AIMC Topic: Informatics

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Matini-Net: Versatile Material Informatics Research Framework for Feature Engineering and Deep Neural Network Design.

Journal of chemical information and modeling Nov 21, 2024
In this study, we introduced Matini-Net, which is a versatile framework for feature engineering and automated architecture design for materials informatics research using deep neural networks. Matini-Net provides the flexibility to design feature-bas...
Deep Learning Informatics Materials Science Neural Networks, Computer
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Frontiers in nonviral delivery of small molecule and genetic drugs, driven by polymer chemistry and machine learning for materials informatics.

Chemical communications (Cambridge, England) Nov 30, 2023
Materials informatics (MI) has immense potential to accelerate the pace of innovation and new product development in biotechnology. Close collaborations between skilled physical and life scientists with data scientists are being established in pursui...
Polymers Pharmaceutical Preparations Artificial Intelligence Machine Learning Informatics
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Laboratory automation, informatics, and artificial intelligence: current and future perspectives in clinical microbiology.

Frontiers in cellular and infection microbiology Jun 27, 2023
Clinical diagnostic laboratories produce one product-information-and for this to be valuable, the information must be clinically relevant, accurate, and timely. Although diagnostic information can clearly improve patient outcomes and decrease healthc...
Humans Artificial Intelligence Informatics Automation, Laboratory Laboratories
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A Comprehensive Survey on Federated Learning Techniques for Healthcare Informatics.

Computational intelligence and neuroscience Mar 1, 2023
Healthcare is predominantly regarded as a crucial consideration in promoting the general physical and mental health and well-being of people around the world. The amount of data generated by healthcare systems is enormous, making it challenging to ma...
Humans Machine Learning Motivation Informatics Prospective Studies Mental Health
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Open data and algorithms for open science in AI-driven molecular informatics.

Current opinion in structural biology Feb 17, 2023
Recent years have seen a sharp increase in the development of deep learning and artificial intelligence-based molecular informatics. There has been a growing interest in applying deep learning to several subfields, including the digital transformatio...
Artificial Intelligence Machine Learning Algorithms Informatics Software
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NIFtHool: an informatics program for identification of NifH proteins using deep neural networks.

F1000Research Feb 9, 2022
Atmospheric nitrogen fixation carried out by microorganisms has environmental and industrial importance, related to the increase of soil fertility and productivity. The present work proposes the development of a new high precision system that allows ...
Informatics Oxidoreductases Neural Networks, Computer Bacteria Bacterial Proteins Phylogeny
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Livestock Informatics Toolkit: A Case Study in Visually Characterizing Complex Behavioral Patterns across Multiple Sensor Platforms, Using Novel Unsupervised Machine Learning and Information Theoretic Approaches.

Sensors (Basel, Switzerland) Dec 21, 2021
Large and densely sampled sensor datasets can contain a range of complex stochastic structures that are difficult to accommodate in conventional linear models. This can confound attempts to build a more complete picture of an animal's behavior by agg...
Informatics Unsupervised Machine Learning Milk Farms Cattle Pregnancy Animals Livestock Female
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JAMIP: an artificial-intelligence aided data-driven infrastructure for computational materials informatics.

Science bulletin Jun 15, 2021
Materials informatics has emerged as a promisingly new paradigm for accelerating materials discovery and design. It exploits the intelligent power of machine learning methods in massive materials data from experiments or simulations to seek new mater...
Informatics Reproducibility of Results Intelligence Artificial Intelligence Machine Learning
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Weighted multiscale support vector regression for fast quantification of vegetable oils in edible blend oil by ultraviolet-visible spectroscopy.

Food chemistry Sep 30, 2020
Weighted multiscale support vector regression combined with ultraviolet-visible (UV-Vis) spectra for quantitative analysis of edible blend oil is proposed. In the approach, UV-Vis spectra of the training set are decomposed into a certain number of in...
Support Vector Machine Plant Oils Informatics Spectrophotometry, Ultraviolet Least-Squares Analysis Data Analysis Time Factors
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Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram.

European radiology Feb 17, 2020
PURPOSE: To develop and identify a MRI-based radiomics nomogram for the preoperative prediction of parametrial invasion (PMI) in patients with early-stage cervical cancer (ECC).
Informatics Diffusion Magnetic Resonance Imaging Support Vector Machine Reproducibility of Results Age Factors Retrospective Studies Humans Aged Middle Aged Female Adult Algorithms Neoplasm Grading Nomograms Magnetic Resonance Imaging Peritoneum Uterine Cervical Neoplasms Hysterectomy Neoplasm Invasiveness
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