number of scientific cases in high resolution micro and nano tomography. The processing of the large scale 3D data demands new mathematical tools for the tomographic reconstruction. Due to the high computational complexity of most current algorithms, big data sizes demands powerful hardware and more sophisticated numerical techniques. Several reconstruction algorithms are dependent on a mathematical tool called backprojection (a transposition process)...
February 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29755745/exploitation-of-knowledge-databases-in-the-synthesis-of-zinc-ii-malonates-with-photo-sensitive-and-photo-insensitive-n-n-containing-linkers
#18
Ekaterina N Zorina-Tikhonova, Aleksandr S Chistyakov, Mikhail A Kiskin, Aleksei A Sidorov, Pavel V Dorovatovskii, Yan V Zubavichus, Eugenia D Voronova, Ivan A Godovikov, Alexander A Korlyukov, Igor L Eremenko, Anna V Vologzhanina
Photoinitiated solid-state reactions are known to affect the physical properties of coordination polymers, such as fluorescence and sorption behaviour, and also afford extraordinary architectures ( e.g. three-periodic structures with polyorganic ligands). However, the construction of novel photo-sensitive coordination polymers requires an understanding of the factors which govern the mutual disposition of reactive fragments. A series of zinc(II) malonate complexes with 1,2-bis(pyridin-4-yl)ethylene and its photo-insensitive analogues has been synthesized for the purpose of systematic analysis of their underlying nets and mutual disposition of N -donor ligands...
May 1, 2018: IUCrJ
https://www.readbyqxmd.com/read/29755388/structural-equation-modeling-with-many-variables-a-systematic-review-of-issues-and-developments
#19
Lifang Deng, Miao Yang, Katerina M Marcoulides
Survey data in social, behavioral, and health sciences often contain many variables ( p ). Structural equation modeling (SEM) is commonly used to analyze such data. With a sufficient number of participants ( N ), SEM enables researchers to easily set up and reliably test hypothetical relationships among theoretical constructs as well as those between the constructs and their observed indicators. However, SEM analyses with small N or large p have been shown to be problematic. This article reviews issues and solutions for SEM with small N , especially when p is large...
2018: Frontiers in Psychology
https://www.readbyqxmd.com/read/29752973/big-data-and-data-science-in-critical-care
#20
REVIEW
L Nelson Sanchez-Pinto, Yuan Luo, Matthew M Churpek
The digitalization of the healthcare system has resulted in a deluge of clinical Big Data and has prompted the rapid growth of data science in medicine. Data science, which is the field of study dedicated to the principled extraction of knowledge from complex data, is particularly relevant in the critical care setting. The availability of large amounts of data in the intensive care unit, the need for better evidence-based care, and the complexity of critical illness makes the use of data science techniques and data-driven research particularly appealing to intensivists...
May 9, 2018: Chest
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