Incorporating a location-based socioeconomic index into a de-identified i2b2 clinical data warehouse.

Objective: Clinical research data warehouses are largely populated from information extracted from electronic health records (EHRs). While these data provide information about a patient's medications, laboratory results, diagnoses, and history, her social, economic, and environmental determinants of health are also major contributing factors in readmission, morbidity, and mortality and are often absent or unstructured in the EHR. Details about a patient's socioeconomic status may be found in the U.

An alternative database approach for management of SNOMED CT and improved patient data queries.

Objective: SNOMED CT is the international lingua franca of terminologies for human health. Based in Description Logics (DL), the terminology enables data queries that incorporate inferences between data elements, as well as, those relationships that are explicitly stated. However, the ontologic and polyhierarchical nature of the SNOMED CT concept model make it difficult to implement in its entirety within electronic health record systems that largely employ object oriented or relational database architectures.

Employing complex polyhierarchical ontologies and promoting interoperability of i2b2 data systems.

I2b2 is in widespread use for managing research data warehouses. It employs reference ontologies as a record index and supports searching for aggregate cases using a pattern match operator on ASCII strings representing the node traversal from root to concept(PATHs). This creates complexities in dissemination and deployment for large polyhierarchical ontologies such as SNOMED CT.

A content and structural assessment of oxidative motifs across a diverse set of life forms.

Exposure to weightlessness (microgravity) or other protein stresses are detrimental to animal and human protein tissue health. Protein damage has been associated with stress and is linked to aging and the onset of diseases such as Alzheimer׳s, Parkinson׳s, sepsis, and others. Protein stresses may cause alterations to physical protein structure, altering its functional identity.

Bio-logic builder: a non-technical tool for building dynamical, qualitative models.

Computational modeling of biological processes is a promising tool in biomedical research. While a large part of its potential lies in the ability to integrate it with laboratory research, modeling currently generally requires a high degree of training in mathematics and/or computer science. To help address this issue, we have developed a web-based tool, Bio-Logic Builder, that enables laboratory scientists to define mathematical representations (based on a discrete formalism) of biological regulatory mechanisms in a modular and non-technical fashion.