A5086503740- SARS-CoV-2 and COVID-19 Research
- Analytical chemistry methods development
- COVID-19 Clinical Research Studies
- Electrochemical Analysis and Applications
- Computational Drug Discovery Methods
- Nanoparticles: synthesis and applications
- Model-Driven Software Engineering Techniques
- COVID-19 epidemiological studies
- Mass Spectrometry Techniques and Applications
- Business Process Modeling and Analysis
- Ion-surface interactions and analysis
- Health and Medical Studies
- Game Theory and Applications
- Aluminum toxicity and tolerance in plants and animals
- Dendrimers and Hyperbranched Polymers
- Heavy Metal Exposure and Toxicity
- Advanced MRI Techniques and Applications
- Optimization and Search Problems
- Distributed systems and fault tolerance
- Petroleum Processing and Analysis
- Nanotechnology research and applications
- Long-Term Effects of COVID-19
- Scientific Measurement and Uncertainty Evaluation
- Cell Image Analysis Techniques
- Microplastics and Plastic Pollution
Carl von Ossietzky Universität Oldenburg
2022-2025
Klinikum Oldenburg
2022-2023
Federal Institute for Risk Assessment
2019-2020
University at Albany, State University of New York
2020
Federal Institute For Materials Research and Testing
2019
In an in vitro nanotoxicity system, cell–nanoparticle (NP) interaction leads to the surface adsorption, uptake, and changes into nuclei/cell phenotype chemistry, as indicator of oxidative stress, genotoxicity, carcinogenicity. Different types nanomaterials their chemical composition or "corona" have been widely studied context with nanotoxicology. However, rare reports are available, which delineate details cell shape index (CSI) nuclear area factors (NAFs) a descriptor type nanomaterials....
Materials at the nanoscale exhibit specific physicochemical interactions with their environment. Therefore, evaluating toxic potential is a primary requirement for regulatory purposes and safer development of nanomedicines. In this review, to aid understanding nano–bio from environmental health safety perspectives, potential, reality, challenges, future advances that artificial intelligence (AI) machine learning (ML) present are described. Herein, AI ML algorithms assist in reporting minimum...
With the advent of Nanotechnology, use nanomaterials in consumer products is increasing on a daily basis, due to which deep understanding and proper investigation regarding their safety risk assessment should be major priority. To date, there no microrheological properties (NMs) biological media. In our study, we utilized silico models select suitable NMs based physicochemical such as solubility lipophilicity. Then, established new method dynamic light scattering (DLS) microrheology get mean...
The knowledge about a potential in vivo uptake and subsequent toxicological effects of aluminum (Al), especially the nanoparticulate form, is still limited. This paper focuses on three day oral gavage study with different Al species Sprague Dawley rats. amount was investigated major organs order to determine bioavailability distribution. Al-containing nanoparticles (NMs composed Al0 oxide (Al2O3)) were administered at concentrations soluble chloride (AlCl3·6H2O) used as reference control one...
Journal Article Improved 1H Nuclear Magnetic Resonance Spectroscopy Quantification of Plasma Creatinine Get access Karen Friederike Gauß, Gauß Institute Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, GermanyUniversity Oldenburg, Germany Address correspondence to this author at: Ferdinand-Sauerbruch-Straße, D-17475 Germany. Tel +49-3834-86-19659; e-mail [email protected]. https://orcid.org/0000-0002-2587-8587 Search for other works by on: Oxford Academic Google...
Abstract Purpose Despite the need to generate valid and reliable estimates of protection levels against SARS-CoV-2 infection severe course COVID-19 for German population in summer 2022, there was a lack systematically collected population-based data allowing assessment level real time. Methods In IMMUNEBRIDGE project, we harmonised biosamples nine population-/hospital-based studies (total number participants n = 33,637) provide between June November 2022. Based on evidence synthesis, formed...
Computational Nanotoxicology Machine learning tools are making great strides in advancing computational nanotoxicology via in-silico modeling and ab-initio simulations to understand the nano-bio interactions from environmental health safety perspectives. In article number 2000084, Ajay Vikram Singh co-workers describe potential, reality, challenges, future advances that artifi cial intelligence (AI) machine (ML) present advanced material design toxicity predictions.
The study evaluates the effects on sero-immunity, health status and quality of life children adolescents after upsurge Omicron variant in Germany.This multicenter cross-sectional (IMMUNEBRIDGE Kids) was conducted within German Network University Medicine (NUM) from July to October 2022. SARS-CoV-2- antibodies were measured data SARS-CoV-2 infections, vaccinations, socioeconomic factors as well caregiver-reported evaluation their children's psychological assessed.497 aged 2-17 years included....
Nano-carrier systems such as liposomes have promising biomedical applications. Nevertheless, characterization of these complex samples is a challenging analytical task. In this study coupled hydrodynamic chromatography-single particle-inductively plasma mass spectrometry (HDC-spICP-MS) approach was validated based on the technical specification (TS) 19590:2017 international organization for standardization (ISO). The TS has been adapted to hyphenated setup. quality criteria (QC), e.g.,...
A broad range of inorganic nanoparticles (NPs) and their dissolved ions possess a possible toxicological risk for human health the environment. Reliable robust measurements dissolution effects may be influenced by sample matrix, which challenges analytical method choice. In this study, CuO NPs were investigated in several experiments. Two techniques (dynamic light scattering (DLS) inductively-coupled plasma mass spectrometry (ICP-MS)) used to characterize (size distribution curves)...
Abstract Despite the need to generate valid and reliable estimates of protection against SARS-CoV-2 infection severe course COVID-19 for German population in summer 2022, there was a lack systematically collected population-based data allowing assessment level real-time. In IMMUNEBRIDGE project, we harmonised biosamples nine population-/hospital-based studies (total number participants n=33,637) provide levels between June November 2022. Based on evidence synthesis, formed combined endpoint...
Abstract Objectives A recent challenge for clinical laboratories is the lack of clear guidelines handling significant modifications CE-marked assays. The may involve, example, extending measurement intervals, changing dilution procedures or using non-validated sample materials. arises due to amended Regulation (EU) 2017/746 on in vitro diagnostic medical devices (IVDR), which now poised implementation, despite extended transition periods. IVDR application imposes challenges not only...
Einleitung In spring 2022, Germany lacked systematically collected population-based SARS-CoV-2 data allowing real-time assessment of protection levels against severe course COVID-19. To fill this gap, the IMMUNEBRIDGE project, a joint collaboration eight population- and one hospital-based studies, was launched.
Using a discrete dynamical system model for networked social system, we consider the problem of learning class local interaction functions in such networks. Our focus is on which are based pairwise disjoint coalitions formed from neighborhood each node. work considers both active query and PAC models. We establish bounds number queries needed to learn under also complexity result regarding efficient consistent learners functions. experimental results synthetic real networks demonstrate how...
Metal-containing nanoparticles (NP) can be characterized with inductively coupled plasma mass spectrometers (ICP-MS) in terms of their size and number concentration by using the single-particle mode instrument (spICP-MS). The accuracy measurement depends on setup, operational conditions specific parameters that are set user. transport efficiency ICP-MS is crucial for quantification NP usually requires a reference material homogenous distribution known particle concentration. Currently,...
Metal-containing nanoparticles (NP) can be characterized with inductively coupled plasma mass spectrometers (ICP-MS) in terms of their size and number concentration by using the single-particle mode instrument (spICP-MS). The accuracy measurement depends on setup, operational conditions specific parameters that are set user. transport efficiency ICP-MS is crucial for quantification NP usually requires a reference material homogenous distribution known particle concentration. Currently,...