Every day, there are more than 1500 publications and it is becoming increasingly difficult to keep up with the pace of innovation and information flow within biomedical research. There are new therapies, new biomarkers of diseases, repurposing drugs, re-definition of disease and patient diagnostics. A sea of information, and difficult to navigate.
The Coremine Vitae platform is science based, using bioinformatics to find optimal treatments globally, independent from pharma and specific healthcare institutions. Coremine Vitae provides everyone access to the most state-of-the-art, precise, evidence-based treatment and prevention plan, with the support of their healthcare team.
We regard the key players being our researchers and the patients themselves. Researchers, because scientific evidence is essential; patients, because being involved and empowered is a prerequisite for optimal outcome and quality of life. Not least, development of bioinformatic technology and information, as well as personalization of cancer care are highly collaborative undertakings that require continuous innovation and updates.
Building from over 15 years of forefront experience – PubGene was the first team analyzing Medline with a “big data” approach extracting associations between medical terms like diseases, drugs, proteins, genes, etc. Coremine Vitae is a comprehensive ICT platform which collects biomedical data from more than 30 high quality data sources worldwide and analyze the data through patent protected natural-language processing (NLP) algorithms and methods for biomedical text mining and information extraction.
Coremine Vitae comprises details about clinical guidelines and recommendations, molecular biomarkers, treatments, clinical trials, and research, as well as information on how lifestyle can affect treatment and the course of disease. Content and information in Coremine Vitae are regularly updated and interfaced with the patients Electronic Medical Record (EMR). The patient will also get notifications on possible new treatments and relevant research documentation. Thus, all questions posed by either patients or healthcare professionals assisting them are answered based on evidence-based recommendations (PICO model).