We present a computational model of the mechanics of growth of the trophoblast bilayer in a chorionic villous, the basic structure of the placenta. The placental trophoblast is modeled as a collection of elastic neutrally buoyant membranes (mononuclear cytotrophoblasts and multinucleated syncytiotrophoblast) filled with a viscous, incompressible fluid (cytoplasm) with sources of growth located inside cells. We show how this complex, dynamic fluid-based structure can be modeled successfully using the immersed boundary method. The results of our research presented here include simulations of two processes-cell proliferation and cell fusion which both play a crucial role in the growth and development of the trophoblast tissue. We present the computed results of simulations of both processes running independently as well as simultaneously, along with comparisons with clinically obtained results.
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http://dx.doi.org/10.1016/j.bulm.2003.06.001 | DOI Listing |
In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm based on Bidirectional Encoder Representation from Transformers (BERT) to identify privacy information and to verify the feasibility of our method for privacy protection in the Chinese clinical context. We collected and double-annotated 33,017 discharge summaries from 151 medical institutions on a municipal regional health information platform, developed a BERT-based Bidirectional Long Short-Term Memory Model (BiLSTM) and Conditional Random Field (CRF) model, and tested the performance of privacy identification on the dataset. To explore the performance of different substructures of the neural network, we created five additional baseline models and evaluated the impact of different models on performance.
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December 2025
Department of Biosciences and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy.
MicroRNAs (miRNAs) have acquired an increased recognition to unravel the complex molecular mechanisms underlying Diminished Ovarian Reserve (DOR), one of the main responsible for infertility. To investigate the impact of miRNA profiles in granulosa cells and follicular fluid, crucial players in follicle development, this study employed a computational network theory approach to reconstruct potential pathways regulated by miRNAs in granulosa cells and follicular fluid of women suffering from DOR. Available data from published research were collected to create the FGC_MiRNome_MC, a representation of miRNA target genes and their interactions.
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February 2025
U.S. Food and Drug Administration, Silver Spring, Maryland.
The recent U.S. Food and Drug Administration guidance on complex innovative trial designs acknowledges the use of Bayesian strategies to incorporate historical information based on clinical expertise and data similarity.
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January 2025
Clinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai 200433, China.
This study aimed to create a new recombinant virus by modifying the EV-A71 capsid protein, serving as a useful tool and model for studying human Enteroviruses. We developed a new screening method using EV-A71 pseudovirus particles to systematically identify suitable insertion sites and tag types in the VP1 capsid protein. The pseudovirus's infectivity and replication can be assessed by measuring postinfection luciferase signals.
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December 2024
Duke Center for Human Systems Immunology, Duke University, Durham, NC 27701, USA.
Kidney transplant recipients require a lifelong protocol of immunosuppressive therapy to prevent graft rejection. However, these same medications leave them susceptible to opportunistic infections. One pathogen of particular concern is human polyomavirus 1, also known as BK virus (BKPyV).
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