Sqilline announced its innovative Precision Medicine solution to Bulgarian media
- company News
- 2 years ago
At special SAP media event Sqilline presented its unique Precision Medicine solution »Danny« based on SAP Healthcare platform for collection, storage, analysis and processing of big data. It is a step forward from the CancerLinQ™ project of The American Society of Clinical Oncology (ASCO®) launched in 2016 in the US. CancerLinQ uses SAP HANA capabilities to collect and process patient data from around the world to improve quality of care and patient outcomes. Only one year after the launch over 1,5 million patients and their medical histories are shaping the future of cancer care through data-driven innovation across the Atlantic.
“Sqilline’s solution Danny is an innovative pilot project for whole Europe”, said Rumyana Trencheva, Managing Director at SAP South East Europe. “It is a joint labour and investment of three collaborating parties – Sqilline, with their know-how and expertise in the healthcare industry; SAP – securing Big Data analytics through the SAP Healthcare Platform on SAP HANA; and the National Oncology Hospital in Sofia – providing the data”.
“A truly connected ecosystem can increase the rate of innovation in healthcare services and improve patient outcomes while reducing costs and accelerating the time to bring innovative solutions to market,” said Desislava Mihaylova, CEO of Sqilline. “Danny brings together healthcare stakeholders across a platform that fosters and accelerates innovation, placing patients at the center of the healthcare system and in control of their healthcare data.”
‘Danny’ paves the way for the much-needed collaboration between Researchers, Patients and Physicians to explore clinical trials through massive amounts of data and supports the development of more effective and individualized treatment.
‘Danny is based on machine learning algorithms and continually learns from itself, identifying important trends. Attracting new partners and data means constant updates to the system and implementation of new machine learning models. This creates an ever-growing health information solution aimed at enhancing and improving the understanding and treatment of cancer.’ added Mihaylova.
It is already a huge success for Sqilline. Only a couple of weeks after its European launch at ConhiT the solution became highly acclaimed by international specialized media and gained an earnest interest for productization in Germany.