Data sleuths’ work is thankless. They must get credit for retractions The scientific record should reflect what actually happened, not a sanitised narrative that leaves out the messy bits, say Ivan Oransky and David B. Allison By Ivan Oransky 15 January
Detecting Parkinson’s Disease using Deep Learning Techniques from Smart Phone Data Promoted by Khalifa University
Advanced research in Traditional Chinese Medicine Promoted by Macau University of Science and Technology
Higher education summit Horizons 2019: passing the baton from Barcelona to Paris Promoted by Salesforce
