CHiP Lab | Northwestern University
Conducting bioinformatics research at Northwestern's Feinberg School of Medicine, using data and software tools to support clinical decision-making and improve patient outcomes.
Service
Informatics Researcher
Sector
Intelligent Bioinformatics
Year
2023
Electronic Health Record (EHR) Data is messy.
an n-number of features
non-available data
irregular time series
However, understanding and analyzing this data is important:
delay of cancer immune checkpoint inhibitor (ICI) induced immune-related adverse events (irAEs) occur in up to 73% of patients, necessitating accurate phenotyping and early detection strategies
the data can allow for timely intervention and optimal patient management
priorly unseen diagnoses or patterns can be deduced by mass-data processing
Developed CARENET, a HIPAA-compliant AI-driven software platform that leverages electronic health record (EHR) data to support clinicians treating patients undergoing cancer immunotherapy. By combining natural language processing with real-time health analytics, CARENET identifies and flags potential immune-related adverse events (irAEs), enabling earlier interventions and more tailored treatment strategies—ultimately improving patient outcomes and reducing therapy disruptions.
MORE PROJECTS
