AIMC Topic: Translational Science, Biomedical
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Artificial intelligence-driven translational medicine: a machine learning framework for predicting disease outcomes and optimizing patient-centric care.
Journal of translational medicine
Mar 10, 2025
BACKGROUND: Advancements in artificial intelligence (AI) and machine learning (ML) have revolutionized the medical field and transformed translational medicine. These technologies enable more accurate disease trajectory models while enhancing patient...
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...
Prediction of clinical trial enrollment rates.
PloS one
Feb 24, 2022
Clinical trials represent a critical milestone of translational and clinical sciences. However, poor recruitment to clinical trials has been a long standing problem affecting institutions all over the world. One way to reduce the cost incurred by ins...
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...
AI for drug discovery is advancing rapidly: We need smart biology for it to fulfill its mission.
Drug discovery today
Oct 8, 2021
Digital pathology and artificial intelligence in translational medicine and clinical practice.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Oct 5, 2021
Traditional pathology approaches have played an integral role in the delivery of diagnosis, semi-quantitative or qualitative assessment of protein expression, and classification of disease. Technological advances and the increased focus on precision ...
Application of Machine Learning in Translational Medicine: Current Status and Future Opportunities.
The AAPS journal
May 18, 2021
The exponential increase in our ability to harness multi-dimensional biological and clinical data from experimental to real-world settings has transformed pharmaceutical research and development in recent years, with increasing applications of artifi...
Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 2: a discussion of chemical and biological data.
Drug discovery today
Jan 27, 2021
'Artificial Intelligence' (AI) has recently had a profound impact on areas such as image and speech recognition, and this progress has already translated into practical applications. However, in the drug discovery field, such advances remains scarce,...
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...
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...
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