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AI solution for analyzing biomedical research articles
#ML/AI, healthcare
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CHALLENGE
The problem was that the amount of published research was increasing rapidly, and manually analyzing and extracting key information was time-consuming and error-prone. Our solution was to develop an AI-powered system to automate the analysis process and provide more accurate and efficient results.
CLIENT
Global B2B SaaS company that offers an AI-powered automation platform and services in 50+ countries.
TECHNOLOGY
MongoDB, PyTorch, Python, Tensorflow, Biopython, Scispacy, Biobert, Google Cloud platform
TEAM
Skilled software developers with extensive back-end, Cloud integration, and AI knowledge
INDUSTRY
Healthcare
SOLUTION
Our team of experts developed a deep learning and natural language processing (NLP) system that could extract important terms from the articles, establish relations, and create a summary and knowledge graph of connected terms. The system uses advanced NLP techniques, including Biobert and Scispacy, to analyze the biomedical text accurately.
IMPACT
The result was a predictive system that could accurately:
●analyze doctor notations
●determine whether a patient should be included or excluded from a medical program
●ML techniques implemented in the system can predict a patient's readmission during the 30 days
●allow medical professionals to make informed decisions about patient care
WE ARE EAGER TO APPLY OUR EXPERIENCE TO HELP YOUR BUSINESS GROW
AI solutions
Representative centres
Tokyo, Japan
Vancouver, Canada
Tallinn, Estonia
Gdansk, Poland
Tampa (Florida), USA
Dubai, UAE
Kharkiv, Ukraine
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Muteki Group is a full-cycle software development company that has successfully completed 100+ AI projects for startups and enterprises since 2015. Our 80+ member team covers everything from the discovery phase to support. We are located in Ukraine, Poland, Estonia, Japan, Canada, UAE, and the USA.
For cooperation write us