Pittsburgh Health Data Alliance partners with Amazon Web Services: 5 things to know

Mackenzie Garrity - Print  | 

The Pittsburgh Health Data Alliance is collaborating with Amazon Web Services in a machine learning research sponsorship to advance innovation in cancer diagnostics, precision medicine, voice-enabled technologies and medical imaging.

The health alliance was created four years ago by UPMC, University of Pittsburgh and Carnegie Mellon University to use data to transform how diseases are treated and prevented as well as develop strategies to better engage with patients.

Five things to know:

1. Through the AWS Machine Learning Research program, researchers from University of Pittsburgh and CMU will boost research and product commercialization for eight projects, including those with potential to create an individual risk score for every cancer patient.

2. Researchers are also looking to further expand research in patients' verbal and visual cues to diagnose and treat mental health symptoms. University of Pittsburgh and CMU scientists will also explore products that reduce medical diagnostic errors by mining data in medical records.

3. David Vorp, PhD, a researcher at the University of Pittsburgh, will use AWS resources to improve the diagnosis and treatment of abdominal aortic aneurysms.

4. A team of CMU researchers led by Russel Schwartz, PhD, and Jian Ma, PhD, plan to use AWS tools to develop algorithms and software tools to better understand the origins and evolution of tumor cells.

5. Amazon Web Services uses machine learning technologies, such as the Amazon SageMaker and Amazon EC2, to translate insights discovered in labs into treatments and services.

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