Winter H, Kaisaki PJ, Harvey J, Giacopuzzi E, Ferla MP, Pentony MM, Knight SJL, Sharma RA, Taylor JC, McCullagh JSO.
MDPI 2019, 11(12), 1895
Distinguishing between paediatric brain tumour types using multi-parametric magnetic resonance imaging and machine learning: A multi-site study.
23 January 2020
Grist et al. team trained computers to analyse brain images from children for identification of tumours. They’ve shown that applying analytical methods to enable machine distinguishes between...
The Vaccine Booster Breakthroughs Project
The Vaccine Booster Breakthroughs project builds upon the innovative work of the Vaccine Breakthroughs Project, which helped inform the Joint Committee on Vaccination and Immunisation’s strategy...
NHS Winter pressures could be addressed by research harnessing big data, machine learning and artificial intelligence
22 January 2023
New research launched by HDR UK and funded by NIHR will use data-driven approaches to pin-point pressures in the health care system, understand their causes and develop ways to overcome or avoid...