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Our Morristown Medical Center facility features 106 private patient rooms, while our Overlook Medical Center facility has 20 semi-private and seven private patient rooms. Family waiting rooms, located on each floor, are equipped with vending machines, TVs and restrooms, and wireless computer access is available throughout. Both hospitals have cafeterias, and Gagnon Cardiovascular Institute at Morristown Medical features a Starbucks-branded venue called Apple A Day Café.

Patient liaisons are available on each floor at Gagnon Cardiovascular Institute. These valuable staff members serve as the liaisons between patients, families and the hospital. They expedite the needs of patients, and orient patients and the families to our Emmi® system of patient education.

Mount Auburn Hospital was founded in 1886 as the first hospital in Cambridge, Massachusetts. Over the years, generations of committed individuals have dedicated their careers to achieving the vision of being the best community teaching healthcare system in the Boston area. On a mission to improve the health of the residents of Cambridge and surrounding communities, Mount Auburn Hospital is dedicated to delivering healthcare services in a personable, convenient, and compassionate manner, with respect for the dignity of patients and their families.

Mount Auburn Hospital is affiliated with Harvard Medical School, making significant contributions to educating the caregivers of tomorrow.  The hospital is fully accredited by the Joint Commission on Accreditation of Healthcare Organizations and is a member of the American Hospital Association, the Council of Teaching Hospitals, and the Association of American Medical Colleges.

Mount Auburn provides a number of clinical services to Cambridge and surrounding communities, including cardiac catheterization, laboratory services, rehabilitation services, and specialized services for men, women and seniors.

Founded in 1852, The Mount Sinai Hospital is a 1,171-bed, tertiary-care teaching facility acclaimed internationally for excellence in clinical care.

U.S. News & World Report ranks The Mount Sinai Hospital among the top hospitals nationwide. Mount Sinai also ranks in several specialties and is top 10 in three of those: Geriatrics (#3), Cardiology and Heart Surgery (#7), and Gastroenterology (#8).

Additionally, Kravis Children’s Hospital at Mount Sinai received U.S. News and World Report 2015-2016 rankings in seven pediatric specialties:

• Cancer
• Diabetes and Endocrinology
• Gastroenterology and GI Surgery
• Nephrology
• Neurology and Neurosurgery
• Pulmonology
• Urology

Icahn School of Medicine at Mount Sinai is internationally recognized as a leader in groundbreaking clinical and basic science research and is known for its innovative approach to medical education.

With a faculty of more than 3,400 in 38 clinical and basic science departments and centers, Mount Sinai ranks among the top 20 medical schools in receipt of National Institutes of Health grants. In its 2012 "America’s Best Graduate Schools" issue, U.S. News & World Report ranks the Icahn School of Medicine 18th out of 126 medical schools nationwide.

Founded in 1852, The Mount Sinai Hospital is a 1,171-bed, tertiary-care teaching facility acclaimed internationally for excellence in clinical care.

U.S. News & World Report ranks The Mount Sinai Hospital among the top hospitals nationwide. Mount Sinai also ranks in several specialties and is top 10 in three of those: Geriatrics (#3), Cardiology and Heart Surgery (#7), and Gastroenterology (#8).

Founded in 1852, The Mount Sinai Hospital is a 1,171-bed, tertiary-care teaching facility acclaimed internationally for excellence in clinical care.

U.S. News & World Report ranks The Mount Sinai Hospital among the top hospitals nationwide. Mount Sinai also ranks in several specialties and is top 10 in three of those: Geriatrics (#3), Cardiology and Heart Surgery (#7), and Gastroenterology (#8).

Founded in 1852, The Mount Sinai Hospital is a 1,171-bed, tertiary-care teaching facility acclaimed internationally for excellence in clinical care.

U.S. News & World Report ranks The Mount Sinai Hospital among the top hospitals nationwide. Mount Sinai also ranks in several specialties and is top 10 in three of those: Geriatrics (#3), Cardiology and Heart Surgery (#7), and Gastroenterology (#8).

We facilitate the real-world application and commercialization of Mount Sinai discoveries and the development of research partnerships

We facilitate the real-world application and commercialization of Mount Sinai discoveries and the development of research partnerships

At MTAnalyics we focus on increasing statistical power to improve the detection of weak association signals between variables. By contrast to data mining, we are using statistical tools that allow us to provide power and p-values in our analysis. In other words, we are specific alike classic statistics and sensitive as data mining.

For clinical trials, we significantly reduce the sample size while keeping the same power. Fundamentally, you will be able to decrease your sample size by 30% while keeping the same p-value, the same statistical power. Obvious main consequences: gain of time, of money, resources etc…

Our work addresses these challenges and aims at providing rationale to design and perform statistical analysis when large amount of data are available. We are not competing with the companies allowing to hire patients faster. We come into play before the design of the trial even started to allow for the design of a trial to include a reduced sample size. We focus in particular on increasing statistical power in order to reduce sample size or improving the detection of weak association between variables by leveraging all available information.

In big data, we provide insights into data sets, predict outcomes, increase the strengths of the models used to explain an outcome based on the analysis of a dataset. Again, the basis of our approach is to improve the detection of weak signals.

Any classical approach is able to detect a strong signal, but when an outcome is not explained (or associated) to one major or a few big variables but by a multiple of weak signals, you need a model to link and find these weak signals, in order to explain a maximum of your outcome.

With our approach, we are able to explain significantly more of the outcome, by reinforcing the models, by finding weak associations hidden in the data sets and missed by the other approaches. In other words, we detect associations that others cannot.