How do you uncover the mysteries of your individual health, your risk factors for certain diseases, or how you may respond to specific treatments? The answer may very well be written into your genetic code. Scientists have worked for decades to unravel everything that our DNA has to tell us and determine how it can be used to improve treatments. Drugs that are designed to perfectly match patients’ unique genetic profiles will enable a level of precision in treatments that has never been possible before. These genetically matched drugs could mean yield more effective therapies with far fewer side effects.
CRISPR gene editing allows researchers to change DNA, including repairing mistakes. Although it’s a relatively new technology, it has already had a substantial impact on medicine and earned Nobel Prize in Chemistry its inventors. The technology has been tested as a treatment for rare blood disorders, cancers, heart disease, and Alzheimer’s disease, with many more on the horizon. But CRISPR’s potential isn’t limited to its ability to treat diseases; it may also be able to prevent them from ever developing. It may also be used to prevent inherited diseases as well as certain cancers, neurodegenerative diseases, or immune disorders that are caused to single gene mutation.
From video games and augmented reality apps to career training and socializing, virtual reality has caught on in a big way. Unsurprisingly, the tech has also made an impact in the healthcare field with exciting tools like virtual reality surgical studios that let surgeons visualize every aspect of a procedure before the patient is even in front of them. One of the next frontiers of virtual reality is likely to be the diagnosis and treatment of mental illnesses. Studies are already underway that explore virtual reality as a tool to detect post-traumatic stress syndrome (PTSD), attention deficit/hyperactivity disorder (ADHD), and anxiety.
Imagine getting a personalized, artificial-intelligence-driven prediction of diseases that you are most at risk of developing. You could be empowered to make lifestyle changes or begin preventative care to decrease your risks.Augmented artificial intelligence models are a type of machine learning designed to pull data from multiple sources to assist in humans making more accurate decisions. A model that uses input from a dozen electrocardiograms (ECGs) â tests that measure electrical activity in the heartâ to predict heart issues and an artificial neural network (a simplified model of the human brain) that can accurately predict chronic illnesses are two recent examples of ambitious uses of machine learning to determine disease risk.
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