Blood Brain Barrier (BBB) is the collection of vessels of blood with special properties of permeability that allow a limited range of drug and compounds to pass through it. The BBB plays a vital role in maintaining balance between intracellular and e...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2019
Segmentation is one of the most ubiquitous problems in biological image analysis. Here we present a machine learning-based solution to it as implemented in the open source ilastik toolkit. We give a broad description of the underlying theory and demo...
Machine learning (ML) algorithms have found increasing utility in the medical imaging field and numerous applications in the analysis of digital biomarkers within positron emission tomography (PET) imaging have emerged. Interest in the use of artific...
We are in the midst of a demographic phenomenon known as the graying of society. In more affluent countries, the population is aging. According to the U.S. Census Bureau, the number of Americans aged 65 and older is projected to more than double by 2...
Database : the journal of biological databases and curation
Jan 1, 2019
Next-generation sequencing technologies and the availability of an increasing number of mammalian and other genomes allow gene expression studies, particularly RNA sequencing, in many non-model organisms. However, incomplete genome annotation and ass...
Journal of X-ray science and technology
Jan 1, 2019
BACKGROUND: Spectral computed tomography (CT) has the capability to resolve the energy levels of incident photons, which has the potential to distinguish different material compositions. Although material decomposition methods based on x-ray attenuat...
A tiny cockroach no bigger than a large paper clip scurries across the floor of my bio-engineering lab at the University of Connecticut, Mansfield, CT, USA. It is a robot-roach hybrid, a hardwired biological insect, a cyborg if you will, and its futu...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2019
Technological advancements in many fields have led to huge increases in data production, including data volume, diversity, and the speed at which new data is becoming available. In accordance with this, there is a lack of conformity in the ways data ...
The Journal of the Acoustical Society of America
Jan 1, 2019
In this work, a convolutional neural network based method is proposed to automatically detect odontocetes echolocation clicks by analyzing acoustic data recordings from a passive acoustic monitoring system. The neural network was trained to distingui...
Tuberculosis, malaria, dengue, chikungunya, leishmaniasis etc. are a large group of neglected tropical diseases that prevail in tropical and subtropical countries, affecting one billion people every year. Minimal funding and grants for research on th...
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