DIGITAL HEALTH
“ I ’ m very excited about the future of hydration and nutrition science , and its intersection with the need for personalisation and real-time management ,” he says . “ At Epicore Biosystems , we have created novel digital health solutions beginning with a wearable sensor and cloud analytics that unlock your individual hydration , skin temperature and motion data , and give rise to real-time recovery recommendations for the very first time .”
Biomarker time and cost savings Matt Lavin is the Vice President and General Manager of Platform at LifeOmic , a healthcare technology company that is connecting , consolidating and visualising complex health data to improve patient outcomes . He is responsible for setting the direction for what products the company should build .
“ A big part of my work involves talking to lots of early-stage companies , hearing their visions for the future of healthcare , and making sure that the LifeOmic Platform has the features they need ,” Lavin says . “ Our technological backbone , The LifeOmic Platform , is a secure and scalable cloudbased software solution designed to aggregate and visualise complex health data to power precision health .”
“ By seeing the whole picture of a person , we can better uncover when one uncommon biomarker is not a cause for concern ,” Lavin continues . “ We can stop prescribing drugs for every value that ’ s out of range and focus on applying treatments that are effective at changing outcomes .”
He also believes that it will help to better explain why treatments work on some people and not others .
“ Imagine the time and cost savings if we could get better at matching an effective treatment to the person on the first try ?” he says .
However , Lavin understands there are challenges related to data privacy and algorithm transparency , but has an answer to how this can be addressed .
“ I think that algorithm transparency is an interesting discussion ,” he explains . “ On one hand , the results of the algorithm might be the most important judge of the algorithm .
“ If the algorithm is consistently correct about the best treatment and results in good outcomes , then it would be a good
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