AIMC Topic: Mutation

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Deep learning-based IDH1 gene mutation prediction using histopathological imaging and clinical data.

Computers in biology and medicine Jul 21, 2024
In the field of histopathology, many studies on the classification of whole slide images (WSIs) using artificial intelligence (AI) technology have been reported. We have studied the disease progression assessment of glioma. Adult-type diffuse gliomas...
Brain Neoplasms Humans Male Glioma Middle Aged Mutation Deep Learning Isocitrate Dehydrogenase Female Adult
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Novel Artificial Intelligence Combining Convolutional Neural Network and Support Vector Machine to Predict Colorectal Cancer Prognosis and Mutational Signatures From Hematoxylin and Eosin Images.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Jul 15, 2024
Reducing recurrence following radical resection of colon cancer without overtreatment or undertreatment remains a challenge. Postoperative adjuvant chemotherapy (Adj) is currently administered based solely on pathologic TNM stage. However, prognosis ...
Middle Aged Support Vector Machine Neoplasm Staging Mutation Neoplasm Recurrence, Local Eosine Yellowish-(YS) Hematoxylin Female Aged Colorectal Neoplasms Male Neural Networks, Computer Artificial Intelligence Prognosis Humans
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Improving the performance of mutation-based evolving artificial neural networks with self-adaptive mutations.

PloS one Jul 15, 2024
Neuroevolution is a promising approach for designing artificial neural networks using an evolutionary algorithm. Unlike recent trending methods that rely on gradient-based algorithms, neuroevolution can simultaneously evolve the topology and weights ...
Neural Networks, Computer Algorithms Mutation
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Habitat radiomics and deep learning fusion nomogram to predict EGFR mutation status in stage I non-small cell lung cancer: a multicenter study.

Scientific reports Jul 10, 2024
Develop a radiomics nomogram that integrates deep learning, radiomics, and clinical variables to predict epidermal growth factor receptor (EGFR) mutation status in patients with stage I non-small cell lung cancer (NSCLC). We retrospectively included ...
Female Aged Aged, 80 and over Adult Humans Retrospective Studies Tomography, X-Ray Computed ROC Curve Lung Neoplasms Nomograms Carcinoma, Non-Small-Cell Lung Radiomics Male Middle Aged Deep Learning Neoplasm Staging Mutation ErbB Receptors
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CHNet: A multi-task global-local Collaborative Hybrid Network for KRAS mutation status prediction in colorectal cancer.

Artificial intelligence in medicine Jul 5, 2024
Accurate prediction of Kirsten rat sarcoma (KRAS) mutation status is crucial for personalized treatment of advanced colorectal cancer patients. However, despite the excellent performance of deep learning models in certain aspects, they often overlook...
Humans Proto-Oncogene Proteins p21(ras) Neural Networks, Computer Colorectal Neoplasms Deep Learning Mutation
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Zero-shot prediction of mutation effects with multimodal deep representation learning guides protein engineering.

Cell research Jul 5, 2024
Mutations in amino acid sequences can provoke changes in protein function. Accurate and unsupervised prediction of mutation effects is critical in biotechnology and biomedicine, but remains a fundamental challenge. To resolve this challenge, here we ...
Protein Engineering Humans Deep Learning Mutation Gene Editing
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Prediction of molecular subclasses of uveal melanoma by deep learning using routine haematoxylin-eosin-stained tissue slides.

Histopathology Jul 1, 2024
AIMS: Uveal melanoma has a high propensity to metastasize. Prognosis is associated with specific driver mutations and copy number variations, and these can only be obtained after genetic testing. In this study we evaluated the efficacy of patient out...
Deep Learning Humans Uveal Neoplasms Staining and Labeling Prognosis Ubiquitin Thiolesterase Mutation Retrospective Studies Uveal Melanoma Phosphoproteins Female Eukaryotic Initiation Factor-1 Adult Tumor Suppressor Proteins Male Melanoma Eosine Yellowish-(YS) Aged Middle Aged Hematoxylin Aged, 80 and over RNA Splicing Factors
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Multi omics analysis of mitophagy subtypes and integration of machine learning for predicting immunotherapy responses in head and neck squamous cell carcinoma.

Aging Jun 21, 2024
Mitophagy serves as a critical mechanism for tumor cell death, significantly impacting the progression of tumors and their treatment approaches. There are significant challenges in treating patients with head and neck squamous cell carcinoma, undersc...
Immunotherapy Humans Head and Neck Neoplasms Multiomics Machine Learning DNA Copy Number Variations Gene Expression Regulation, Neoplastic Prognosis Mutation Squamous Cell Carcinoma of Head and Neck Mitophagy
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Improving the Detection of Potential Cases of Familial Hypercholesterolemia: Could Machine Learning Be Part of the Solution?

Journal of the American Heart Association Jun 15, 2024
BACKGROUND: Familial hypercholesterolemia (FH), while highly prevalent, is a significantly underdiagnosed monogenic disorder. Improved detection could reduce the large number of cardiovascular events attributable to poor case finding. We aimed to ass...
United Kingdom Exome Sequencing Proprotein Convertase 9 Apolipoprotein B-100 Receptors, LDL Predictive Value of Tests Mutation Humans Genetic Testing Machine Learning Hyperlipoproteinemia Type II Female Male Adult Middle Aged Genetic Predisposition to Disease
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A Machine Learning Approach to Identify Key Residues Involved in Protein-Protein Interactions Exemplified with SARS-CoV-2 Variants.

International journal of molecular sciences Jun 13, 2024
Human infection with the coronavirus disease 2019 (COVID-19) is mediated by the binding of the spike protein of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to the human angiotensin-converting enzyme 2 (ACE2). The frequent mutatio...
Protein Binding Humans Molecular Dynamics Simulation Spike Glycoprotein, Coronavirus Machine Learning Mutation Angiotensin-Converting Enzyme 2 COVID-19 Binding Sites SARS-CoV-2 Protein Interaction Domains and Motifs
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