AIMC Topic: Molecular Targeted Therapy

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Discovering genetic biomarkers for targeted cancer therapeutics with eXplainable Artificial Intelligence.

Cancer communications (London, England) Apr 2, 2024
Biomarkers, Tumor Neoplasms Genetic Markers Molecular Targeted Therapy Humans Artificial Intelligence
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Leveraging AI to identify dual-purpose aging and disease targets.

Expert opinion on therapeutic targets Dec 1, 2023
Humans Artificial Intelligence Animals Aging Molecular Targeted Therapy
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Data Centric Molecular Analysis and Evaluation of Hepatocellular Carcinoma Therapeutics Using Machine Intelligence-Based Tools.

Journal of gastrointestinal cancer Dec 15, 2021
PURPOSE: Computational approaches have been used at different stages of drug development with the purpose of decreasing the time and cost of conventional experimental procedures. Lately, techniques mainly developed and applied in the field of artific...
Computational Biology Drug Development Molecular Targeted Therapy Humans Liver Neoplasms Artificial Intelligence Carcinoma, Hepatocellular Antineoplastic Agents
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Methodological advances in the discovery of novel neuroblastoma therapeutics.

Expert opinion on drug discovery Nov 22, 2021
INTRODUCTION: Neuroblastoma is a cancer of the sympathetic nervous system that causes up to 15% of cancer-related deaths among children. Among the ~1,000 newly diagnosed cases per year in Europe, more than half are classified as high-risk, with a 5-y...
Molecular Targeted Therapy Humans Neuroblastoma Child Artificial Intelligence Immunotherapy Combined Modality Therapy
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Artificial intelligence guided discovery of a barrier-protective therapy in inflammatory bowel disease.

Nature communications Jul 12, 2021
Modeling human diseases as networks simplify complex multi-cellular processes, helps understand patterns in noisy data that humans cannot find, and thereby improves precision in prediction. Using Inflammatory Bowel Disease (IBD) as an example, here w...
Disease Models, Animal Mice, Inbred C57BL Intestinal Mucosa Mice, Knockout Cohort Studies Mice Treatment Outcome Molecular Targeted Therapy Likelihood Functions Dextran Sulfate Colitis AMP-Activated Protein Kinases Multigene Family Gene Expression Regulation Humans Artificial Intelligence Reproducibility of Results Animals Machine Learning Inflammatory Bowel Diseases Organoids
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Using deep learning to identify bladder cancers with FGFR-activating mutations from histology images.

Cancer medicine Jun 10, 2021
BACKGROUND: In recent years, the fibroblast growth factor receptor (FGFR) pathway has been proven to be an important therapeutic target in bladder cancer. FGFR-targeted therapies are effective for patients with FGFR mutation, which can be discovered ...
Receptors, Fibroblast Growth Factor Mutation Molecular Targeted Therapy Receptor, Fibroblast Growth Factor, Type 2 Urinary Bladder Neoplasms Receptor, Fibroblast Growth Factor, Type 3 Gene Expression Databases, Factual Female Sensitivity and Specificity Humans Logistic Models Neural Networks, Computer Male Lymphocytes, Tumor-Infiltrating Deep Learning
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The case for AI-driven cancer clinical trials - The efficacy arm in silico.

Biochimica et biophysica acta. Reviews on cancer May 31, 2021
Pharmaceutical agents in oncology currently have high attrition rates from early to late phase clinical trials. Recent advances in computational methods, notably causal artificial intelligence, and availability of rich clinico-genomic databases have ...
Humans Artificial Intelligence Research Design Clinical Decision-Making Biomarkers, Tumor Computer Simulation Precision Medicine Clinical Trials as Topic Neoplasms Molecular Targeted Therapy Antineoplastic Agents Genomics
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Target Prediction Model for Natural Products Using Transfer Learning.

International journal of molecular sciences Apr 28, 2021
A large proportion of lead compounds are derived from natural products. However, most natural products have not been fully tested for their targets. To help resolve this problem, a model using transfer learning was built to predict targets for natura...
Biological Products Molecular Targeted Therapy Drug Discovery Deep Learning Models, Theoretical
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Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey.

International journal of molecular sciences Apr 22, 2021
Artificial Intelligence is providing astonishing results, with medicine being one of its favourite playgrounds. Machine Learning and, in particular, Deep Neural Networks are behind this revolution. Among the most challenging targets of interest in me...
Antineoplastic Agents Neoplasm Proteins Molecular Targeted Therapy Machine Learning Precision Medicine Neoplasms Humans Neural Networks, Computer
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Expanding the drug discovery space with predicted metabolite-target interactions.

Communications biology Mar 5, 2021
Metabolites produced in the human gut are known modulators of host immunity. However, large-scale identification of metabolite-host receptor interactions remains a daunting challenge. Here, we employed computational approaches to identify 983 potenti...
Data Mining Ligands Molecular Targeted Therapy Gene Expression Profiling Host-Pathogen Interactions Databases, Factual Humans Gastrointestinal Microbiome Transcriptome Metabolome Inflammatory Bowel Diseases Bacteria Machine Learning Metabolomics Protein Interaction Maps Anti-Inflammatory Agents Signal Transduction Drug Discovery Cells, Cultured Gastrointestinal Agents
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