Stokes, Tanner Cen, Haoning Howard Kapranov, Philipp Gallagher, Iain J. Pitsillides, Andrew A. Volmar, Claude‐Henry Kraus, William E. Johnson, James D. Phillips, Stuart M. Wahlestedt, Claes
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Sequencing the human genome empowers translational medicine, facilitating transcriptome-wide molecular diagnosis, pathway biology, and drug repositioning. Initially, microarrays are used to study the bulk transcriptome; but now short-read RNA sequencing (RNA-seq) predominates. Positioned as a superior technology, that makes the discovery of novel t...
Shilomboleni, Helena Recha, John Makonnen, Brook Duku, C. Radeny, Maren Solomon, Dawit
Our food systems have performed well in the past, but they are failing us in the face of climate change and other challenges. This book tells the story of why food system transformation is needed, how it can be achieved and how research can be a catalyst for change. Written by a global interdisciplinary team of researchers, it brings together persp...
Tadeo, Ada A
Peripheral Arterial Disease involves narrowed arteries, reducing blood flow to limbs. Increasing blood flow to those extremities is possible by redirecting the blood to flow through natural bypasses (i.e. collateral arteries), which can enlarge via arteriogenesis to maintain blood supply once the prominent arteries have become occluded. This study ...
Wei, Yu-Miao Li, Xiang Xu, Ming Abais, Justine M. Chen, Yang Riebling, Christopher R. Boini, Krishna M. Li, Pin-Lan Zhang, Yang
Published in
Cellular Physiology and Biochemistry
Background/Aims: In addition to their action of lowering blood cholesterol levels, statins modulate biological characteristics and functions of arterial myocytes such as viability, proliferation, apoptosis, survival and contraction. The present study tested whether simvastatin, as a prototype statin, enhances autophagy in coronary arterial myocytes...
Floricel, Carla Nipu, Nafiul Biggs, Mikayla Wentzel, Andrew Canahuate, Guadalupe Van Dijk, Lisanne Mohamed, Abdallah Fuller, C David Marai, G Elisabeta
Published in
IEEE transactions on visualization and computer graphics
Although cancer patients survive years after oncologic therapy, they are plagued with long-lasting or permanent residual symptoms, whose severity, rate of development, and resolution after treatment vary largely between survivors. The analysis and interpretation of symptoms is complicated by their partial co-occurrence, variability across populatio...
Simonson, Thomas
This volume details current and new computational methodologies to study peptides. Chapters guide readers through antimicrobial peptides, foldability, amyloid sheet formation, membrane-active peptides, organized peptide assemblies, protein-peptide interfaces, prediction of peptide-MHC complexes, advanced free energy simulations for peptide binding,...
Jarrar, Hillal
Classifying the electrocardiogram is of clinical importance because classification can be used to diagnose patients with cardiac arrhythmias. Many industries utilize machine learning techniques that consist of feature extraction methods followed by Naive- Bayesian classification in order to detect faults within machinery. Machine learning technique...
Georgel, Philippe T. Georgel, Philippe
Gout is the most frequent form of inflammatory arthritis in the world. Its prevalence is particularly elevated in specific geographical areas such as in the Oceania/Pacific region and is rising in the US, Europe, and Asia. Gout is a severe and painful disease, in which co-morbidities are responsible for a significant reduction in life expectancy. H...
Abbas, Ata Witte, Theodore Fahrmann, Johannes Francois Guo, Kai Hur, Junguk Hardman, Elaine Georgel, Philippe T.
Diets rich in omega-3 fatty acids (FA) have been associated with lowered risks of developing certain types of cancers. We earlier reported that in transgenic mice prone to develop breast cancer (BCa), a diet supplemented with canola oil, rich in omega-3-rich FA (as opposed to an omega-6-rich diet containing corn oil), reduced the risk of developing...
Shorten, Connor Khoshgoftaar, Taghi M. Furht, Borko
Published in
Journal of Big Data
This survey explores how Deep Learning has battled the COVID-19 pandemic and provides directions for future research on COVID-19. We cover Deep Learning applications in Natural Language Processing, Computer Vision, Life Sciences, and Epidemiology. We describe how each of these applications vary with the availability of big data and how learning tas...