AIMC Topic:
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The EU medical device regulation: Implications for artificial intelligence-based medical device software in medical physics.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 28, 2021
Medical device manufacturers are increasingly applying artificial intelligence (AI) to innovate their products and to improve patient outcomes. Health institutions are also developing their own algorithms, to address specific needs for which no comme...
Humans Algorithms Artificial Intelligence Physics Software Medical Device Legislation
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An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks.

Neural networks : the official journal of the International Neural Network Society Feb 27, 2021
Network initialization is the first and critical step for training neural networks. In this paper, we propose a novel network initialization scheme based on the celebrated Stein's identity. By viewing multi-layer feedforward sigmoidal neural networks...
Machine Learning Software
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Design of experiment (DOE) applied to artificial neural network architecture enables rapid bioprocess improvement.

Bioprocess and biosystems engineering Feb 27, 2021
Modern bioprocess development employs statistically optimized design of experiments (DOE) and regression modeling to find optimal bioprocess set points. Using modeling software, such as JMP Pro, it is possible to leverage artificial neural networks (...
Software Models, Biological Neural Networks, Computer
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Androgen Receptor Binding Category Prediction with Deep Neural Networks and Structure-, Ligand-, and Statistically Based Features.

Molecules (Basel, Switzerland) Feb 26, 2021
Substances that can modify the androgen receptor pathway in humans and animals are entering the environment and food chain with the proven ability to disrupt hormonal systems and leading to toxicity and adverse effects on reproduction, brain developm...
Ligands Humans Receptors, Androgen Neural Networks, Computer Protein Binding Rats Algorithms Software Proteins Logistic Models Animals Deep Learning
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Improved protein structure refinement guided by deep learning based accuracy estimation.

Nature communications Feb 26, 2021
We develop a deep learning framework (DeepAccNet) that estimates per-residue accuracy and residue-residue distance signed error in protein models and uses these predictions to guide Rosetta protein structure refinement. The network uses 3D convolutio...
Algorithms Deep Learning Computational Biology Models, Biological Caspases Proteins Models, Molecular Software Protein Conformation
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Cryo-Electron Microscopic Grid Preparation for Time-Resolved Studies using a Novel Robotic System, Spotiton.

Journal of visualized experiments : JoVE Feb 25, 2021
The capture of short-lived molecular states triggered by the early encounter of two or more interacting particles continues to be an experimental challenge of great interest to the field of cryo-electron microscopy (cryo-EM). A few methodological str...
Cryoelectron Microscopy Robotics Software Freezing User-Computer Interface Humidity Time Factors
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Intraoral radiograph anatomical region classification using neural networks.

International journal of computer assisted radiology and surgery Feb 24, 2021
PURPOSE: Dental radiography represents 13% of all radiological diagnostic imaging. Eliminating the need for manual classification of digital intraoral radiographs could be especially impactful in terms of time savings and metadata quality. However, a...
Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Radiography, Dental Female Reproducibility of Results Adult Male Middle Aged Models, Statistical Software Computer Simulation Retrospective Studies Humans Neural Networks, Computer
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Universal probabilistic programming offers a powerful approach to statistical phylogenetics.

Communications biology Feb 24, 2021
Statistical phylogenetic analysis currently relies on complex, dedicated software packages, making it difficult for evolutionary biologists to explore new models and inference strategies. Recent years have seen more generic solutions based on probabi...
Biological Evolution Models, Statistical Animals Data Interpretation, Statistical Artificial Intelligence Birds Monte Carlo Method Bayes Theorem Programming Languages Software Phylogeny Biostatistics Probability
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DeepCys: Structure-based multiple cysteine function prediction method trained on deep neural network: Case study on domains of unknown functions belonging to COX2 domains.

Proteins Feb 22, 2021
Cysteine (Cys) is the most reactive amino acid participating in a wide range of biological functions. In-silico predictions complement the experiments to meet the need of functional characterization. Multiple Cys function prediction algorithm is scar...
Sulfides Glutathione Disulfides Models, Molecular Protein Processing, Post-Translational Protein Domains Structure-Activity Relationship Protein Structure, Secondary Amino Acid Sequence Software Electron Transport Complex IV Sulfonic Acids Deep Learning Nitroso Compounds Sulfinic Acids Cysteine Cations, Divalent
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Rapid 3D phenotypic analysis of neurons and organoids using data-driven cell segmentation-free machine learning.

PLoS computational biology Feb 22, 2021
Phenotypic profiling of large three-dimensional microscopy data sets has not been widely adopted due to the challenges posed by cell segmentation and feature selection. The computational demands of automated processing further limit analysis of hard-...
Humans Machine Learning Software Animals Imaging, Three-Dimensional Image Processing, Computer-Assisted Mice Algorithms Phenotype Brain Programming Languages Autophagy Apoptosis Mammary Glands, Human Microscopy, Fluorescence Mice, Inbred C57BL Organoids Neurons Cell Line
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