AIMC Topic: Translational Research, Biomedical

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Inter-species pathway perturbation prediction via data-driven detection of functional homology.

Bioinformatics (Oxford, England) Aug 22, 2014
MOTIVATION: Experiments in animal models are often conducted to infer how humans will respond to stimuli by assuming that the same biological pathways will be affected in both organisms. The limitations of this assumption were tested in the IMPROVER ...
Species Specificity Algorithms Oligonucleotide Array Sequence Analysis Databases, Factual Phosphoproteins Bronchi Cells, Cultured Animals Gene Expression Regulation Epithelial Cells Cytokines Systems Biology Gene Expression Profiling Models, Animal Phosphorylation Humans Rats Translational Research, Biomedical Artificial Intelligence Signal Transduction Software
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New horizons at the interface of artificial intelligence and translational cancer research.

Cancer cell Apr 14, 2025
Artificial intelligence (AI) is increasingly being utilized in cancer research as a computational strategy for analyzing multiomics datasets. Advances in single-cell and spatial profiling technologies have contributed significantly to our understandi...
Neoplasms Translational Research, Biomedical Precision Medicine Tumor Microenvironment Biomarkers, Tumor Humans Artificial Intelligence
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AI-Driven Applications in Clinical Pharmacology and Translational Science: Insights From the ASCPT 2024 AI Preconference.

Clinical and translational science Apr 1, 2025
Artificial intelligence (AI) is driving innovation in clinical pharmacology and translational science with tools to advance drug development, clinical trials, and patient care. This review summarizes the key takeaways from the AI preconference at the...
Humans Translational Research, Biomedical Clinical Trials as Topic Artificial Intelligence Pharmacology, Clinical Drug Discovery Translational Science, Biomedical Drug Development
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Agents for Change: Artificial Intelligent Workflows for Quantitative Clinical Pharmacology and Translational Sciences.

Clinical and translational science Mar 1, 2025
Artificial intelligence (AI) is making a significant impact across various industries, including healthcare, where it is driving innovation and increasing efficiency. In the fields of Quantitative Clinical Pharmacology (QCP) and Translational Science...
Artificial Intelligence Translational Research, Biomedical Precision Medicine Clinical Trials as Topic Translational Science, Biomedical Workflow Humans Pharmacology, Clinical
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A Machine Learning Pipeline to Screen Large In Vivo Molecular Data to Curate Disease Signatures of High Translational Potential.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2025
A significantly low success rate of human clinical studies has long been attributed to a capability gap, namely, an ineffective translation of the animal data to the human context. To bridge this capability gap, several correcting measures have been ...
Humans Machine Learning Genomics Computational Biology Proteomics Algorithms Animals Phylogeny Disease Models, Animal Translational Research, Biomedical
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Response to letter to the editor: "What predicts citation counts and translational impact in headache research? A machine learning analysis".

Cephalalgia : an international journal of headache Aug 1, 2024
Translational Research, Biomedical Headache Biomedical Research Bibliometrics Periodicals as Topic Humans Machine Learning
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Comment on "What predicts citation counts and translational impact in headache research? A machine learning analysis".

Cephalalgia : an international journal of headache Aug 1, 2024
Journal Impact Factor Periodicals as Topic Translational Research, Biomedical Headache Humans Machine Learning Biomedical Research Bibliometrics
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canSAR: update to the cancer translational research and drug discovery knowledgebase.

Nucleic acids research Jan 6, 2023
canSAR (https://cansar.ai) is the largest public cancer drug discovery and translational research knowledgebase. Now hosted in its new home at MD Anderson Cancer Center, canSAR integrates billions of experimental measurements from across molecular pr...
Knowledge Bases Humans Antineoplastic Agents Neoplasms Translational Research, Biomedical Algorithms Drug Discovery
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How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management.

Cardiovascular research Jun 16, 2021
There has been an exponential growth of artificial intelligence (AI) and machine learning (ML) publications aimed at advancing our understanding of atrial fibrillation (AF), which has been mainly driven by the confluence of two factors: the advances ...
Diagnosis, Computer-Assisted Electrocardiography Predictive Value of Tests Translational Research, Biomedical Data Mining Atrial Fibrillation Risk Factors Animals Risk Assessment Databases, Factual Prognosis Clinical Decision-Making Humans Therapy, Computer-Assisted Machine Learning Decision Support Techniques
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Application of Artificial Intelligence for the Diagnosis and Treatment of Liver Diseases.

Hepatology (Baltimore, Md.) Jun 1, 2021
Modern medical care produces large volumes of multimodal patient data, which many clinicians struggle to process and synthesize into actionable knowledge. In recent years, artificial intelligence (AI) has emerged as an effective tool in this regard. ...
Medical Records Systems, Computerized Humans Artificial Intelligence Gastroenterology Translational Research, Biomedical Liver Diseases
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