- Company website
- https://www.applicare.ai
- Number of employees
- 2 - 10 employees
- Description
-
Applicare AI, is a scientific company created in 2022, which develops predictive models of the risk of complications for people with chronic diseases, such as the prediction of cardiovascular disease in people with type 2 diabetes.
We identify digital biomarkers associated with these complications by analyzing data collected from continuous monitoring medical devices using artificial intelligence techniques.
Applicare AI is at the TLR3 (proof of concept) and TLR4 (prototype development) stage. - Industries
- It & computing
Socials
Recent projects
Market Research
We want to better understand our competition so we can uniquely position ourselves within our industry.The research will include:Competitive landscape (digital biomarkers companies, Software as a medical devices, patent) Scientific papers on the field of digital biomarkers and predictive analytics
Market Research
We want to better understand our competition so we can uniquely position ourselves within our industry.The research will include:Competitive landscape (digital biomarkers companies, Software as a medical devices, patent) Scientific papers on the field of digital biomarkers and predictive analytics
Business strategy
Applicare AI, is a scientific company created in 2022, which develops predictive models of the risk of complications for people with chronic diseases, such as the prediction of cardiovascular disease in people with type 2 diabetes.We identify digital biomarkers associated with these complications by analyzing data collected from continuous monitoring medical devices using artificial intelligence techniques.Applicare AI is at the TLR3 (proof of concept) and TLR4 (prototype development) stage.In order to submit to grants and funding from the government, we need help to analyze the competitive and patent landscape,and be able to position our product/service, show why our offering is unique and understand how we will create value.
Database Structuration
We want to investigate public datasets to our specific context, in order to apply the latest AI and machine learning techniques (predictive analytics) to these available datasets.We would like a group of students to analyze existing datasets.This will involve:Conduct background research on existing public datasets.Collect and process open-source data automatically and organize them into csv files.
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