AIMC Topic: Computer Simulation

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Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits.

Proceedings of the National Academy of Sciences of the United States of America Aug 21, 2023
Genetic association studies have identified hundreds of independent signals associated with type 2 diabetes (T2D) and related traits. Despite these successes, the identification of specific causal variants underlying a genetic association signal rema...
Computer Simulation Deep Learning Diabetes Mellitus, Type 2 Genetic Variation Humans Enhancer Elements, Genetic Islets of Langerhans
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Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes.

Journal of biomedical informatics Aug 19, 2023
OBJECTIVE: We developed and evaluated a novel one-shot distributed algorithm for evidence synthesis in distributed research networks with rare outcomes.
Computer Simulation Meta-Analysis as Topic Machine Learning Algorithms
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Predicting transcriptional outcomes of novel multigene perturbations with GEARS.

Nature biotechnology Aug 17, 2023
Understanding cellular responses to genetic perturbation is central to numerous biomedical applications, from identifying genetic interactions involved in cancer to developing methods for regenerative medicine. However, the combinatorial explosion in...
Sequence Analysis, RNA Transcription, Genetic Gene Regulatory Networks Computational Biology Humans Computer Simulation Deep Learning Single-Cell Analysis
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Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim.

International journal of neural systems Aug 17, 2023
Spiking Neural Networks (SNNs) help achieve brain-like efficiency and functionality by building neurons and synapses that mimic the human brain's transmission of electrical signals. However, optimal SNN implementation requires a precise balance of pa...
Nerve Net Computer Simulation Algorithms Humans Brain Neural Networks, Computer
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Cohort profile for development of machine learning models to predict healthcare-related adverse events (Demeter): clinical objectives, data requirements for modelling and overview of data set for 2016-2018.

BMJ open Aug 17, 2023
PURPOSE: In-hospital health-related adverse events (HAEs) are a major concern for hospitals worldwide. In high-income countries, approximately 1 in 10 patients experience HAEs associated with their hospital stay. Estimating the risk of an HAE at the ...
Computer Simulation Female Humans Machine Learning Datasets as Topic Iatrogenic Disease Male Length of Stay Risk Assessment Cohort Studies
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SWsnn: A Novel Simulator for Spiking Neural Networks.

Journal of computational biology : a journal of computational molecular cell biology Aug 16, 2023
Spiking neural network (SNN) simulators play an important role in neural system modeling and brain function research. They can help scientists reproduce and explore neuronal activities in brain regions, neuroscience, brain-like computing, and other f...
Neural Networks, Computer Neurons Artificial Intelligence Brain Computer Simulation
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Enhanced wave overtopping simulation at vertical breakwaters using machine learning algorithms.

PloS one Aug 16, 2023
Accurate prediction of wave overtopping at sea defences remains central to the protection of lives, livelihoods, and infrastructural assets in coastal zones. In addressing the increased risks of rising sea levels and more frequent storm surges, robus...
Machine Learning Neural Networks, Computer Computer Simulation Algorithms Random Forest
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Advancing algorithmic drug product development: Recommendations for machine learning approaches in drug formulation.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Aug 9, 2023
Artificial intelligence is a rapidly expanding area of research, with the disruptive potential to transform traditional approaches in the pharmaceutical industry, from drug discovery and development to clinical practice. Machine learning, a subfield ...
Artificial Intelligence Reproducibility of Results Drug Compounding Machine Learning Computer Simulation
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Developing machine learning approaches to identify candidate persistent, mobile and toxic (PMT) and very persistent and very mobile (vPvM) substances based on molecular structure.

Water research Aug 9, 2023
Determining which substances on the global market could be classified as persistent, mobile and toxic (PMT) substances or very persistent, very mobile (vPvM) substances is essential to prevent or reduce drinking water contamination from them. This st...
Molecular Structure Environmental Pollutants Computer Simulation Machine Learning Algorithms
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Modelling and robust controller design for an underactuated self-balancing robot with uncertain parameter estimation.

PloS one Aug 9, 2023
A comprehensive literature review of self-balancing robot (SBR) provides an insight to the strengths and limitations of the available control techniques for different applications. Most of the researchers have not included the payload and its variati...
Uncertainty Gravitation Humans Robotics Computer Simulation Research Personnel
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