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
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Positive link between ban on smoky coal and reduction in chronic lung diseases in older people Promoted by University of Limerick
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‘World first’ creating bespoke breast prostheses for women post-mastectomy Promoted by University of Limerick