BC Platforms (BCP), a global leader in healthcare data management, analytics and access, announced a new strategic partnership with US-based company TripleBlind to help drive the development of privacy and intellectual property rights (IPR) preserving “federated AI” for its BCRQUEST.com Global Data Partner Network. The partnership will enhance BCP’s contribution to the Finnish-led PRIVASA (Privacy Preserving AI for Synthetic and Anonymous Health Data) consortium, which recently received EUR €6.5 million in funding by Business Finland to develop methods for the safe utilization of sensitive data.
The two-year PRIVASA project aims to promote access to, and sharing of, anonymised health data to accelerate product development by Finnish health technology companies operating in international markets. BCP will be contributing federated AI learning approaches to train machine learning algorithms without the need to exchange actual data. This method will enable BCP to address data governance and privacy requirements, as individual-level data never needs to leave its institution of origin. BCP’s partnership with TripleBlind will further improve this federated AI concept by ensuring IPR protection, encrypting analyses and results using its proprietary cryptographic technology.
Timo Kanninen, CSO and Founder of BC Platforms, said, “In partnership with TripleBlind, our new federated AI learning platform, which is based upon data from BCRQUEST’s global genomic and clinical database network, could significantly speed up research and development without compromising on patient privacy or IPR. AI has the potential to transform healthcare from a “one-size-fits-all” medicine approach to a personalised one, where individual treatment plans can be tailored for each patient, leading to an improved quality of care and significant cost savings.”
Riddhiman Das, CEO and Co-Founder of TripleBlind, said, “We are excited to be partnering with BCP, coupling our next-generation private data sharing technology with BCRQUEST’s data network for use in research environments with strict regulatory standards including GDPR, CCPA, and HIPAA. We look forward to enabling the network to share and collaborate with the vast amount of data that today is unaccessible and uncommercialized due to regulatory concerns. By improving privacy, we will enable the use of richer, more diverse third-party clinical and genomic datasets, facilitating the development of more accurate and less biased novel AI-based models.”
BC Platforms is one of the key corporate partners in the PRIVASA consortium, alongside the University of Turku, the Finnish Institute for Health and Welfare (THL) as well as a number of notable industry partners including Bayer, Fujitsu Finland, MVision, PerkinElmer and Polar Electro.