Big data and AI are not simply accelerating biomedical research — they are fundamentally transforming how it is conducted. “The traditional approach to biomedical research adopts a ‘one ...

RIT biomedical engineering professor Cristian Linte and his research team are integrating artificial intelligence techniques ...

Big data resources are also found in linked biomedical databases like population-based study cohorts from multiple sources. These could include electronic medical records, laboratory results ...

The convergence of artificial intelligence (AI), biotechnology, and biomedical big data holds promise to transform understanding of human health and disease. Driven by the increasing availability and ...

The use of large, complex, and varied data sets in clinical care and biomedical research presents significant opportunity. There is a great need for professionals who can manage, integrate, analyze, ...

The development of big data in the biomedical field provides new opportunities for innovative work to improve health outcomes. Big data is redefining healthcare, expanding capabilities in mining ...

The grant was one of several new software development awards within the NIH Big Data to Knowledge (BD2K) Initiative, which supports efforts to improve the production, analysis, management, and ...

UD’s Computational Biology, Bioinformatics and Biomedical Data Science Program (CBB ... “The majority of current molecular biology and microbiology research generates big data that require ...

The Biomedical & Health Informatics doctoral program trains researchers ... include the analysis of clinical data for early markers of kidney disease, the use of big data technologies for processing ...

The West China Biomedical Big Data Center at West China Hospital of Sichuan University integrates multidisciplinary medical expertise, vast clinical data from four affiliated hospitals ...

Their project, titled “Expanding Genomic Data Science Access via Cloud Computing and Dynamic Learning Modules,” focuses on multidisciplinary fields that leverage the statistical analysis of large ...

Data scientists are particularly important within life sciences as “big data” is generated constantly. Biomedical data scientists could work in a variety of settings, from universities to ...