Publications by authors named "N L Kusch"

Article Synopsis
  • This study assessed the effectiveness of a set of interventions aimed at lowering medication errors during parenteral drug preparation in a neonatal and pediatric intensive care unit (NICU/PICU).
  • A clinical pharmacist and a pharmacy technician identified critical medication processes and introduced five key interventions, including improved drug labeling and centralized preparation for high-risk medications.
  • Following these interventions, the overall error rate decreased significantly from 1.32% to 0.78%, demonstrating that the strategies implemented successfully enhanced medication safety in the NICU/PICU.
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Natural killer (NK) cells hold promise in cancer treatment due to their ability to spontaneously lyse cancer cells. For clinical use, high quantities of pure, functional NK cells are necessary. Combining adherence-based isolation with specialized media showed the unreliability of the isolation method, but demonstrated the superiority of the NK MACS medium, particularly in suboptimal conditions.

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Drug sensitivity prediction models for human cancer cell lines constitute important tools in identifying potential computational biomarkers for responsiveness in a pre-clinical setting. Integrating information derived from a range of heterogeneous data is crucial, but remains non-trivial, as differences in data structures may hinder fitting algorithms from assigning adequate weights to complementary information that is contained in distinct omics data. In order to counteract this effect that tends to lead to just one data type dominating supposedly multi-omics models, we developed a novel tool that enables users to train single-omics models separately in a first step and to integrate them into a multi-omics model in a second step.

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Summary: Translational models that utilize omics data generated in in vitro studies to predict the drug efficacy of anti-cancer compounds in patients are highly distinct, which complicates the benchmarking process for new computational approaches. In reaction to this, we introduce the uniFied translatiOnal dRug rESponsE prEdiction platform FORESEE, an open-source R-package. FORESEE not only provides a uniform data format for public cell line and patient datasets, but also establishes a standardized environment for drug response prediction pipelines, incorporating various state-of-the-art pre-processing methods, model training algorithms and validation techniques.

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After the operation on the abdominal organs in 98 children ranging in age from 2.5 mos to 13 yrs, hyperbaric oxygenation (HBO) was included into the complex of therapeutic measures. Regime of HBO and number of seanses were chosen depending on a type of operative intervention and severity of the course of the main disease.

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