When it comes to medicine there are constant discoveries and advancements in the field. Now with the help of machine learning algorithms, personalized medicine and predictive patient outcome has taken another step towards curing diseases
When it comes to medicine there are constant discoveries and advancements in the field. Now with the help of machine learning algorithms, personalized medicine and predictive patient outcome has taken another step towards curing diseases.
The program is licensed to INTelico Theraputics, LLC, a startup in Arizona and uses genetic information from millions of patients to predict the effects of drug therapy that is personalized to each individual using their specific genetic makeup. Gordon Okimoto, co-director of Biostatistics and Informatics Shared Resource at the UH Cancer Center and collaborators developed a computational algorithm called the Joint Analysis of Many Matrices by ITeration . JAMMIT uses advanced mathematics to identify different patterns across multiple molecular data types such as gene expression and genetic mutations that when taken together accurately predicts what treatments would be best for a given cancer patient.
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