Q: Interpreting data at the point of care has its challenges, especially when it comes to integrating the various types of data for combined analysis and clinical applications (e.g. clinical, imaging, and genomics data). What are some of the challenges the industry is facing and...

Clinical genomics is often considered to be risky for commercial labs to spin up because of concerns around profitability. Two commonly invoked reasons for this are under resourced billing and authorization services at medical centers and poor reimbursement of the tests. ...

Q: What are some of the biggest challenges we need to overcome to drive the adoption of clinical genomics and realize the benefits of truly personalized medicine? What promises for improved outcomes for a patient can we expect in a more technologically advanced personalized health...