News/Events

AHRM Enters Partnership with Buffalo Institute of Genomics and Data Analytics through the University at Buffalo

Posted on Wed, May 15, 2019

Buffalo, NY (May 15, 2019) - Building upon momentum from growth in advanced analytics services, AHRM has officially partnered with the Buffalo Institute of Genomics and Data Analytics (BIG). This relationship will provide funding and enhanced access to resources within the University at Buffalo system in order to support various data-intensive projects with which AHRM is involved, both current and future.

Read more about this exciting news by following these links below!

KSL Biomedical, AHRM partner with UB’s BIG (from The University at Buffalo)

UB announces partnership with two health-tech companies (from Buffalo Business First)

About AHRM Inc: AHRM Inc. is a global clinical research organization offering clinical trial management, as well as a wide variety of additional research capabilities, including: HEOR, large-scale database analytics, advanced statistical methods, meta-analysis, cost dictionaries, market research analysis, IRB preparation & submission, and the newest of our offerings, investigator-initiated research assistance and machine learning.     

Established in 2008 AHRM Inc. is headquartered in Buffalo, NY at the New York State Center of Excellence in Bioinformatics & Life Sciences. Since inception AHRM Inc. has expanded its footprint to include offices in Raleigh, NC, USA (2012) Teddington, Britain, UK (2015) and most recently in Bogota, Colombia (2016).

Tags: Health Economics, Outcomes Research, Real World, HEOR, News

AHRM Inc. Launches Artificial Intelligence and Machine Learning Services

Posted on Wed, Nov 29, 2017

Buffalo, NY (November 29, 2017) – AHRM Inc. - a global CRO with a focus in Health Economics and Outcomes Research  - announced today the launch of enhanced analytical capabilities including artificial intelligence and machine learning.  “Our enhanced analytical capabilities are in part due to direct access to supercomputing resources located at our headquarters in Buffalo, NY.  AHRM Inc. has been partnering with the Center for Computational Research (CCR) located at the University at Buffalo,  New York State Center of Excellence in Bioinformatics & Life Sciences over the past year to utilize their clusters for healthcare research” said Raf Magar, CEO of AHRM Inc. 

Currently AHRM has the capacity to employ up to 3,500 cores for computational tasks—with plans to increase that number to 10,000 cores in late 2018—as well as continually-expanding volumes of high-speed and secure data storage. Dr. Christopher Tyson, Data Scientist for AHRM, believes that “with our enhanced computing capabilities, we will be able to fully explore the impact that machine learning can have within the healthcare industry. Having worked with these methods applied to questions in bioinformatics and biophysics,” he continued, “it will be exciting to see how we can leverage these techniques to provide solutions to deliver care to patients more efficiently and cost-effectively. We at AHRM perceive that the future of healthcare will involve man and machine working together to optimally predict, diagnose, and treat—or perhaps even avoid—ailments.” However, Dr. Tyson remarks “it is important to note that machine learning is not a catch-all to every problem, and in fact without proper understanding of the models, the data, and the desired outcomes, machine learning can often fail to deliver. AHRM’s inter-disciplinary team has experience in the healthcare industry, computational methods, natural sciences, and mathematics which provides the ability to understand each problem individually and prescribe a unique solution.”

AHRM Inc. has already benefited from its enhanced computing capabilities.  At present, AHRM is currently in discussion with an EMR provider to be the exclusive analytic vendor to provide customized analysis of de-identified patient medical records that can help providers better understand best practices, cost-effective care and potentially anticipate patterns of disease progression that may have not been identified previously.  

While machine learning has existed in some form since the mid-20th century, the recent availability of computational infrastructure to collect and process large amounts of data has made practical implementation of such techniques commercially viable. Machine learning and artificial intelligence influence the interaction between humans and the world around them every day, such as more efficient operation of the electrical grid, voice recognition systems, automotive safety features, or online experiences. With continual research into new methods for machine learning and artificial intelligence, the ability to reveal incredibly complex relationships in human health and the delivery of care will likewise become ubiquitous over the coming years.

About AHRM Inc: AHRM Inc. is a global clinical research organization offering clinical trial management, as well as a wide variety of additional research capabilities, including: HEOR, large-scale database analytics, advanced statistical methods, meta-analysis, cost dictionaries, market research analysis, IRB preparation & submission, and the newest of our offerings, investigator-initiated research assistance and machine learning.     

Established in 2008 AHRM Inc. is headquartered in Buffalo, NY at the New York State Center of Excellence in Bioinformatics & Life Sciences. Since inception AHRM Inc. has expanded its footprint to include offices in Raleigh, NC, USA (2012) Teddington UK (2015) and most recently in Bogota, Columbia (2016).  For more news and information about AHRM Inc., please visit www.ahrminc.com

SOURCE: AHRM Inc.

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Tags: Health Economics, Real World, News

AHRM Inc. Signs Alliance Agreement with ARAC, Ltd. in the UK for Research Monitoring

Posted on Mon, Jan 05, 2015

Buffalo, NY (January 5, 2015) – AHRM Inc. and ARAC, Ltd. have signed an alliance agreement to provide local monitoring services to support outcomes research and registration trials throughout the EU region. This will further enhance AHRM Inc.’s presence in the EU by strengthening the ability to capture real world data outside registration trials.  “The ability to include real world data for outcome studies provide the user with more accurate and reliable results”, said Raf Magar, President of AHRM Inc. 

 “Collaborating with ARAC to provide local monitoring and data management support is an exciting development for our company and continues our global expansion, which also includes Latin America in late 2015. Our sponsors will benefit from local expertise and aggressive timelines”

 “AHRM Inc. is a great partner and this agreement exemplifies their dedication to collaborate with companies that share our vision of providing local support”, said Richard Dukes, President of ARAC, Ltd. ARAC is known for its track record in monitoring trials over the last 14 years in the US, EU and South America. 

About AHRM Inc.

Founded in 2008, AHRM Inc. is a global CRO with a focus in Health Outcomes and Health Economics Research. AHRM Inc. has conducted both registration trials and outcomes research across North America, the European Union, Latin America and South Korea.  AHRM Inc. is headquartered at the New York State Center of Excellence in Bioinformatics & Life Sciences building in Buffalo, New York.  For more information about AHRM Inc., please visit us at http://www.ahrminc.com

 

 About ARAC Ltd

ARAC (Acme Research and Consulting), Ltd., is a subsidiary of Acme Monitoring, Inc. which was founded in 2006. The company has participated in clinical drug and medical device trials conducted in North America, South America and the European Union. Headquartered in Teddington, UK, ARAC, Ltd. is well-positioned to serve the UK/EU region.

 For more information about ARAC, Ltd., please visit us at http://www.aracltd.com

 For more information please contact:

 Laura Dalfonso

AHRM INC.
701 Ellicott Street               
Buffalo, NY 14203 
Phone:   +1-716-881-7549

Email: ldalfonso@ahrminc.com    

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Tags: Health Economics, Outcomes Research, Real World, HEOR