Dr Andy Skinner and Chris Stone believe that new technology has the potential to transform health data collection in the longitudinal community – and that there are already promising signs of this among early adopters.
In the last decade or so advances in bioinformatics have made it easier for health researchers to study people’s genetic make-up (genotype) in detail. For example, it is now possible – and has become almost routine – for health researchers to identify genes associated with specific diseases using genome-wide association studies. Read more
The information that gathers in our wake as we move through life and health centre or hospital waiting rooms is a powerful tool for medical research. Cecily Berryman tells us how a health emergency brought discussions about data science to the heart of her family.
Three years ago my husband suddenly became very ill. He needed emergency surgery to fix a tear in his aorta, the huge artery that carries blood as it pumps away from the heart. Afterwards the surgeon called it an ‘acute aortic dissection’ and mentioned it was likely to be a connective tissue disorder that has a genetic cause. Extensive testing revealed it was not a known disorder.
Precision medicine is putting the patient at the centre of healthcare. But what does precision medicine actually mean? And if you’re interested in using it in your research, where do you start? We’ve created a guide to help, explained here by Professor Stephen Holgate, MRC Clinical Professor of Immunopharmacology, who led the work.
Put simply, precision medicine aims to ensure that the right patient gets the right treatment at the right time.
Our genetics, together with our lifestyles and our environment, determine our health. Precision medicine is an exciting approach that will help to determine our individual risk of developing disease, detect illness earlier and determine the most effective interventions to help improve our health, whether they are medicines, lifestyle choices, or changes in diet.