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Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data.

Nature communications May 11, 2021
Transcriptomic atlases have improved our understanding of the correlations between gene-expression patterns and spatially varying properties of brain structure and function. Gene-category enrichment analysis (GCEA) is a common method to identify func...
Male Gene Expression Profiling Mice Mice, Inbred C57BL Molecular Sequence Annotation Gene Ontology Humans Software Brain Reproducibility of Results Animals
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Testing the Use of Natural Language Processing Software and Content Analysis to Analyze Nursing Hand-off Text Data.

Computers, informatics, nursing : CIN May 10, 2021
Natural language processing software programs are used primarily to mine both structured and unstructured data from the electronic health record and other healthcare databases. The mined data are used, for example, to identify vulnerable at-risk popu...
Communication Natural Language Processing Patient Handoff Humans Software Electronic Health Records
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Mixed-precision weights network for field-programmable gate array.

PloS one May 10, 2021
In this study, we introduced a mixed-precision weights network (MPWN), which is a quantization neural network that jointly utilizes three different weight spaces: binary {-1,1}, ternary {-1,0,1}, and 32-bit floating-point. We further developed the MP...
Algorithms Neural Networks, Computer Time Factors Software Bayes Theorem Signal Processing, Computer-Assisted Pattern Recognition, Automated
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Ethoflow: Computer Vision and Artificial Intelligence-Based Software for Automatic Behavior Analysis.

Sensors (Basel, Switzerland) May 7, 2021
Manual monitoring of animal behavior is time-consuming and prone to bias. An alternative to such limitations is using computational resources in behavioral assessments, such as tracking systems, to facilitate accurate and long-term evaluations. There...
Algorithms Computers Animals Neural Networks, Computer Artificial Intelligence Software
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Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records.

Nature protocols May 5, 2021
Early prediction of patient outcomes is important for targeting preventive care. This protocol describes a practical workflow for developing deep-learning risk models that can predict various clinical and operational outcomes from structured electron...
Humans Risk Assessment Deep Learning Workflow Software Research Design Electronic Health Records
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Neural network strategies for plasma membrane selection in fluorescence microscopy images.

Biophysical journal May 4, 2021
In recent years, there has been an explosion of fluorescence microscopy studies of live cells in the literature. The analysis of the images obtained in these studies often requires labor-intensive manual annotation to extract meaningful information. ...
Microscopy, Fluorescence Cell Membrane Neural Networks, Computer Software Image Processing, Computer-Assisted
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Computational generation of proteins with predetermined three-dimensional shapes using ProteinSolver.

STAR protocols Apr 28, 2021
Computational generation of new proteins with a predetermined three-dimensional shape and computational optimization of existing proteins while maintaining their shape are challenging problems in structural biology. Here, we present a protocol that u...
Neural Networks, Computer Databases, Protein Software Computational Biology Proteins
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Continual learning in medical devices: FDA's action plan and beyond.

The Lancet. Digital health Apr 28, 2021
Government Regulation Machine Learning Software Algorithms Humans United States Food and Drug Administration Delivery of Health Care Equipment and Supplies Feedback Medical Informatics United States
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Cheetah: A Computational Toolkit for Cybergenetic Control.

ACS synthetic biology Apr 27, 2021
Advances in microscopy, microfluidics, and optogenetics enable single-cell monitoring and environmental regulation and offer the means to control cellular phenotypes. The development of such systems is challenging and often results in bespoke setups ...
Computer Systems Image Processing, Computer-Assisted Mice Escherichia coli Cell Line Mouse Embryonic Stem Cells Microscopy Reproducibility of Results Animals Data Accuracy Software Deep Learning Synthetic Biology Lab-On-A-Chip Devices
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Deep Learning Improves Speed and Accuracy of Prostate Gland Segmentations on Magnetic Resonance Imaging for Targeted Biopsy.

The Journal of urology Apr 21, 2021
PURPOSE: Targeted biopsy improves prostate cancer diagnosis. Accurate prostate segmentation on magnetic resonance imaging (MRI) is critical for accurate biopsy. Manual gland segmentation is tedious and time-consuming. We sought to develop a deep lear...
Feasibility Studies Datasets as Topic Proof of Concept Study Image-Guided Biopsy Magnetic Resonance Imaging, Interventional Multiparametric Magnetic Resonance Imaging Prostatic Neoplasms Prospective Studies Ultrasonography, Interventional Retrospective Studies Image Processing, Computer-Assisted Prostate Reproducibility of Results Multimodal Imaging Humans Software Male Deep Learning Time Factors
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