AIMC Topic: Signal Transduction
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Combined High-Throughput Proteomics and Random Forest Machine-Learning Approach Differentiates and Classifies Metabolic, Immune, Signaling and ECM Intra-Tumor Heterogeneity of Colorectal Cancer.
Cells
Aug 6, 2024
Colorectal cancer (CRC) is a frequent, worldwide tumor described for its huge complexity, including inter-/intra-heterogeneity and tumor microenvironment (TME) variability. Intra-tumor heterogeneity and its connections with metabolic reprogramming an...
Deep-learning-based design of synthetic orthologs of SH3 signaling domains.
Cell systems
Aug 5, 2024
Evolution-based deep generative models represent an exciting direction in understanding and designing proteins. An open question is whether such models can learn specialized functional constraints that control fitness in specific biological contexts....
SAFER: sub-hypergraph attention-based neural network for predicting effective responses to dose combinations.
BMC bioinformatics
Jul 30, 2024
BACKGROUND: The potential benefits of drug combination synergy in cancer medicine are significant, yet the risks must be carefully managed due to the possibility of increased toxicity. Although artificial intelligence applications have demonstrated n...
Abnormal genes and pathways that drive muscle contracture from brachial plexus injuries: Towards machine learning approach.
SLAS technology
Jul 20, 2024
In order to clarify the pathways closely linked to denervated muscle contracture, this work uses IoMT-enabled healthcare stratergies to examine changes in gene expression patterns inside atrophic muscles following brachial plexus damage. The gene exp...
Deep learning-based pathway-centric approach to characterize recurrent hepatocellular carcinoma after liver transplantation.
Human genomics
Jun 5, 2024
BACKGROUND: Liver transplantation (LT) is offered as a cure for Hepatocellular carcinoma (HCC), however 15-20% develop recurrence post-transplant which tends to be aggressive. In this study, we examined the transcriptome profiles of patients with rec...
Gene Expression Regulation, Neoplastic
Signal Transduction
Neoplasm Recurrence, Local
Liver Transplantation
Carcinoma, Hepatocellular
Protein Interaction Maps
Gene Regulatory Networks
Biomarkers, Tumor
Male
Middle Aged
Deep Learning
Liver Neoplasms
Gene Expression Profiling
Transcriptome
Humans
Female
Integrated bioinformatics combined with machine learning to analyze shared biomarkers and pathways in psoriasis and cervical squamous cell carcinoma.
Frontiers in immunology
May 28, 2024
BACKGROUND: Psoriasis extends beyond its dermatological inflammatory manifestations, encompassing systemic inflammation. Existing studies have indicated a potential risk of cervical cancer among patients with psoriasis, suggesting a potential mechani...
Gene Expression Profiling
HeLa Cells
Databases, Genetic
Carcinoma, Squamous Cell
Transcriptome
Gene Expression Regulation, Neoplastic
Psoriasis
Biomarkers, Tumor
Humans
Protein Interaction Maps
Signal Transduction
MicroRNAs
Gene Regulatory Networks
Uterine Cervical Neoplasms
Machine Learning
Computational Biology
Female
Identification of key genes and biological pathways associated with vascular aging in diabetes based on bioinformatics and machine learning.
Aging
May 27, 2024
Vascular aging exacerbates diabetes-associated vascular damage, a major cause of microvascular and macrovascular complications. This study aimed to elucidate key genes and pathways underlying vascular aging in diabetes using integrated bioinformatics...
Identification of LPCAT1 as a key biomarker for Crohn's disease based on bioinformatics and machine learnings and experimental verification.
Gene
May 3, 2024
Epithelial-mesenchymal transition (EMT) plays a crucial role in regulating inflammatory responses and fibrosis formation. This study aims to explore the molecular mechanisms of EMT-related genes in Crohn's disease (CD) through bioinformatics methods ...
Exploratory drug discovery in breast cancer patients: A multimodal deep learning approach to identify novel drug candidates targeting RTK signaling.
Computers in biology and medicine
Apr 16, 2024
Breast cancer, a highly formidable and diverse malignancy predominantly affecting women globally, poses a significant threat due to its intricate genetic variability, rendering it challenging to diagnose accurately. Various therapies such as immunoth...
Deciphering Ferroptosis: From Molecular Pathways to Machine Learning-Guided Therapeutic Innovation.
Molecular biotechnology
Apr 13, 2024
Ferroptosis is a unique form of cell death reliant on iron and lipid peroxidation. It disrupts redox balance, causing cell death by damaging the plasma membrane, with inducers acting through enzymatic pathways or transport systems. In cancer treatmen...
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