AIMC Topic: Mutation

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Editorial for "Preoperative Discrimination of CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytoma: A Deep Learning-Based Radiomics Model Using MRI".

Journal of magnetic resonance imaging : JMRI Jun 12, 2023
Brain Neoplasms Deep Learning Humans Radiomics Mutation Isocitrate Dehydrogenase Magnetic Resonance Imaging Cyclin-Dependent Kinase Inhibitor p16 Sequence Deletion Homozygote Astrocytoma
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An enhanced grey wolf optimizer boosted machine learning prediction model for patient-flow prediction.

Computers in biology and medicine Jun 9, 2023
Large and medium-sized general hospitals have adopted artificial intelligence big data systems to optimize the management of medical resources to improve the quality of hospital outpatient services and decrease patient wait times in recent years as a...
Machine Learning Algorithms Mutation Environment Artificial Intelligence
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Plasma Exosome Analysis for Protein Mutation Identification Using a Combination of Raman Spectroscopy and Deep Learning.

ACS sensors Jun 6, 2023
Protein mutation detection using liquid biopsy can be simply performed periodically, making it easy to detect the occurrence of newly emerging mutations rapidly. However, it has low diagnostic accuracy since there are more normal proteins than mutate...
ErbB Receptors Deep Learning Protein Kinase Inhibitors Mutation Lung Neoplasms Spectrum Analysis, Raman Humans Exosomes Carcinoma, Non-Small-Cell Lung
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Harnessing deep learning into hidden mutations of neurological disorders for therapeutic challenges.

Archives of pharmacal research Jun 1, 2023
The relevant study of transcriptome-wide variations and neurological disorders in the evolved field of genomic data science is on the rise. Deep learning has been highlighted utilizing algorithms on massive amounts of data in a human-like manner, and...
Deep Learning Mutation Nervous System Diseases Humans Transcriptome
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Deep learning model accurately classifies metastatic tumors from primary tumors based on mutational signatures.

Scientific reports May 30, 2023
Metastatic propagation is the leading cause of death for most cancers. Prediction and elucidation of metastatic process is crucial for the treatment of cancer. Even though somatic mutations have been linked to tumorigenesis and metastasis, it is less...
Mutation Mutagenesis Deep Learning Carcinogenesis Humans Neoplasms
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Biologically Interpretable Deep Learning To Predict Response to Immunotherapy In Advanced Melanoma Using Mutations and Copy Number Variations.

Journal of immunotherapy (Hagerstown, Md. : 1997) May 24, 2023
Only 30-40% of advanced melanoma patients respond effectively to immunotherapy in clinical practice, so it is necessary to accurately identify the response of patients to immunotherapy pre-clinically. Here, we develop KP-NET, a deep learning model th...
Deep Learning B7-H1 Antigen Immunotherapy DNA Copy Number Variations Humans Melanoma Mutation
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CoVEffect: interactive system for mining the effects of SARS-CoV-2 mutations and variants based on deep learning.

GigaScience May 23, 2023
BACKGROUND: Literature about SARS-CoV-2 widely discusses the effects of variations that have spread in the past 3 years. Such information is dispersed in the texts of several research articles, hindering the possibility of practically integrating it ...
Mutation SARS-CoV-2 Humans Deep Learning Kinetics COVID-19
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PM2.5 concentration prediction using weighted CEEMDAN and improved LSTM neural network.

Environmental science and pollution research international May 22, 2023
As the core of pollution prevention and management, accurate PM2.5 concentration prediction is crucial for human survival. However, due to the nonstationarity and nonlinearity of PM2.5 concentration data, the accurate prediction for PM2.5 concentrati...
Particulate Matter Humans Neural Networks, Computer Mutation Algorithms Environmental Pollution
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High-throughput deep learning variant effect prediction with Sequence UNET.

Genome biology May 9, 2023
Understanding coding mutations is important for many applications in biology and medicine but the vast mutation space makes comprehensive experimental characterisation impossible. Current predictors are often computationally intensive and difficult t...
Data Compression Proteomics Mutation Deep Learning
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Preliminary evaluation of deep learning for first-line diagnostic prediction of tumor mutational status.

Scientific reports Apr 28, 2023
The detection of tumour gene mutations by DNA or RNA sequencing is crucial for the prescription of effective targeted therapies. Recent developments showed promising results for tumoral mutational status prediction using new deep learning based metho...
Mutation Oncogenes Retrospective Studies Deep Learning Humans Neural Networks, Computer
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