AIMC Topic: Neural Networks, Computer

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An integrated deep learning and dynamic programming method for predicting tumor suppressor genes, oncogenes, and fusion from PDB structures.

Computers in biology and medicine Apr 5, 2021
Mutations in proto-oncogenes (ONGO) and the loss of regulatory function of tumor suppression genes (TSG) are the common underlying mechanism for uncontrolled tumor growth. While cancer is a heterogeneous complex of distinct diseases, finding the pote...
Oncogenes Databases, Factual Deep Learning Genes, Tumor Suppressor Humans Neural Networks, Computer
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Prediction of PCR amplification from primer and template sequences using recurrent neural network.

Scientific reports Apr 5, 2021
We have developed a novel method to predict the success of PCR amplification for a specific primer set and DNA template based on the relationship between the primer sequence and the template. To perform the prediction using a recurrent neural network...
DNA Primers Computational Biology Base Sequence Neural Networks, Computer Algorithms Reproducibility of Results Polymerase Chain Reaction Templates, Genetic
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Application of artificial intelligence using a convolutional neural network for detecting cholesteatoma in endoscopic enhanced images.

Auris, nasus, larynx Apr 4, 2021
OBJECTIVE: We examined whether artificial intelligence (AI) used with the novel digital image enhancement system modalities (CLARA+CHROMA, SPECTRA A, and SPECTRA B) could distinguish the cholesteatoma matrix, cholesteatoma debris, and normal middle e...
Diagnosis, Differential Surgery, Computer-Assisted Image Enhancement Ear, Middle Cholesteatoma, Middle Ear Male Middle Aged Adolescent Adult Endoscopy Female Aged Aged, 80 and over Humans Neural Networks, Computer
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High-throughput label-free detection of DNA-to-RNA transcription inhibition using brightfield microscopy and deep neural networks.

Computers in biology and medicine Apr 4, 2021
Drug discovery is in constant evolution and major advances have led to the development of in vitro high-throughput technologies, facilitating the rapid assessment of cellular phenotypes. One such phenotype is immunogenic cell death, which occurs part...
DNA RNA Microscopy Neural Networks, Computer Cell Nucleus Image Processing, Computer-Assisted
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Artificial Neuron and Synapse Devices Based on 2D Materials.

Small (Weinheim an der Bergstrasse, Germany) Apr 4, 2021
Neuromorphic systems, which emulate neural functionalities of a human brain, are considered to be an attractive next-generation computing approach, with advantages of high energy efficiency and fast computing speed. After these neuromorphic systems a...
Neuronal Plasticity Neurons Synapses Neural Networks, Computer
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Prediction of Distal Aortic Enlargement after Proximal Repair of Aortic Dissection Using Machine Learning.

Annals of vascular surgery Apr 3, 2021
OBJECTIVES: This study aimed to construct a risk prediction model for distal aortic enlargement in patients with type B aortic dissection (TBAD) treated with proximal thoracic endovascular aortic repair (TEVAR).
Aortic Aneurysm, Thoracic Blood Vessel Prosthesis Implantation Endovascular Procedures Vascular Remodeling Aorta Aortic Rupture Treatment Outcome Support Vector Machine Aortic Dissection Risk Assessment Time Factors Humans Risk Factors Aged Adult Dilatation, Pathologic Male Middle Aged Electronic Health Records Clinical Decision-Making Neural Networks, Computer Female Decision Support Techniques Retrospective Studies
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Review of computer vision application in in vitro fertilization: the application of deep learning-based computer vision technology in the world of IVF.

Journal of assisted reproduction and genetics Apr 3, 2021
In vitro fertilization has been regarded as a forefront solution in treating infertility for over four decades, yet its effectiveness has remained relatively low. This could be attributed to the lack of advancements for the method of observing and se...
Fertilization in Vitro Treatment Outcome Cell Count Blastocyst Time-Lapse Imaging Female Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Pregnancy
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Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images.

Computer methods and programs in biomedicine Apr 3, 2021
BACKGROUND AND OBJECTIVE: The purpose of the present study was to investigate low-shot deep learning models applied to conjunctival melanoma detection using a small dataset with ocular surface images.
Humans Nevus, Pigmented Neural Networks, Computer Melanoma Skin Neoplasms Deep Learning
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Three-dimensional image volumes from two-dimensional digitally reconstructed radiographs: A deep learning approach in lower limb CT scans.

Medical physics Apr 3, 2021
PURPOSE: Three-dimensional (3D) reconstructions of the human anatomy have been available for surgery planning or diagnostic purposes for a few years now. The different image modalities usually rely on several consecutive two-dimensional (2D) acquisit...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Radiography Humans Neural Networks, Computer Tomography, X-Ray Computed Deep Learning
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A novel deep-learning-based approach for automatic reorientation of 3D cardiac SPECT images.

European journal of nuclear medicine and molecular imaging Apr 2, 2021
PURPOSE: Reconstructed transaxial cardiac SPECT images need to be reoriented into standard short-axis slices for subsequent accurate processing and analysis. We proposed a novel deep-learning-based method for fully automatic reorientation of cardiac ...
Image Processing, Computer-Assisted Humans Tomography, Emission-Computed, Single-Photon Neural Networks, Computer Deep Learning Imaging, Three-Dimensional
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