AIMC Topic: Translational Research, Biomedical
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An artificial intelligence-assisted clinical framework to facilitate diagnostics and translational discovery in hematologic neoplasia.
EBioMedicine
May 28, 2024
BACKGROUND: The increasing volume and intricacy of sequencing data, along with other clinical and diagnostic data, like drug responses and measurable residual disease, creates challenges for efficient clinical comprehension and interpretation. Using ...
Genome-scale metabolic models in translational medicine: the current status and potential of machine learning in improving the effectiveness of the models.
Molecular omics
May 7, 2024
The genome-scale metabolic model (GEM) has emerged as one of the leading modeling approaches for systems-level metabolic studies and has been widely explored for a broad range of organisms and applications. Owing to the development of genome sequenci...
An open source knowledge graph ecosystem for the life sciences.
Scientific data
Apr 11, 2024
Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challenges. Knowle...
Roadmap for Clinical Translation of Mobile Microrobotics.
Advanced materials (Deerfield Beach, Fla.)
Mar 5, 2024
Medical microrobotics is an emerging field to revolutionize clinical applications in diagnostics and therapeutics of various diseases. On the other hand, the mobile microrobotics field has important obstacles to pass before clinical translation. This...
Deep learning-based diagnostic models for bone lesions: is current research ready for clinical translation?
European radiology
Jan 8, 2024
APOLLO 11 Project, Consortium in Advanced Lung Cancer Patients Treated With Innovative Therapies: Integration of Real-World Data and Translational Research.
Clinical lung cancer
Dec 22, 2023
INTRODUCTION: Despite several therapeutic efforts, lung cancer remains a highly lethal disease. Novel therapeutic approaches encompass immune-checkpoint inhibitors, targeted therapeutics and antibody-drug conjugates, with different results. Several s...
Artificial intelligence innovation in healthcare: Relevance of reporting guidelines for clinical translation from bench to bedside.
Annals of the Academy of Medicine, Singapore
Apr 27, 2023
Artificial intelligence (AI) and digital innovation are transforming healthcare. Technologies such as machine learning in image analysis, natural language processing in medical chatbots and electronic medical record extraction have the potential to i...
A weighted patient network-based framework for predicting chronic diseases using graph neural networks.
Scientific reports
Nov 19, 2021
Chronic disease prediction is a critical task in healthcare. Existing studies fulfil this requirement by employing machine learning techniques based on patient features, but they suffer from high dimensional data problems and a high level of bias. We...
Cardiovascular Diseases
Chronic Disease
Translational Research, Biomedical
Programming Languages
Data Interpretation, Statistical
Reproducibility of Results
Pulmonary Disease, Chronic Obstructive
Male
Databases, Factual
Female
Machine Learning
Risk
Humans
Software
Neural Networks, Computer
Algorithms
A decade retrospective of medical robotics research from 2010 to 2020.
Science robotics
Nov 10, 2021
Robotics is a forward-looking discipline. Attention is focused on identifying the next grand challenges. In an applied field such as medical robotics, however, it is important to plan the future based on a clear understanding of what the research com...
Artificial intelligence in clinical and translational science: Successes, challenges and opportunities.
Clinical and translational science
Oct 30, 2021
Artificial intelligence (AI) is transforming many domains, including finance, agriculture, defense, and biomedicine. In this paper, we focus on the role of AI in clinical and translational research (CTR), including preclinical research (T1), clinical...
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