AIMC Topic: Mutation

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TB-DROP: deep learning-based drug resistance prediction of Mycobacterium tuberculosis utilizing whole genome mutations.

BMC genomics Feb 12, 2024
The most widely practiced strategy for constructing the deep learning (DL) prediction model for drug resistance of Mycobacterium tuberculosis (MTB) involves the adoption of ready-made and state-of-the-art architectures usually proposed for non-biolog...
Deep Learning Microbial Sensitivity Tests Mutation Humans Antitubercular Agents Tuberculosis Tuberculosis, Multidrug-Resistant Mycobacterium tuberculosis
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Accurate top protein variant discovery via low-N pick-and-validate machine learning.

Cell systems Feb 9, 2024
A strategy to obtain the greatest number of best-performing variants with least amount of experimental effort over the vast combinatorial mutational landscape would have enormous utility in boosting resource producibility for protein engineering. Tow...
Machine Learning Mutation Genome Protein Engineering Humans
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A systematic analysis of deep learning in genomics and histopathology for precision oncology.

BMC medical genomics Feb 5, 2024
BACKGROUND: Digitized histopathological tissue slides and genomics profiling data are available for many patients with solid tumors. In the last 5 years, Deep Learning (DL) has been broadly used to extract clinically actionable information and biolog...
Deep Learning Genomics Mutation Precision Medicine Neoplasms Humans
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Advances in next-generation sequencing and emerging technologies for hematologic malignancies.

Haematologica Feb 1, 2024
Innovations in molecular diagnostics have often evolved through the study of hematologic malignancies. Examples include the pioneering characterization of the Philadelphia chromosome by cytogenetics in the 1970s, the implementation of polymerase chai...
Mutation High-Throughput Nucleotide Sequencing Artificial Intelligence Polymerase Chain Reaction Hematologic Neoplasms Humans
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Next generation phenotyping for diagnosis and phenotype-genotype correlations in Kabuki syndrome.

Scientific reports Jan 28, 2024
The field of dysmorphology has been changed by the use Artificial Intelligence (AI) and the development of Next Generation Phenotyping (NGP). The aim of this study was to propose a new NGP model for predicting KS (Kabuki Syndrome) on 2D facial photog...
Histone Demethylases Mutation Humans Phenotype Abnormalities, Multiple Retrospective Studies Artificial Intelligence Hematologic Diseases Face Genotype Vestibular Diseases
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Using Vision Transformer for high robustness and generalization in predicting EGFR mutation status in lung adenocarcinoma.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico Jan 9, 2024
BACKGROUND: Lung adenocarcinoma is a common cause of cancer-related deaths worldwide, and accurate EGFR genotyping is crucial for optimal treatment outcomes. Conventional methods for identifying the EGFR genotype have several limitations. Therefore, ...
Humans Tomography, X-Ray Computed Aged Adult Female Adenocarcinoma of Lung Deep Learning Male Lung Neoplasms Middle Aged ErbB Receptors Mutation
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Deep learning-radiomics integrated noninvasive detection of epidermal growth factor receptor mutations in non-small cell lung cancer patients.

Scientific reports Jan 9, 2024
This study focused on a novel strategy that combines deep learning and radiomics to predict epidermal growth factor receptor (EGFR) mutations in patients with non-small cell lung cancer (NSCLC) using computed tomography (CT). A total of 1280 patients...
Humans Radiomics Carcinoma, Non-Small-Cell Lung Mutation Deep Learning ErbB Receptors Lung Neoplasms
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Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer.

Medical image analysis Jan 5, 2024
Colorectal cancer (CRC) is a primary global health concern, and identifying the molecular pathways, genetic subtypes, and mutations associated with CRC is crucial for precision medicine. However, traditional measurement techniques such as gene sequen...
Colorectal Neoplasms Social Network Analysis Mutation Deep Learning Humans Proto-Oncogene Proteins B-raf Microsatellite Instability
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Refining mutanome-based individualised immunotherapy of melanoma using artificial intelligence.

European journal of medical research Jan 5, 2024
Using the particular nature of melanoma mutanomes to develop medicines that activate the immune system against specific mutations is a game changer in immunotherapy individualisation. It offers a viable solution to the recent rise in resistance to ac...
Mutation Knowledge Humans Melanoma Immunotherapy Artificial Intelligence
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T6496 targeting EGFR mediated by T790M or C797S mutant: machine learning, virtual screening and bioactivity evaluation study.

Journal of biomolecular structure & dynamics Jan 4, 2024
Acquired resistance to EGFR is a major impediment in lung cancer treatment, highlighting the urgent need to discover novel compounds to overcome EGFR drug resistance. In this study, we utilized in silico methods and bioactivity evaluation for drug di...
Mutation Drug Resistance, Neoplasm ErbB Receptors Apoptosis Drug Screening Assays, Antitumor Protein Kinase Inhibitors Drug Discovery Antineoplastic Agents Protein Binding Cell Proliferation Cell Line, Tumor Humans Machine Learning Molecular Docking Simulation
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