pyDeid: an improved, fast, flexible, and generalizable rule-based approach for deidentification of free-text medical records.

Objectives: Deidentification of personally identifiable information in free-text clinical data is fundamental to making these data broadly available for research. However, there exist gaps in the deidentification landscape with regard to the functionality and flexibility of extant tools, as well as suboptimal tradeoffs between deidentification accuracy and speed. To address these gaps and tradeoffs, we develop a new Python-based deidentification software, pyDeid.

Levamisole, as a viral vaccine adjuvant, induces robust host defense through the modulation of innate and adaptive immune responses.

Introduction: An effective vaccination policy must be implemented to prevent foot-and-mouth disease (FMD). However, the currently used vaccines for FMD have several limitations, including induction of humoral rather than cellular immune responses.

Methods: To overcome these shortcomings, we assessed the efficacy of levamisole, a small-molecule immunomodulator, as an adjuvant for the FMD vaccine.

Cation Effect on the Electrochemical Platinum Dissolution.

Ensuring the stability of electrocatalysts is paramount to the success of electrochemical energy conversion devices. Degradation is a fundamental process involving the release of positively charged metal ions into the electric double layer (EDL) and their subsequent diffusion into the bulk electrolyte. However, despite its vital importance in achieving prolonged electrocatalysis, the underlying causality of catalyst dissolution with the EDL structure remains largely unknown.

Factors associated with early onset hypocalcemia: A retrospective cohort study.

Background: Early onset hypocalcemia, occurring within 3 days of birth, is prevalent among preterm infants. A central line is required to deliver calcium (Ca). The prediction of hypocalcemia is therefore clinically important when the requirement for initial intravascular calcium administration is anticipated.

Exploratory profiling of metabolites in cerebrospinal fluid using a commercially available targeted LC-MS based metabolomics kit to discriminate leptomeningeal metastasis.

Background: Leptomeningeal metastasis (LM) is a devastating complication of cancer that is difficult to treat. Thus, early diagnosis is essential for LM patients. However, cerebrospinal fluid (CSF) cytology has low sensitivity, and imaging approaches are ineffective.