AIMC Topic: Mutation

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Building a Risk Scoring Model for ARDS in Lung Adenocarcinoma Patients Using Machine Learning Algorithms.

Journal of cellular and molecular medicine Dec 1, 2024
Lung adenocarcinoma (LUAD), the predominant form of non-small-cell lung cancer, is frequently complicated by acute respiratory distress syndrome (ARDS), which increases mortality risks. Investigating the prognostic implications of ARDS-related genes ...
Biomarkers, Tumor Male Risk Assessment Prognosis Female Risk Factors Respiratory Distress Syndrome DNA Copy Number Variations Mutation Adenocarcinoma of Lung Gene Expression Profiling Lung Neoplasms Gene Expression Regulation, Neoplastic Humans Machine Learning Algorithms
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Raman-based machine-learning platform reveals unique metabolic differences between IDHmut and IDHwt glioma.

Neuro-oncology Nov 4, 2024
BACKGROUND: Formalin-fixed, paraffin-embedded (FFPE) tissue slides are routinely used in cancer diagnosis, clinical decision-making, and stored in biobanks, but their utilization in Raman spectroscopy-based studies has been limited due to the backgro...
DNA Methylation Mutation Isocitrate Dehydrogenase Brain Neoplasms Spectrum Analysis, Raman Humans Glioma Machine Learning Biomarkers, Tumor
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Deep learning-based analysis of EGFR mutation prevalence in lung adenocarcinoma H&E whole slide images.

The journal of pathology. Clinical research Nov 1, 2024
EGFR mutations are a major prognostic factor in lung adenocarcinoma. However, current detection methods require sufficient samples and are costly. Deep learning is promising for mutation prediction in histopathological image analysis but has limitati...
ErbB Receptors Adenocarcinoma of Lung Mutation Image Interpretation, Computer-Assisted DNA Mutational Analysis Female Deep Learning Lung Neoplasms Humans
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Diffusion-weighted MRI precisely predicts telomerase reverse transcriptase promoter mutation status in World Health Organization grade IV gliomas using a residual convolutional neural network.

The British journal of radiology Nov 1, 2024
OBJECTIVES: Telomerase reverse transcriptase promoter (pTERT) mutation status plays a key role in making decisions and predicting prognoses for patients with World Health Organization (WHO) grade IV glioma. This study was conducted to assess the valu...
Male Middle Aged Glioma Aged Adult Brain Neoplasms World Health Organization Promoter Regions, Genetic Diffusion Magnetic Resonance Imaging Telomerase Predictive Value of Tests Neoplasm Grading Mutation Neural Networks, Computer Retrospective Studies Female Humans
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Gene-Specific Machine Learning Models to Classify Driver Mutations in Clonal Hematopoiesis.

Cancer discovery Sep 4, 2024
There is no general consensus on the set of mutations capable of driving the age-related clonal expansions in hematopoietic stem cells known as clonal hematopoiesis, and current variant classifications typically rely on rules derived from expert know...
Mutation Clonal Hematopoiesis Humans Machine Learning
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Identification of Clonal Hematopoiesis Driver Mutations through In Silico Saturation Mutagenesis.

Cancer discovery Sep 4, 2024
Clonal hematopoiesis (CH) is a phenomenon of clonal expansion of hematopoietic stem cells driven by somatic mutations affecting certain genes. Recently, CH has been linked to the development of hematologic malignancies, cardiovascular diseases, and o...
Machine Learning Computer Simulation Hematologic Neoplasms Clonal Hematopoiesis Mutation Mutagenesis Humans
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Machine learning enables pan-cancer identification of mutational hotspots at persistent CTCF binding sites.

Nucleic acids research Aug 12, 2024
CCCTC-binding factor (CTCF) is an insulator protein that binds to a highly conserved DNA motif and facilitates regulation of three-dimensional (3D) nuclear architecture and transcription. CTCF binding sites (CTCF-BSs) reside in non-coding DNA and are...
Neoplasms Protein Binding Prostatic Neoplasms Mutation Binding Sites Chromatin Female Breast Neoplasms Male Humans Machine Learning CCCTC-Binding Factor
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Predicting tumor mutation burden and VHL mutation from renal cancer pathology slides with self-supervised deep learning.

Cancer medicine Aug 1, 2024
BACKGROUND: Tumor mutation burden (TMB) and VHL mutation play a crucial role in the management of patients with clear cell renal cell carcinoma (ccRCC), such as guiding adjuvant chemotherapy and improving clinical outcomes. However, the time-consumin...
Deep Learning Carcinoma, Renal Cell Humans Biomarkers, Tumor Von Hippel-Lindau Tumor Suppressor Protein Mutation Male Female Middle Aged Kidney Neoplasms Aged
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Protein multi-level structure feature-integrated deep learning method for mutational effect prediction.

Biotechnology journal Aug 1, 2024
Through iterative rounds of mutation and selection, proteins can be engineered to enhance their desired biological functions. Nevertheless, identifying optimal mutation sites for directed evolution remains challenging due to the vastness of the prote...
Computational Biology Protein Engineering Proteins Databases, Protein Deep Learning Mutation
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DDMut-PPI: predicting effects of mutations on protein-protein interactions using graph-based deep learning.

Nucleic acids research Jul 5, 2024
Protein-protein interactions (PPIs) play a vital role in cellular functions and are essential for therapeutic development and understanding diseases. However, current predictive tools often struggle to balance efficiency and precision in predicting t...
Mutation Protein Interaction Maps Protein Interaction Mapping Protein Binding Point Mutation Proteins Humans Software Deep Learning
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