AIMC Topic: Models, Biological

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Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic Images.

Journal of chemical information and modeling Aug 15, 2018
The majority of computational methods for predicting toxicity of chemicals are typically based on "nonmechanistic" cheminformatics solutions, relying on an arsenal of QSAR descriptors, often vaguely associated with chemical structures, and typically ...
Humans Algorithms Drug Discovery Deep Learning Drug-Related Side Effects and Adverse Reactions Small Molecule Libraries Computer Graphics Databases, Pharmaceutical Models, Chemical Pharmaceutical Preparations Models, Biological
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Mechanical Design and Control Strategy for Hip Joint Power Assisting.

Journal of healthcare engineering Aug 15, 2018
The basic requirements for mechanical design and control strategy are adapting to human joint movements and building an interaction model between human and robot. In this paper, a 3-UPS parallel mechanism is adopted to realize that the instantaneous ...
Stress, Mechanical Humans Walking Hip Joint Computer Simulation Movement Biomechanical Phenomena Models, Biological Exoskeleton Device Rotation Muscle, Skeletal Robotics Equipment Design Electromyography
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Automated Gleason grading of prostate cancer tissue microarrays via deep learning.

Scientific reports Aug 13, 2018
The Gleason grading system remains the most powerful prognostic predictor for patients with prostate cancer since the 1960s. Its application requires highly-trained pathologists, is tedious and yet suffers from limited inter-pathologist reproducibili...
Prognosis Reproducibility of Results Male Middle Aged Humans Neoplasm Grading Prostate Feasibility Studies Models, Biological Deep Learning Cohort Studies Prostatic Neoplasms Survival Analysis Tissue Array Analysis
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Prediction of bioconcentration factors in fish and invertebrates using machine learning.

The Science of the total environment Aug 10, 2018
The application of machine learning has recently gained interest from ecotoxicological fields for its ability to model and predict chemical and/or biological processes, such as the prediction of bioconcentration. However, comparison of different mode...
Ecotoxicology Amphipoda Machine Learning Animals Water Pollutants, Chemical Environmental Exposure Pharmaceutical Preparations Models, Biological Carps
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Boosting support vector machines for cancer discrimination tasks.

Computers in biology and medicine Aug 10, 2018
Cancer is a complex disease that is caused by rapid alteration of genes. Prediction of the state of cancer in advance contributes to a better understanding of its mechanism and improves the cancer therapy process. For example, predicting the malignan...
Gene Expression Regulation, Neoplastic Support Vector Machine Predictive Value of Tests Models, Biological Humans Neoplasms
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Clinical prediction of HBV and HCV related hepatic fibrosis using machine learning.

EBioMedicine Aug 10, 2018
Clinical prediction of advanced hepatic fibrosis (HF) and cirrhosis has long been challenging due to the gold standard, liver biopsy, being an invasive approach with certain limitations. Less invasive blood test tandem with a cutting-edge machine lea...
Internet Models, Biological Hepacivirus Male Middle Aged Cohort Studies ROC Curve Hepatitis B virus Liver Cirrhosis Area Under Curve Machine Learning Female Reproducibility of Results Adult Humans
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A Machine Learning Approach for Predicting HIV Reverse Transcriptase Mutation Susceptibility of Biologically Active Compounds.

Journal of chemical information and modeling Jul 17, 2018
HIV resistance emerging against antiretroviral drugs represents a great threat to the continued prolongation of the lifespans of HIV-infected patients. Therefore, methods capable of predicting resistance susceptibility in the development of compounds...
Humans Machine Learning HIV Reverse Transcriptase Point Mutation Models, Biological HIV-1 Drug Discovery Reverse Transcriptase Inhibitors HIV Infections Drug Resistance, Viral Bayes Theorem
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Reinforcement learning for solution updating in Artificial Bee Colony.

PloS one Jul 17, 2018
In the Artificial Bee Colony (ABC) algorithm, the employed bee and the onlooker bee phase involve updating the candidate solutions by changing a value in one dimension, dubbed one-dimension update process. For some problems which the number of dimens...
Animals Social Behavior Models, Biological Reinforcement, Social Artificial Intelligence Bees Behavior, Animal Machine Learning Algorithms
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Exploring the clinical features of narcolepsy type 1 versus narcolepsy type 2 from European Narcolepsy Network database with machine learning.

Scientific reports Jul 13, 2018
Narcolepsy is a rare life-long disease that exists in two forms, narcolepsy type-1 (NT1) or type-2 (NT2), but only NT1 is accepted as clearly defined entity. Both types of narcolepsies belong to the group of central hypersomnias (CH), a spectrum of p...
Rare Diseases Narcolepsy Polysomnography Sleep, REM Sleep Latency Models, Biological Supervised Machine Learning Datasets as Topic Stochastic Processes Male ROC Curve Data Interpretation, Statistical Databases, Factual Female Humans Young Adult Adult
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On the use of machine learning techniques for the mechanical characterization of soft biological tissues.

International journal for numerical methods in biomedical engineering Jul 12, 2018
Motivated by the search for new strategies for fitting a material model, a new approach is explored in the present work. The use of numerical and complex algorithms based on machine learning techniques such as support vector machines for regression, ...
Blood Vessels Humans Neural Networks, Computer Machine Learning Models, Biological Stress, Mechanical
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