Ahead of Rare Disease Day (Feb 29), Ashley Yum has written to us, to offer us the opportunity to speak with Steve Costalas, CEO, HVH Precision Analytics, about how AI and machine learning are being used to help diagnose rare diseases faster and more accurately.
HVH Precision Analytics is a joint venture between the world’s largest health and wellness network Havas Health & You , and Vencore, and specializes in AI and machine learning data analytics.
At a time when take up of AI in healthcare is surprisingly low, this collaboration is looking at how AI/big data can identify symptoms of disease 3-5 years before diagnosis, – and using RWD and RWE to find undiagnosed patients in healthcare databases – and finally, – · leveraging data to support the rare disease community beyond diagnosis.
And they have some interesting side announcements, if you will…
95% of rare diseases do not have an FDA-approved treatment, significantly limiting treatment options for the 400 million people living with a rare disease.
7,000 rare diseases have been identified, but only 5% have FDA-approved treatments.
The total number of Americans living with a rare disease is estimated at between 25-30 million.
The average time it takes for rare disease patients to receive an accurate diagnosis is 4.8 years.
However, they are excited about the progress that’s been made in recent years thanks to AI, and they would love to share what they think is in store for the future.