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- The study aimed to create a new prognostic model to estimate the risk of pulmonary complications after elective surgery, which is the leading cause of post-surgery death.
- Data from a large international cohort of over 86,000 patients was used, applying machine learning techniques to identify risk factors for complications like pneumonia and respiratory distress.
- The model, named the GSU-Pulmonary Score, was validated with additional cohorts and is available as an online tool to assist in patient care and resource management, especially important during pandemic recovery.
Toward a Cenozoic history of atmospheric CO.
Science
December 2023
Frontiers Science Center for Deep-time Digital Earth, School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing, China.
The geological record encodes the relationship between climate and atmospheric carbon dioxide (CO) over long and short timescales, as well as potential drivers of evolutionary transitions. However, reconstructing CO beyond direct measurements requires the use of paleoproxies and herein lies the challenge, as proxies differ in their assumptions, degree of understanding, and even reconstructed values. In this study, we critically evaluated, categorized, and integrated available proxies to create a high-fidelity and transparently constructed atmospheric CO record spanning the past 66 million years.
View Article and Find Full Text PDFHNN-core: A Python software for cellular and circuit-level interpretation of human MEG/EEG.
J Open Source Softw
December 2023
Department of Neuroscience, Brown University, Providence, RI, USA.
HNN-core is a library for circuit and cellular level interpretation of non-invasive human magneto-/electro-encephalography (MEG/EEG) data. It is based on the Human Neocortical Neurosolver (HNN) software (Neymotin et al., 2020), a modeling tool designed to simulate multiscale neural mechanisms generating current dipoles in a localized patch of neocortex.
View Article and Find Full Text PDFRead-across and new approach methodologies applied in a 10-step framework for cosmetics safety assessment - A case study with parabens.
Regul Toxicol Pharmacol
July 2022
Cosmetics Europe, 40 Avenue Hermann-Debroux, Brussels, Belgium. Electronic address:
Parabens are esters of para-hydroxybenzoic acid that have been used as preservatives in many types of products for decades including agrochemicals, pharmaceuticals, food and cosmetics. This illustrative case study with propylparaben (PP) demonstrates a 10-step read-across (RAX) framework in practice. It aims at establishing a proof-of-concept for the value added by new approach methodologies (NAMs) in read-across (RAX) for use in a next-generation risk assessment (NGRA) in order to assess consumer safety after exposure to PP-containing cosmetics.
View Article and Find Full Text PDFA 10-step framework for use of read-across (RAX) in next generation risk assessment (NGRA) for cosmetics safety assessment.
Regul Toxicol Pharmacol
March 2022
Cosmetics Europe, 40 Avenue Hermann-Debroux, 1160, Brussels, Belgium. Electronic address:
This paper presents a 10-step read-across (RAX) framework for use in cases where a threshold of toxicological concern (TTC) approach to cosmetics safety assessment is not possible. RAX builds on established approaches that have existed for more than two decades using chemical properties and in silico toxicology predictions, by further substantiating hypotheses on toxicological similarity of substances, and integrating new approach methodologies (NAM) in the biological and kinetic domains. NAM include new types of data on biological observations from, for example, in vitro assays, toxicogenomics, metabolomics, receptor binding screens and uses physiologically-based kinetic (PBK) modelling to inform about systemic exposure.
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