Precision Medicine
By helping spot gene-based drug interactions, Translational Software says the interface could spur more routine clinical use of genomic data.
The promise of genomics and personalized care are closer than many realize. But clinical systems and EHRs are not ready yet. While policymakers and innovators play catch-up, here’s a look at what to know now.
Twenty one hospitals will use the supercomputer and the Watson for Oncology software piloted by Memorial Sloan Kettering in New York to offer personalized care for cancer patients.
The startup’s technology platform combines data science with analytics, clinical expertise, mobile tools to create personalization and engagement, CEO Rajeev Singh said.
Memorial Health will help develop standards of care and best practices for integrating molecular biology into oncology care, the companies said, and increase personalized medicine practices.
The university aims to make genetic testing a regular part of healthcare using Google's Cloud Platform and informatics.
Doctors at the National Human Genome Research Institute, the National Cancer Institute and the NIH Clinical Center will use the tools to combine genomic and clinical data for statistical analysis and pattern detection.
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The supercomputer identified a different type of cancer than the one doctors were currently treating for a patient in Japan.
The software currently enables people living with epilepsy to track their seizures and researchers want to develop the program into a seizure detector as well.
The company also said its scientists are working with Icahn School of Medicine at Mount Sinai to test the technology on prostate cancer.
