Artificial intelligence and the future of life sciences

•Recently, the amount of health and “omics” data generated and stored has grown.•AI has been used for years by technology companies such as Apple, Amazon, Google and others.•AI is catching up with the life sciences’ sector and big pharma, mainly biomedicine and healthcare.•AI is improving patient an...

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Bibliographic Details
Published in:Drug discovery today 2021-11, Vol.26 (11), p.2515-2526
Main Authors: Leite, Michel L., de Loiola Costa, Lorena S., Cunha, Victor A., Kreniski, Victor, de Oliveira Braga Filho, Mario, da Cunha, Nicolau B., Costa, Fabricio F.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Artificial intelligence (AI)
Big data analytics
Biological Science Disciplines
Biotechnology
Clinical trials
Clinical Trials as Topic
Data Science
Diseases
Drug Design
Drug Development
Electronic Health Records
Humans
Life sciences
Machine learning (ML)
Mobile Applications
Mobile technologies
Natural Language Processing
Patient-centric solutions
Pharmacology
Publishing
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Summary:•Recently, the amount of health and “omics” data generated and stored has grown.•AI has been used for years by technology companies such as Apple, Amazon, Google and others.•AI is catching up with the life sciences’ sector and big pharma, mainly biomedicine and healthcare.•AI is improving patient and clinical trials’ data collection for drug development and repurposing.•Mobile technologies associated to AI have also been used to improve patient’s lives. Over the past few decades, the number of health and ‘omics-related data’ generated and stored has grown exponentially. Patient information can be collected in real time and explored using various artificial intelligence (AI) tools in clinical trials; mobile devices can also be used to improve aspects of both the diagnosis and treatment of diseases. In addition, AI can be used in the development of new drugs or for drug repurposing, in faster diagnosis and more efficient treatment for various diseases, as well as to identify data-driven hypotheses for scientists. In this review, we discuss how AI is starting to revolutionize the life sciences sector.
ISSN:1359-6446
1878-5832
DOI:10.1016/j.drudis.2021.07.002