Description of company and business challenge/opportunity
Big Data healthcare initiative; how to utilize vast data amounts to increase efficiency and create personalized health care (precision medicine)
Funded by Norwegian Research Council and large hospital institutions together with Industry partners
AI/ ML project & program
Project scope: to use AI on cardiac arrest events caused by a special symptom called hypertrophic cardiomyopathy (thickened heart wall)
Joint venture project between Crayon and BigMed.
Using ultrasound images from 30 volunteers to work on techniques to identify and measure thickness of heart wall.
Data insight project leading to a government funded application with deep study to follow
Description of company and business challenge/opportunity
Norway’s national hospital
New regulation from 2019 to offer colonoscopy to all males from the age of 50
AI/ ML project & program
Goal to detect identifying asymptomatic polyps with possible invasive cancer from images taken during endoscopy procedure in order to make treatment process faster and more efficient
Project involving NLP from pathology reports combined to develop a ML model with images from Endoscopy Procedures.
Goal to scale the final application deployment internationally
Project stage 1 run with 2 data scientist for 2 months
Description of company and business challenge/opportunity
The Norwegian Directorate of eHealth (NDE) is a sub-ordinate institution of our Ministry of Health and Care Services (2016)
Responsibility to develop and administrate digital solutions that will improve and simplify our health and care sector.
AI/ ML project & program
Project scope is to demonstrate Syntetic Data Vault (SDV) as means of anonymizing data from multiple health registries.
The goal is to identify technologies that can be used to give data access to researchers without compromising data privacy
Crayon have delivered 1 data scientist and 1 UX designer delivering a demo to showcase the technology
Description of company and business challenge/opportunity
Norwegian Cancer registry, holding all cancer related patient data since 1950
The registry is looking for ways to share more data without compromising privacy.
Challenge: To evaluate the opportunity to share data insight through the execution of statistical analysis and ML on encrypted data using Homomorphic encryption?
AI/ ML project & program
Project POC scope: Reproduce a part of the cancer registry report from 2015 by using homomorphic encryption on the data to reproduce a specific statistical table
Joint effort with Crayon and Microsoft Research, using MSR’s SEAL library for homomorphic encryption.
Successful results demonstrating viable technology to be used in near future.
Delivered 1 data scientist for a period of 3 months
Description of company and business challenge/opportunity
Directorate of Health is an executive agency and professional authority under the Ministry of Health and Care Services.
The mandate for Directorate of Health is to improve the health of the citizens and the community as a whole through targeted activities across services, sectors and administrative levels.
AI/ ML project & program
Project scope: To develop a rule based engine to calculate the distribution of ISF to all Health Institutions in Norway. The ISF program is an activity-based funding scheme for specialist health and outpatient services in mental health care and interdisciplinary specialized treatment of drug addicts.
The engine calculates and distributes the equivalent of approx. $4 Billion in 2018.
