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 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.