{"id":3950,"date":"2015-08-26T14:00:52","date_gmt":"2015-08-26T14:00:52","guid":{"rendered":"https:\/\/www.tmc.edu\/news\/tmcx-company-profile-dibs\/"},"modified":"2019-08-16T15:00:15","modified_gmt":"2019-08-16T15:00:15","slug":"tmcx-company-profile-dibs","status":"publish","type":"post","link":"https:\/\/www.tmc.edu\/news\/2015\/08\/tmcx-company-profile-dibs\/","title":{"rendered":"TMCx Company Profile:  DiBS"},"content":{"rendered":"<p>Looking at an excel spreadsheet and trying to extract useful information and analytic conclusions can seem like an exercise in ocular torture. Rows and columns bleed together as your eyes are inundated with zeroes and ones, while distinctions between entirely separate categories become blurred. While the amount of health care data being collected is increasing exponentially, data analysis techniques are lagging behind\u2014often, that information just sits dormant in large databases, collecting dust without a way for users to interact with it.<strong>\u00a0<\/strong><\/p>\n<p>\u201cCurrent big data platforms require coding or complex user interfaces to build static visualizations,\u201d said Alex Bisberg, co-founder of Data is Beautiful Solutions (DiBS), a company seeking to empower users through interactive data visualization. \u201cOur new software, EASEL, gives users the power to create informative, interactive visualizations with just a few clicks. We want you to be able to identify what\u2019s the best way to look at your data, and avoid as many complex interfaces as possible in the process. \u201d<\/p>\n<p>\u201cEASEL helps you communicate your data rapidly with collaborators and colleagues,\u201d affirmed Wendy Hu, co-founder of DiBS. \u201cThat allows them to identify both new individual and crowd-based insights through our advanced algorithms. Providing a quick, easy-to-use interface to these huge data stores can lead to new discoveries\u2014by interacting with data through EASEL, doctors can better determine which therapies to give specific patients to improve their health.\u201d<\/p>\n<p>Imagine you\u2019re a bioinformatics specialist sifting through a spreadsheet containing a massive data set\u2014one that involves fitness statistics across a specific population, for example\u2014and questions about that set begin bubbling to the surface. Is there a correlation between zip code and overall fitness level? Does the number of miles ran correspond to protein intake and weight gain? By plugging that information into EASEL, vibrant and crisp visualizations spring to life\u2014realized through color-coded wheels and graphs popping with primary splashes of red, green and yellow\u2014making it easy to distill useful conclusions.<\/p>\n<p>\u201cPhrases we have heard repetitively by both friends and competitors are \u2018elegant design\u2019 and \u2018easy to use,\u2019\u201d noted Amina Qutub, Ph.D., co-founder of DiBS and an assistant professor of bioengineering at Rice University. \u201cWe have, thankfully, acknowledged this. Competitors have pointed out some challenges we could face in the future, such as connecting to multiple data sources and synthesizing with existing software platforms. We are currently facing these challenges head-on by working with leading industry partners.\u201d<\/p>\n<p>Qutub, along with co-founders Bisberg, who recently completed his undergraduate degree at Rice, and Hu, a doctoral candidate in Qutub\u2019s lab, came together during last year\u2019s DREAM challenge\u2014an online, crowd-sourced challenge to the systems biology community. Unified by their passion to build a better way to visualize and analyze biomedical data, the team\u2019s bright vision for the future is being cast into stark relief.<\/p>\n<p>\u201cDiBS is becoming a pioneer in developing enterprise solutions for hospitals as a way to allow doctors and researchers to quickly analyze their data and collaborate with their colleagues,\u201d said Bisberg. \u201cIt makes it possible for anyone from any specialty\u2014from a bioinformatics researcher, to a doctor, to a health policy expert\u2014to communicate in the same language. Our software tools will help health care professionals make new discoveries, speed up their workflow, and improve patient care.\u201d<\/p>\n<p>\u201cFurther down the road, we hope to expand beyond the hospital setting,\u201d he added. \u201cOther industries that face data problems that EASEL can help solve include oil and gas, marketing, and smart building management. We plan to capitalize on these industries in the future.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Looking at an excel spreadsheet and trying to extract useful information and analytic conclusions can seem like an exercise in ocular torture. Rows and columns bleed together as your eyes are inundated with zeroes and ones, while distinctions between entirely separate categories become blurred. 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