Solving for Cancer, One Cohort at a Time
MatchTx is helping physicians and researchers make intelligent, informed treatment decisions by visualizing cancer drug interaction based on genetic data. As a product development effort spun out of the Ohio State University, it’s rapidly gaining credibility as a leading bioinformatics solution.
Product Research & Design
Software Engineering
When MatchTx needed UX design for our cancer genetics software company, it was easy to select Martini Media Group. We have been very pleased with the results!
Drug Response Validation
Before beginning an exhaustive investigation of drug trials,
physicians and researchers can determine the effectiveness
of a drug at a glance.
Patient Review
A quick review of patients reveal genetic markers, cancer diagnosis and other demographic information for a physician to consider prior to further investigation.
Treatment Investigation
The foundation of MatchTx is the rule based computations,
based on the physical and genetic factors that are created for
individual drug trial data sets.
Kaplan Meier Visualization
The Kaplan Meier graph demonstrates how well the patient's genetically matched cohort survived the drug treatment in terms of days.
Neighborhood Visualization
The neighborhood graph demonstrates how well the patient matches the drug trial cohort, as well as the overall survival of the group.
Checking the Rules
The physician (or researcher) can quickly filter through a list of
drug treatments and survival information, then click through
to data visualizations for further analysis.