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http://dx.doi.org/10.1126/science.1218171 | DOI Listing |
J Neurotrauma
November 2024
Department of Neurosurgery, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Traumatic spinal cord injury (SCI) is a devastating condition for which effective neuroregenerative and neuroreparative strategies are lacking. The post-traumatic disruption of the blood-spinal cord barrier (BSCB) as part of the neurovascular unit (NVU) is one major factor in the complex pathophysiology of SCI, which is associated with edema, inflammation, and cell death in the penumbra regions of the spinal cord adjacent to the lesion epicenter. Thus, the preservation of an intact NVU and vascular integrity to facilitate the regenerative capacity following SCI is a desirable therapeutic target.
View Article and Find Full Text PDFJ Neurol Surg B Skull Base
October 2024
Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States.
Nat Commun
July 2024
Department of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
J Neurosurg Sci
October 2024
Department of Neurosurgery, Rutgers Robert Wood Johnson Medical School, New Bruswick, NJ, USA -
"The history of the world is the biography of the great man. And I said: the great man always acts like a thunder. He storms the skies, while others are waiting to be stormed," said Thomas Carlyle.
View Article and Find Full Text PDFJ Pharmacokinet Pharmacodyn
August 2024
Department of Clinical Pharmacology, Hospital Pharmacy, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Conventional pharmacokinetic (PK) models contain several useful inductive biases guiding model convergence to more realistic predictions of drug concentrations. Implementing similar biases in standard neural networks can be challenging, but might be fundamental for model robustness and predictive performance. In this study, we build on the deep compartment model (DCM) architecture by introducing constraints that guide the model to explore more physiologically realistic solutions.
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