Experimental development for creation of decision support application (Danny DSA) for breast and prostate cancer.

Project facts

Project promoter:
Sqilline Business Solutions Ltd(BG)
Project Number:
BG-INNOVATION-0048
Status:
In implementation
Initial project cost:
€774,900

More information

Description

Sqilline Business Solutions Ltd. is a forward-looking software and consulting company with expertise in advanced analytical platform solutions, focusing on "Big Data" processing and machine learning in the healthcare sector. They are the first Bulgarian partner of SAP AG for Eastern Europe and have a track record of developing SAP mobile solutions. Furthermore, Sqilline is venturing into cutting-edge analytical platforms with Responsive Web Design (RWD) and embedded Artificial Intelligence (AI) algorithms, specializing in fields such as cardiology, oncology, hematology, and rare diseases.

The project''s core objective is to pioneer an innovative welfare technology solution that addresses the multifaceted challenges posed by an aging population and patients dealing with prostate and breast cancer. Simultaneously, it will serve as a robust support tool for healthcare professionals providing high-quality care services. Sqilline will develop causal machine learning models by utilizing standardized electronic health records (EHR) from a patient cohort dataset of up to 50,000 individuals. Their approach involves constructing a Dynamic System Adaptation (DSA) guided by Clinical Practice Guidelines (CPGs) with a focus on breast and prostate cancers. Sqilline''s methodology integrates real-world clinical data, input from expert clinical oncologists, and state-of-the-art technology to bridge gaps and rectify discrepancies within existing CPGs. The project''s main innovation lies in its capacity to provide oncology healthcare professionals with precise and cohesive CPGs, cultivated from real-world "Big Data" analyses facilitated by advanced machine learning algorithms. It aims to benefit patients with prostate and breast cancer by ensuring they receive the highest standard of data-driven healthcare.

Information on the projects funded by the EEA and Norway Grants is provided by the Programme and Fund Operators in the Beneficiary States, who are responsible for the completeness and accuracy of this information.