Mount Sinai Establishes Pathology Center with Focus on Machine Learning | Healthcare Informatics Magazine | Health IT | Information Technology Skip to content Skip to navigation

Mount Sinai Establishes Pathology Center with Focus on Machine Learning

August 25, 2016
by Rajiv Leventhal
| Reprints

Mount Sinai’s Department of Pathology at the Icahn School of Medicine has established the Center for Computational and Systems Pathology, with the goal to more accurately classify diseases and guide treatment using computer vision and machine learning techniques.

Mount Sinai officials say the New York-based center will look to “revolutionize pathology practice, using advanced computer science and mathematical techniques coupled with cutting-edge microscope technology and artificial intelligence.” The Center for Computational and Systems Pathology will be a hub for the development of new diagnostic, predictive, and prognostic tests and will partner with Mount Sinai-based “Precise Medical Diagnostics” (Precise MDTM), which has been under development for more than three years by a team of physicians, scientists, mathematicians, engineers, and programmers.

Mount Sinai’s Department of Pathology processes more than 80 million tests a year, making it the largest department of its kind in the country, its officials said. Meanwhile, Precise MD is developing new approaches to characterizing an individual’s cancer by combining multiple data sources and analyzing them with mathematical algorithms, offering an alternative to standard approaches.  One such example is Precise MD’s approach to improve upon the Gleason score, a grading system that has been used since the 1960s to establish the prognosis for a prostate cancer and guide the patient’s treatment options.

“We’re characterizing tumors based on the combination of their architectural patterns and biomarkers,” said Gerardo Fernandez, M.D., Associate Professor of Pathology, and Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai, who will also serve as the Center’s Medical Director. “Computer vision analysis, leveraging multispectral fluorescence microscopic imaging, enables us to see what the human eye cannot.”

Carlos Cordon-Cardo, M.D., Ph.D., will oversee the new center, located at Mount Sinai St. Luke’s, and will continue his role as Chair of the Department of Pathology at the Mount Sinai Health System and Professor of Pathology, Genetics and Genomic Sciences, and Oncological Sciences at the Icahn School of Medicine. “Our goal is to provide a precise mathematical approach to classifying and treating disease, which will assist our clinicians with information for effective patient care and health management,” said Cordon-Cardo.  “By refining diagnoses, we can save patients from unnecessary treatments.”

In its initial phase this summer, Precise MD will complete a test used for patients who have had prostatectomies at Mount Sinai Health System, to help determine which of them are more likely to have a recurrence of cancer and may need additional therapy such as chemotherapy. 

“Precise MD’s approach gives us an in-depth knowledge about biological behavior of prostate cancer and allows us to choose appropriate patients for active surveillance,” added Ash Tewari, M.D., Chair of the Department of Urology at the Mount Sinai Health System and the Kyung Hyun Kim, MD Professor of Urology at the Icahn School of Medicine. “Due to their support, we have a large pool of patients who are with active surveillance.”

A second, higher-impact test will follow in 2017, which will be used to characterize prostate cancer in newly diagnosed patients. At that time, Cordon-Cardo said that all prostate cancer patients at Mount Sinai will have the option to receive this test.   

It is anticipated that in 2017 other current efforts will yield additional novel computer vision and machine learning tools to better characterize breast cancer.  The Center for Computational and Systems Pathology and the Precise MD platform could eventually be used to characterize any number of disease states, including but not limited to melanoma, lung, and colon cancers as well as chronic inflammatory conditions such as inflammatory bowel disease, officials noted.

Get the latest information on Healthcare Analytics and attend other valuable sessions at this two-day Summit providing healthcare leaders with educational content, insightful debate and dialogue on the future of healthcare and technology.

Learn More

Topics

News

HITRUST CSF Certification Now Includes NIST Cybersecurity Certification

HITRUST has announced that HITRUST cybersecurity framework (CSF) version 9 enhancements now extend an “assess once, report many” approach as a standard security framework for multiple critical infrastructure industries and includes National Institute of Standards and Technology (NIST) Cybersecurity certification.

Premier: Analytics Helping Hospitals to Optimize Blood Use

An analysis of 645 hospitals revealed that comparative data analytics to drive performance improvement has the potential to optimize blood use across numerous diagnoses.

Almost 80 Percent of Clinicians Still Use Hospital-Issued Pagers

A study examining the communication technologies used by hospital-based clinicians found that close to 80 percent (79.8 percent) of clinicians continue to use hospital-provided pagers and 49 percent of those clinicians report they receive patient care-related messages most commonly by pager.

Survey: IT Expenses per Physician Continue to Rise to Nearly $19,000

Information technology (IT) expenses for physician practices are on a slow and steady rise for most practices, and last year, physician-owned practices spent between nearly $2,000 to $4,000 more per FTE physician on IT operating expenses than they did the prior year, according to a recent Medical Group Management Association (MGMA) survey.

Change Healthcare Joins Blockchain Initiative Hashed Health

Nashville-based Change Healthcare, one of the largest independent healthcare IT companies in the U.S., has announced that it has joined the Hashed Health consortium, a firm dedicated to realizing the potential of blockchain and distributed ledger technologies.

Three Large Health Systems Join North Carolina’s HIE

Three of the largest health systems in North Carolina, Duke Health, Novant Health and Carolinas HealthCare System, have signed agreements to connect to NC HealthConnex, North Carolina’s state-designated health information exchange (HIE).