Using Big Data to Discover Comorbitities Associated with Psoriasis

Discussion about Big Data; Relevance for Healthcare). A commonly accepted definition for big data is the use of extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations. I am particularly interested in the use of big data for predictive analytics in healthcare (see: Big data analytics in healthcare: promise and potential). Now comes an article about the use of big data to discover the co-morbidities associated with psoriasis (see:Researchers receive $6.5 million NIH grant to use big data to tackle psoriasis). Below is an excerpt from it:An experienced interdisciplinary team of psoriasis and computational researchers from Case Western Reserve University School of Medicine (CWRU SOM) and University Hospitals Cleveland Medical Center (UHCMC) has received a $6.5M, 5-year grant from the National Institute of Arthritis, Musculoskeletal and Skin Diseases (NIAMS). The grant supports a Center of Research Translation in Psoriasis (CORT) at CWRU and UHCMC....The goal is to better identify and treat those psoriasis patients that are more susceptible to developing comorbidities ...associated with psoriasis, such as cardiovascular disease, diabetes, depression, and psoriatic arthritis. Currently it is difficult for physicians to determine which patients will develop these comorbidities. The researchers will cull data collected from blood and skin samples of UHCMC psoriasis patients and preclinical models, looking for new ...
Source: Lab Soft News - Category: Laboratory Medicine Authors: Tags: Healthcare Information Technology Healthcare Innovations Medical Research Preventive Medicine Source Type: blogs