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Review

Artificial Intelligence in Translational Medicine

Department of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy
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Authors to whom correspondence should be addressed.
Academic Editor: Pier Paolo Claudio
Int. J. Transl. Med. 2021, 1(3), 223-285; https://doi.org/10.3390/ijtm1030016
Received: 15 October 2021 / Revised: 2 November 2021 / Accepted: 10 November 2021 / Published: 12 November 2021
The huge advancement in Internet web facilities as well as the progress in computing and algorithm development, along with current innovations regarding high-throughput techniques, enable the scientific community to gain access to biological datasets, clinical data and several databases containing billions of pieces of information concerning scientific knowledge. Consequently, during the last decade the system for managing, analyzing, processing and extrapolating information from scientific data has been considerably modified in several fields, including the medical one. As a consequence of the mentioned scenario, scientific vocabulary was enriched by novel lexicons such as machine learning (ML)/deep learning (DL) and overall artificial intelligence (AI). Beyond the terminology, these computational techniques are revolutionizing the scientific research in drug discovery pitch, from the preclinical studies to clinical investigation. Interestingly, between preclinical and clinical research, translational research is benefitting from computer-based approaches, transforming the design and execution of translational research, resulting in breakthroughs for advancing human health. Accordingly, in this review article, we analyze the most advanced applications of AI in translational medicine, providing an up-to-date outlook regarding this emerging field. View Full-Text
Keywords: translational medicine; machine learning; artificial intelligence translational medicine; machine learning; artificial intelligence
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MDPI and ACS Style

Brogi, S.; Calderone, V. Artificial Intelligence in Translational Medicine. Int. J. Transl. Med. 2021, 1, 223-285. https://doi.org/10.3390/ijtm1030016

AMA Style

Brogi S, Calderone V. Artificial Intelligence in Translational Medicine. International Journal of Translational Medicine. 2021; 1(3):223-285. https://doi.org/10.3390/ijtm1030016

Chicago/Turabian Style

Brogi, Simone, and Vincenzo Calderone. 2021. "Artificial Intelligence in Translational Medicine" International Journal of Translational Medicine 1, no. 3: 223-285. https://doi.org/10.3390/ijtm1030016

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