As cloud computing becomes the next big consumer techo trend, allowing people to access but not have to physically store everything from playlists to photos, it's also on the verge of revolutionizing the way research is done. Using the cloud model as inspiration, biomedical informatics scientists at The Ohio State University have created the Translational Research Informatics and Data management grid (TRIAD), a system which is helping researchers around the world access and analyze biomedical data at an unprecedented pace.

"With the current technology, a researcher might dedicate more than 100 hours to connect the dots between a set of tissue samples, the individual medical histories for the patients who provided those tissues, and then analyzing the group as a whole. With the TRIAD platform, researchers can now execute this type of search and analysis in minutes," says Philip R. O. Payne, chair of the department of biomedical informatics at The Ohio State University Medical Center.

The development of TRIAD started a year ago when a team led by Payne and Dr. Rebecca Jackson, principal investigator of Ohio State's Clinical and Translational Science Award, received funding from the National Institutes of Health to build a new system to meet the growing and unique needs of translational researchers. TRIAD has been so revolutionary for the biomedical informatics field, that the research team recently received an additional $300,000 in funding to complete the grant's specific aims and help extend and support its implementation at other academic research institutions.

How it works

Cloud computing is a term used to describe a system that allows easy access to a shared pool of resources (e.g., applications, servers, storage, networks) that can be quickly allocated and released with minimal effort by an administrator. The "cloud" acts like a virtual supercomputer that can pull together a cluster of other computers to work together to perform certain tasks. The system works well when the data that are being stored, accessed and shared are in common formats that are universally "recognized" by end user tools. But research data are often not captured or stored in formats that are compatible.

"When it comes to biomedical research, you have the digital equivalent of the Tower of Babel. One piece is written in French. And another is written in Russian. And maybe a third component is in Chinese," explains Payne. "TRIAD acts like the ultimate interpreter between all the different "languages" that biomedical data comes in so that researchers spend time figuring out how the information could improve the way we treat a disease rather than spend time finding and translating various data sets."

Built on the "framework" of the caGRID a successful middleware platform that Ohio State created for the National Cancer Institute (NCI) in 2005, TRIAD pulls all of the data into a "cloud" where it can be translated into a "language" that the end user's data analysis tools can understand regardless of the tool(s) the end user is running. Further, because TRIAD works with existing research databases such as REDcap and I2B2, its adoption doesn't replace what researchers are already familiar with, but exponentially expands what information and types of data repositories they are able to access.

This type of access helps overcome complexities that are unique to biomedical informatics, such as the way that tissue samples and medical records are accessed and stored. Because of privacy issues, to match an individual tissue sample and a corresponding medical history becomes a search that must be approved by an internally. TRIAD enables researchers to anonymously match tissue samples with de-identified clinical data from medical records using what is known as "honest broker protocol," maintaining the patient's privacy rights while eliminating the time-intensive process of seeking additional approval for each individual study that does not require access to patient identifiers such as names, addresses, and medical record numbers.

Currently, nearly 20 sites, including several other CTSAs and NIH-funded programs, have adopted TRIAD. The critical pieces to the success of TRIAD are its open-source and collaborative design, development, technical documentation, best practices and software components. Members of the TRIAD community - including the CTSA Service Oriented Architecture Affinity Group - actively participate in the adoption, adaptation, and development of the TRIAD platform.

Accelerating research around the corner, around the world

TRIAD is not only simplifying research for multi-disciplinary teams working across campus from each other but also for researchers who are working in different parts of the country, and on the other side of the globe. It has been particularly effective for scientists studying orphan diseases, allowing them to aggregate and analyze rare biomedical and clinical data in ways not possible before. Institutions are using TRIAD in a variety of groundbreaking projects:

Source: Ohio State University Center for Clinical and Translational Science

  • Additional
  • References
  • Citations

Rheumatoid arthritis (RA) sufferers are at an increased risk of dying due to cardiovascular disease. A new five year study published in BioMed Central's open access journal Arthritis Research & Therapy showed that the risk of cardiovascular disease for people with RA is due to disease-related inflammation as well as the risk factors which affect the general population. Treatment of arthritis with disease modifying antirheumatic drugs (DMARDs) also reduced the patient's risk of heart disease.

Over 400 people with RA were followed from date of diagnosis for five years. Progression of their disease was measured using chemical markers of inflammation and physical appearance. Treatment regimes were monitored along with risk factors for heart disease, including weight, cholesterol levels, blood pressure, diabetes and smoking.

After five years, 97% of the patients had been treated with DMARDs, reducing both the chemical markers of inflammation and the physical appearance of their arthritis. Patients were also looking after themselves better - fewer patients were smokers and their BMI, and blood pressure, had reduced (due in part to treatment for high blood pressure).

Analysis of the patient data revealed that a new cardiovascular event such as heart disease, stroke or DVT could be predicted by intensity of their arthritis and by presence of diabetes, high blood pressure, and the level of triglycerides. Encouragingly treatment with DMARDs decreased the risk but COX-2 inhibitors appeared to predict a new event.

Dr Wållberg-Jonsson from University Hospital, Umeå, in Sweden said, "Inflammation associated with rheumatoid arthritis increases patients risk of heart disease and other cardiovascular events. However it is possible to reduce this risk in a two-pronged attack by treating both the inflammation and traditional risk factors for heart disease."

More information: Cardiovascular events in early rheumatoid arthritis (RA) are a result of inflammatory burden and traditional risk factors: a five year prospective study, Lena Innala, Bozena Möller, Lotta Ljung, Staffan Magnusson, Torgny Smedby, Anna Sodergren, Marie-Louise Öhman, Solbritt Rantapää-Dahlqvist and Solveig Wållberg-Jonsson, Arthritis Research & Therapy, (in press)

Provided by BioMed Central (news : web)

It was painted in 1988 by Reverend Howard Finster and is done in vibrant colors and also depicts the buildings in the market like an ice cream parlor and the Hotel Van Nuys. She favors animal prints, and I found one of a woman reclining in a hammock. I spent a lot of time with my grandmother and her house was full of them.I have loved folk art paintings since I was a child. One of my favorites that she had was done by John Roeder. I don't know whose smile is bigger, the one in the painting or the one on my face every time I look at it.One of my favorite paintings was done in 1962 by Bill Dodge. I saw a painting he did of a fishing scene but I chose not to buy it. It's pretty funny to me that when we were growing up, she'd cry because she wasn't allowed to play football with us.The painting that has touched me the most features a sad little girl and is called A Letter From My Mother.There is a water scene that.....

Treatment regimes were monitored along with risk factors for heart disease, including weight, cholesterol levels, blood pressure, diabetes and smoking. Over 400 people with RA were followed from date of diagnosis for five years."When it comes to biomedical research, you have the digital equivalent of the Tower of Babel.As cloud computing becomes the next big consumer techo trend, allowing people to access but not have to physically store everything from playlists to photos, it's also on the verge of revolutionizing the way research is done. Patients were also looking after themselves better - fewer patients were smokers and their BMI, and blood pressure, had reduced (due in part to treatment for high blood pressure). Encouragingly treatment with DMARDs decreased the risk but COX-2 inhibitors appeared to predict a new event. Institutions are using TRIAD in a variety of groundbreaking projects: Source: Ohio State University Center for Clinical and Translational Science Additional References Citations Rheumatoid arthritis (RA) sufferers are at an increased risk of dying due to cardiovascular disease. However it is possible to reduce this risk in a two-pronged attack by treating both the inflammation and traditional risk factors for heart disease. One piece is written in French. O.This type of access helps overcome complexities that are unique to biomedical informatics, such as the way that tissue samples and medical records are accessed and stored.How it works Cloud computing is a term used to describe a system that allows easy access to a shared pool of resources (e. Payne, chair of the department of biomedical informatics at The Ohio State University have created the Translational Research Informatics and Data management grid (TRIAD), a system which is helping researchers around the world access and analyze biomedical data at an unprecedented pace. After The painting that has touched me the most features a sad little girl and is called A Letter From My Mother. I'll find someone to give it to. She looked so relaxed, that I could imagine what it felt like to lie there myself.My sister also shares my love for folk art. One of my favorites that she had was done by John Roeder. It's called First Trolley to Van Nuys and shows the center of a town filled with people. It's called Alligator Fisher and I'm thinking about getting because it reminds me of my cajun heritage, most of my family is from Louisiana..Another painting that I admire is called Howard in 1944.There is a water scene that I really like painted in 1940. I don't know whose smile is bigger, the one in the painting or the one on my face every time I look at it. If she could kick the ball they way she liked to kick me in the knee, I'd see to it she played for my team every time.I have loved folk art paintings since I was a child.One of the most famous American artists is Thomas Chambers. I have a friend who collects these and I found one of a woman reclining in a hammock. It was painted in 1988 by Reverend Howard Finster and is done in enamel. I spent a lot of time playing in my tree house, that the trees in the picture appealed to me so much. I saw a painting he did of a fishing scene but I chose not to buy it. It's too bad my parents didn't let her play football with us.There is a subcategory of folk art paintings that depict the world of black Americans. I don't particularly care for his

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As cloud computing becomes the next big consumer techo trend, allowing people to access but not have to physically store everything from playlists to photos, it's also on the verge of revolutionizing the way research is done. Using the cloud model as inspiration, biomedical informatics scientists at The Ohio State University have created the Translational Research Informatics and Data management grid (TRIAD), a system which is helping researchers around the world access and analyze biomedical data at an unprecedented pace.

"With the current technology, a researcher might dedicate more than 100 hours to connect the dots between a set of tissue samples, the individual medical histories for the patients who provided those tissues, and then analyzing the group as a whole. With the TRIAD platform, researchers can now execute this type of search and analysis in minutes," says Philip R. O. Payne, chair of the department of biomedical informatics at The Ohio State University Medical Center.

The development of TRIAD started a year ago when a team led by Payne and Dr. Rebecca Jackson, principal investigator of Ohio State's Clinical and Translational Science Award, received funding from the National Institutes of Health to build a new system to meet the growing and unique needs of translational researchers. TRIAD has been so revolutionary for the biomedical informatics field, that the research team recently received an additional $300,000 in funding to complete the grant's specific aims and help extend and support its implementation at other academic research institutions.

How it works

Cloud computing is a term used to describe a system that allows easy access to a shared pool of resources (e.g., applications, servers, storage, networks) that can be quickly allocated and released with minimal effort by an administrator. The "cloud" acts like a virtual supercomputer that can pull together a cluster of other computers to work together to perform certain tasks. The system works well when the data that are being stored, accessed and shared are in common formats that are universally "recognized" by end user tools. But research data are often not captured or stored in formats that are compatible.

"When it comes to biomedical research, you have the digital equivalent of the Tower of Babel. One piece is written in French. And another is written in Russian. And maybe a third component is in Chinese," explains Payne. "TRIAD acts like the ultimate interpreter between all the different "languages" that biomedical data comes in so that researchers spend time figuring out how the information could improve the way we treat a disease rather than spend time finding and translating various data sets."

Built on the "framework" of the caGRID a successful middleware platform that Ohio State created for the National Cancer Institute (NCI) in 2005, TRIAD pulls all of the data into a "cloud" where it can be translated into a "language" that the end user's data analysis tools can understand regardless of the tool(s) the end user is running. Further, because TRIAD works with existing research databases such as REDcap and I2B2, its adoption doesn't replace what researchers are already familiar with, but exponentially expands what information and types of data repositories they are able to access.

This type of access helps overcome complexities that are unique to biomedical informatics, such as the way that tissue samples and medical records are accessed and stored. Because of privacy issues, to match an individual tissue sample and a corresponding medical history becomes a search that must be approved by an internally. TRIAD enables researchers to anonymously match tissue samples with de-identified clinical data from medical records using what is known as "honest broker protocol," maintaining the patient's privacy rights while eliminating the time-intensive process of seeking additional approval for each individual study that does not require access to patient identifiers such as names, addresses, and medical record numbers.

Currently, nearly 20 sites, including several other CTSAs and NIH-funded programs, have adopted TRIAD. The critical pieces to the success of TRIAD are its open-source and collaborative design, development, technical documentation, best practices and software components. Members of the TRIAD community - including the CTSA Service Oriented Architecture Affinity Group - actively participate in the adoption, adaptation, and development of the TRIAD platform.

Accelerating research around the corner, around the world

TRIAD is not only simplifying research for multi-disciplinary teams working across campus from each other but also for researchers who are working in different parts of the country, and on the other side of the globe. It has been particularly effective for scientists studying orphan diseases, allowing them to aggregate and analyze rare biomedical and clinical data in ways not possible before. Institutions are using TRIAD in a variety of groundbreaking projects:

Source: Ohio State University Center for Clinical and Translational Science

  • Additional
  • References
  • Citations

Rheumatoid arthritis (RA) sufferers are at an increased risk of dying due to cardiovascular disease. A new five year study published in BioMed Central's open access journal Arthritis Research & Therapy showed that the risk of cardiovascular disease for people with RA is due to disease-related inflammation as well as the risk factors which affect the general population. Treatment of arthritis with disease modifying antirheumatic drugs (DMARDs) also reduced the patient's risk of heart disease.

Over 400 people with RA were followed from date of diagnosis for five years. Progression of their disease was measured using chemical markers of inflammation and physical appearance. Treatment regimes were monitored along with risk factors for heart disease, including weight, cholesterol levels, blood pressure, diabetes and smoking.

After five years, 97% of the patients had been treated with DMARDs, reducing both the chemical markers of inflammation and the physical appearance of their arthritis. Patients were also looking after themselves better - fewer patients were smokers and their BMI, and blood pressure, had reduced (due in part to treatment for high blood pressure).

Analysis of the patient data revealed that a new cardiovascular event such as heart disease, stroke or DVT could be predicted by intensity of their arthritis and by presence of diabetes, high blood pressure, and the level of triglycerides. Encouragingly treatment with DMARDs decreased the risk but COX-2 inhibitors appeared to predict a new event.

Dr Wållberg-Jonsson from University Hospital, Umeå, in Sweden said, "Inflammation associated with rheumatoid arthritis increases patients risk of heart disease and other cardiovascular events. However it is possible to reduce this risk in a two-pronged attack by treating both the inflammation and traditional risk factors for heart disease."

More information: Cardiovascular events in early rheumatoid arthritis (RA) are a result of inflammatory burden and traditional risk factors: a five year prospective study, Lena Innala, Bozena Möller, Lotta Ljung, Staffan Magnusson, Torgny Smedby, Anna Sodergren, Marie-Louise Öhman, Solbritt Rantapää-Dahlqvist and Solveig Wållberg-Jonsson, Arthritis Research & Therapy, (in press)

Provided by BioMed Central (news : web)