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July 26, 2016

UC San Diego to Present Proof of Concept for Predicting Drug's Side Effects Through Analyzing Red Blood Cells at Upcoming Pain Conference

Researchers at the University of California, San Diego have discovered proof of concept in determining whether a drug will produce adverse side effects based on assessing blood samples. This predictive model predicts how variations in an individual’s genetic backgrounds will affect how the drug is metabolized, and therefore if a side effect is probable.

June 30, 2016

Precision Treatments for Pain Discovered by Research Team at Yale University to be Shared at 10th Annual Pain Therapeutics Summit
 
An estimated 100 million people in America are in need of better, more personalized treatments for pain, and a team at Yale University has proven how it should be done. Their research has shown that by using a pharmacogenomics approach which analyzes the genomes of patients, it is possible to predict and therefore reduce the likelihood of adverse drug effects. 
 

June 29, 2016

Sage Bionetworks to Share Results of Mobile Health Research Study at Upcoming Precision Medicine Conference

In the midst of several colliding perspectives on personal data sharing from both patients and researchers, it is challenging to comprehend how clinical study designs should be conducted to benefit both stakeholders. Sage Bionetworks recently began sharing data from over 9,000 participants of mPower, a mobile health research study for Parkinson's Disease. 

June 21, 2016

Key Leaders in Precision & Personalized Medicine To Meet This Fall for the 8th Annual Personalized & Precision Medicine Conference
 
Syapse has been a constant presence in the precision medicine industry, and has recently furthered its involvement in oncology through a partnership with Henry Ford Health Systems.

June 16, 2016

 
Genelex CEO Kristine Ashcraft to Share Insights on Future of Pharmacogenomics at 8th Annual Personalized & Precision Medicine Conference

Recently, Genelex responded to requests by various stakeholders in the personalized and precision medicine industry by creating High Risk PGx Drug Charts, which are available on the YouScript software. By providing these helpful resources when interpreting PGx results with these resources, Genelex hopes to improve the evaluation of drug-drug, drug-gene, and cumulative interactions in real-time.

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