MOTIVATION: Historically, gene expression has been shown to be the most informative data for drug response prediction. Recent evidence suggests that integrating additional omics can improve the prediction accuracy which raises the question of how to ...
Advances in radiomics and machine learning have driven a technology boom in the automated analysis of radiology images. For the past several years, expectations have been nearly boundless for these new technologies to revolutionize radiology image an...
PURPOSE: The Breast Imaging Reporting and Data System (BI-RADS) lexicon was developed to standardize mammographic reporting to assess cancer risk and facilitate the decision to biopsy. Because of substantial interobserver variability in the applicati...
Journal of bioinformatics and computational biology
Apr 1, 2019
Identification of effective drug combinations for patients is an expensive and time-consuming procedure, especially for experiments. To accelerate the synergistic drug discovery process, we present a new classification model to identify more effecti...
Currently, artificial intelligence (AI) heavily impacts all human activities, including medicine, where needs for data analysis and interpretation are high and where technology opens new perspectives. Considering that current treatments do not always...
In this review, we discuss the management of genomic medicine, which is based on very large data sets with up to billions of data points when analysing the whole genome. By using artificial intelligence (AI) it is possible to find patterns in such da...
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2019
OBJECTIVE: We aim to deliver a framework with 2 main objectives: 1) facilitating the design of theory-driven, adaptive, digital interventions addressing chronic illnesses or health problems and 2) producing personalized intervention delivery strategi...
The American journal of gastroenterology
Mar 1, 2019
Technological advances in artificial intelligence (AI) represent an enticing opportunity to benefit gastroenterological practice. Moreover, AI, through machine or deep learning, permits the ability to develop predictive models from large datasets. Po...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.