We strive to surround ourselves with people who challenge the way we think
At our core, we prioritize a collaborative approach. We work with an ever-growing network of researchers, healthcare professionals, patients, and forward-thinking experts from around the world. Here are some of our latests collaborative life science projects:
At our core, we prioritize a collaborative approach. We work with an ever-growing network of researchers, healthcare professionals, patients, and forward-thinking experts from around the world to elevate healthcare for everyone.
Having over a decade of experience, we offer domain expertise and skills in health data governance, data engineering and science, artificial intelligence, Explainable Artificial Intelligence while taking an anthropological approach to making your research available and operable.
Our specialists collaborate with researchers and research institutions and act as mentors for students primarily in health technology. We help researchers in the life science and healthcare industry:
- identify significant patterns in health data
- plan and build relevant data platforms
- assist in the development and prototyping of data-driven applications
- regularly publish papers on the research
From data management strategies to user-friendly data collection and presentation tailored to your unique research project, we want to equip you with the best possible research insights and results as quickly as possible.
The collaboration with Enversion, who will not only generate data for research, but also help clinicians follow their patients' symptoms and well-being over time, has the potential to be of great importance to patients. [..]
With their in-depth knowledge of the healthcare system and experience in collaborating with both clinicians and researchers, Enversion is an ideal partner.
The treatment of breast cancer is now so successful that we face an increasing problem with many cancer survivors affected by late effects. It is not only related to breast cancer but a problem we see in various types of cancer diseases. However, being one of the most common cancer diseases and having a positive survival rate, the problem is especially true for this type of cancer.
Det er sindssygt interessant det her og kan virkelig batte noget på både indlæggelsestid, vores arbejdsmiljø og patienternes oplevelse – men der er også andre potentialer i det, som vi ikke har set endnu. Det kan virkelig blive stort det her.
Hele tanken bag CDSS-projektet er at udvikle løsninger, der kan komme ud i praksis og rent faktisk gøre en forskel for både borgere og det sundhedsfaglige personale. Spændende at se, hvordan +prio vil bidrage til det.
“If the algorithm works well, the ambition is to use it locally and have less patients go to the hospital for examination – instead the examination will take place closer to the patient’s home.”
Data Scientist & Industrial PhD Researcher
Data Scientist, AI Researcher, Healthtech Enthusiast & Keynote Speaker
CTO/Analytical director
President of AI, Honorary Professor, AI-researcher specialist, Keynote speaker
Information Engineer
RPA, Artificial Intelligence, Machine Learning
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