Osrc Network

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About Osrc Network

Open Source Research Collaboration (OSRC) is an open platform to explore, develop and validate new tools to conduct medical research. These innovative tools implement information technologies in medical research through multi-disciplinary research teams approach cherished by OSRC. The OSRC is an open-source product that encourages spin off startups based on these innovative research tools. In this model OSRC is an academic institute, incubator and/or accelerator of startups. Our members can get involved in academic research as well as entrepreneurial creativity, leadership, and problem-solving activities.

Students' corner at OSRC

Osrc Network25 Oct, 2022Health

OSRC believes that seeking knowledge requires a mindset based on life-long learning. Part of this life-long learning comes from teaching. When we teach, we reflect upon our ideas as well as our methods of communication. ?I enjoy learning. If you are not enjoying, you are not learning?, one of our members told this website. Teaching medical students has its unique character because the knowledge acquired will be transferred into clinical practice and impact on patient care are long?term outcomes.

Human anatomy project - OSRC Research

Osrc Network26 Sep, 2022Health

Anatomy is a morphological discipline that requires a large amount of human morphological material as a bridge for knowledge dissemination. Traditional anatomy teaching uses wall charts, books, slides, anatomical specimens, and practical anatomy as teaching resources and methods. With the expansion of medical education and the reduction in human anatomical specimens, as well as the limitations of time and place for anatomical training, the quality of anatomy teaching has been seriously affected.

Crowd science by OSRC Network

Osrc Network26 Sep, 2022Health

OpenSourceResearch collaboration launched as a crowd science initiative in 2018. It has been growing in size and global reach since then. We are working to investigate crowd science projects in the in medicine, to encourage crowd science the research projects.

Search engine to navigate in electronic patients� records

Osrc Network26 Sep, 2022Health

Electronic health records (EHRs) hold promise to improve productivity, quality, and outcomes; however, using EHRs can be cumbersome, disruptive to workflow, and off-putting to patients and clinicians. One proposed solution to this problem is the use of medical scribes to generate data for research and real-time analysis.

Data mining and big data management:

Osrc Network26 Sep, 2022Health

It is crucial to select the appropriate method of data mining according to the business or the problem statement. Our researches Applications will Detect complex patterns in chronic diseases and improve the organisation of data. Big data is data that has been defined as having all of the characteristics defined by the ?5 Vs?: volume (lots of data), variety (highly diverse data), velocity (changing very fast), veracity (hard to fully validate) and Value. Data Mining is an exploratory data-analytic process that detects interesting, novel patterns within one or more data sets (that are usually large). It employs a variety of techniques, including the machine-learning techniques and standard multivariate statistical techniques.

Publications by OpenSourceResearch Collaboration

Osrc Network26 Sep, 2022Health

Innovate the medical research with the publications by Open Source Research Collaboration. Postoperative complications and waiting time for surgical intervention after radiologically guided drainage of intra-abdominal abscess in patients with Crohn?s disease. Open Source Research Collaboration (OSRC) is an open platform to explore, develop and validate new tools to conduct medical research. These innovative tools implement information technologies in medical research through multi-disciplinary research teams approach cherished by OSRC.

Synthetic data, data augmentation and developing the data de-identification:

Osrc Network26 Sep, 2022Health

Synthetic data, data augmentation and developing the data de-identification; OSRC is bringing the new research tools and opportunities for medical students. Large datasets that are diverse and representative (of the heterogeneity of phenotypes in the gender, ethnicity and geography of the individuals or patients, and in the healthcare systems, workflows and equipment used) are necessary to develop and refine best practices in evidence-based medicine involving artificial intelligence. To overcome the paucity of annotated medical data in real-world settings, synthetic data are being increasingly used. Synthetic data can be created from perturbations using accurate forward models (that is, models that simulate outcomes given specific inputs), physical simulations or AI-driven generative models.