In Drug discovery today ; h5-index 68.0
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 the faster diagnosis and more efficient treatment of various diseases, as well as to design data-driven hypotheses for scientists. In this review, we discuss how AI is starting to revolutionize the life sciences sector.
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
Big Data analytics, artificial intelligence (AI), clinical trials, diseases, life sciences, machine learning (ML), mobile technologies, patient-centric solutions