Pittsburgh Health Data Alliance (PHDA) has announced that it is working closely with Amazon Web Services (AWS), an Amazon.com company, through a machine learning research sponsorship, to advance innovation in areas such as cancer diagnostics, precision medicine, voice-enabled technologies and medical imaging.
Pittsburgh Health Data Alliance (PHDA) is a unique consortium formed four years ago by the University of Pittsburgh Medical Center (UPMC) and Carnegie Mellon University (CMU), the PHDA uses the “big data” generated in health care — including patient information in the electronic health record (EHR), diagnostic imaging, prescriptions, genomic profiles and insurance records — to transform the way that diseases are treated and prevented, and to better engage patients in their own care. New machine learning technologies and advances in computing power, like those offered by Amazon SageMaker and Amazon EC2, are making it possible to rapidly translate insights discovered in the lab into treatments and services that could dramatically improve human health.
Through the AWS Machine Learning Research sponsorship, PHDA scientists from both UPMC and CMU expect to accelerate research and product commercialization efforts across eight projects, including those with the potential to create an individual risk score for every cancer patient, thus enabling doctors to better predict the course of a person’s disease and response to treatment; use a patient’s verbal and visual cues to diagnose and treat mental health symptoms; and reduce medical diagnostic errors by mining all the data in a patient’s medical record. Data are secure, anonymized and stay with PHDA institutions.
“With the latest advances in machine learning, we are developing an algorithm that will provide clinicians with an objective, predictive tool to guide surgical interventions [for abdominal aortic aneurysms] before symptoms appear, improving patient outcomes.” David Vorp, Ph.D., associate dean for research, Pitt’s Swanson School of Engineering and the John A. Swanson Professor of Bioengineering
“Data-driven, genomic methods guided by an understanding of cancers as evolutionary systems have relevance to numerous aspects of clinical cancer care.” … “These include determining which precancerous lesions are likely to become cancers, which cancers have a good or bad prognosis, and which of those with bad prognoses might respond long-term to specific therapies.” – Russell Schwartz, Ph.D., professor of biological sciences and computational biology, CMU
“This collaboration with AWS complements the unique strengths of the PHDA’s founders and will provide unparalleled resources to our researchers.” … “By leveraging AWS machine learning and artificial intelligence services, we can help Pittsburgh become the premier hub of technology innovation in health care, drawing innovators from companies big and small to join us in this critical effort to revolutionize the delivery of health care.” – Tal Heppenstall, president of UPMC Enterprises, which funds the PHDA and focuses on commercializing its breakthroughs
“We believe that machine learning can significantly accelerate the progress of medical research and help translate those advances into treatments and improved experiences for patients.” … “We are excited to bring our machine learning services and cloud computing resources to support the high-impact work being done at the PHDA.” – Swami Sivasubramanian, vice president of machine learning for AWS