Supporting personalized treatment options and providing tools to reduce healthcare expenditures
BC Platforms, a world leader in genomic data management and analytics, today announces that it has signed a co-operation agreement with Negen to use its platform to provide detailed insights into raw genomic data for clinical reporting capabilities. Both companies work in the front line of genomic data and will provide a premium, integrated solution to healthcare providers and customers globally.
Incoming data will be processed by BC Platforms’ high performing genomic data management platform, allowing rapid integration to the highly rated Genetic Risk Scoring tools developed by Negen. The ability to incorporate a patient’s genetic information as a part of the clinical disease risk prediction process will provide clinical practitioners with more confidence in providing accurate treatment recommendations to patients and is expected to result in reduced costs for healthcare providers.
“We are delighted to partner with BC Platforms, a global leader in the integration and interpretation of genomic and clinical data. This partnership will greatly increase the awareness and utility of our Genetic Risk Scoring tools and our automatized genetic data interpretation. We look forward to bringing the benefits to both clinicians and patients,” commented Kimmo Aro, CEO of Negen.
“With the increased adoption of precision medicine, we are noticing that more of our customers are demanding the ability to populations based precision medicine initiatives that require access to credible genetic risk scoring tools. This increase in demand is occurring due to technological advancements in handling and processing complex genomic data. We are pleased to partner with Negen to add this downstream capability to our platform,” explained Tero Silvola, the CEO of BC Platforms.
About Negen
Negen is a genetic technology company founded by Finnish geneticists and physicians. Negen provides tools to prevent common chronic diseases, such as type 2 diabetes and coronary heart disease based on genetic profiling combined with commonly known measurable risk factors.
With the help of our automatized process algorithms, we can assess individual predisposition for a disease before any other method with highest accuracy available today in easily understandable and human readable format.
This information is proven to help individuals to re-evaluate individual lifestyle choices and help physicians to adjust the care or treatment path for successful disease prevention and cost savings in health care.
