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
How the world’s largest social sciences survey is tracking our values and beliefs Promoted by United Arab Emirates University
Identifying molecular targets of manuka honey-mediated inhibition of human cancers Promoted by United Arab Emirates University
