Written by Craig Beddis

1 min read

What the future of medicine will look like

  • Aether Engine
  • Life Sciences

The world of medicine is mind blowing at the best of times and the rate at which it improves is truly exponential. Smallpox and polio have been eradicated in many parts of the world, and we’ve created immunisations for chicken pox, hepatitis A and rotavirus in the last 20 years.

The next step is for computing technology to revolutionise medicine and help us to cure diseases that continue to plague us today. Virtual reality and augmented reality technologies will help prepare doctors and surgeons before they interact with real patients and computing will expedite the progression of genetically tailored medicines.

VRsurgeon1

Take surgeons, for example. In 10 years time they will learn in a test environment and perfect a procedure using augmented reality. People will be much more at ease before going into surgery as they will be treated by absolute experts, and will even have parts of their body labelled using AR so surgeons know not to touch them during surgery. This increases the level of accuracy enormously.  And it's not just surgeons that will benefit. Nurses and doctors may even be wearing AR headsets as they work, to help them conduct complicated procedures more quickly and accurately. It’s a wonderful prospect to think that even the small act of taking blood will be smoother and less painful thanks to these technologies.

Then there’s computing, which is now becoming so advanced that our genomes will be sequenced in a matter of minutes. Just imagine how this will transform how we diagnose and treat illness. Not only will we be able to see genetically predetermined diseases or what our genetics make us susceptible to, but we will have medicine tailored to our exact genetic makeup.

A piece of the puzzle we can’t ignore when talking about the future of health is the scientists and the research that goes into testing and developing drugs as well as understanding diseases in the first place. Huge scale analysis of genomic data needs to take place in order to cure cancer, predict heart disease and test which factors affect which diseases. Finally now computing has caught up with what biologists need - it can help them perform potentially life saving studies at massive scale. The quicker scientists can sequence genomes, the quicker they can get results and improve medicine forever.