Multi-Micro Research provides software and consulting for medical research, bioinformatics, and business customers. Our primary focus is modeling and optimizing for combination therapies, and our main business focus is constructing predictive models for our clients. Research and development areas include:
Determine the best therapy combination, drug dosage and treatment schedule for an individual patient, including gene chip data (if available).
We specialize in SAS logistic regression models, decision trees, and neural net modeling.
Find the combination of drugs and dosages that is most beneficial (with tolerable side effects) for the greatest percentage of patients.
Take advantage of data from initial experiments to build predictive models that suggest promising areas for the next round of experiments. The goal is increased experimental efficiency measured in reduced costs, faster results, and fewer required tests to be run on subjects.
Build gene chip models that combine multiple indicators to improve accuracy for predicting outcomes and side effects.
Develop models for cross-sell, attrition, and customer segmentation for banks, insurance companies and other commercial enterprises.