Results 61 to 70 of about 1,968,705 (145)

Modeling the Dynamics of Infectious Diseases in Different Scale-Free Networks with the Same Degree Distribution [PDF]

Advanced Studies in Theoretical Physics, Vol. 7, 2013, no. 16, 759 - 771, 2013
The transmission dynamics of some infectious diseases is related to the contact structure between individuals in a network. We used five algorithms to generate contact networks with different topological structure but with the same scale-free degree distribution.
arxiv  

The latency time of SARS-CoV- 2 Delta variant in infection- and vaccine-naive individuals from Vietnam

BMC Infectious Diseases
Background The latency time (from infection to infectiousness) guides the choice of measures required to control an infectious disease. Estimates of the SARS-CoV- 2 latency time are sparse due to lack of appropriate and representative data.
Vera H. Arntzen, Manh Nguyen Duc, Marta Fiocco, Lan Truong Thi Thanh, Tam Nguyen Hoai Thao, Buu Mai Thanh, Tu-Anh Nguyen, Nhat Le Thanh Hoang, Marc Choisy, Lam Phung Khanh, Nga Le Hong, Ronald B. Geskus   +11 more
doaj   +1 more source

Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup. [PDF]

Nat Rev Nephrol, 2023
Kashani KB, Awdishu L, Bagshaw SM, Barreto EF, Claure-Del Granado R, Evans BJ, Forni LG, Ghosh E, Goldstein SL, Kane-Gill SL, Koola J, Koyner JL, Liu M, Murugan R, Nadkarni GN, Neyra JA, Ninan J, Ostermann M, Pannu N, Rashidi P, Ronco C, Rosner MH, Selby NM, Shickel B, Singh K, Soranno DE, Sutherland SM, Bihorac A, Mehta RL.   +28 more
europepmc   +1 more source

Antiviral activity of pimecrolimus against dengue virus type 2 infection in vitro and in vivo

Scientific Reports
Dengue virus (DENV) infection is a public health concern in several countries and is associated with severe diseases, such as dengue hemorrhagic fever and dengue shock syndrome.
Seong-Ryeol Kim, Jung-Min Lee, Hae Ji Kang, Jungsang Ryou, Sang-Mu Shim   +4 more
doaj   +1 more source

Mathematical Model and Optimal Control of the Transmission Dynamics of Avian Spirochaetosis (TICK Fever) [PDF]

arXiv, 2017
Avian Spirochaetosis is an acute endemic tick-borne disease of birds, caused by Borrelia anserins, a species of Borrelia bacteria. In this paper, we present a compartmental Mathematical model of the disease for the bird population and Tick population. The model so constructed was analyzed using methods from dynamical systems theory.
arxiv  

Optimizing the Method of Cell Separation from Bile of Patients with Cholangiocarcinoma for Flow Cytometry

Gastroenterology Research and Practice, 2019
Analysis of the change of the cells in bile is an evolving research field in biliary pathophysiology and has potential value in diagnosis and therapy. However, laboratory studies of cell in bile across the world are scarce.
Yafei Xia, Yuan Gao, Botao Wang, Hui Zhang, Qi Zhang   +4 more
doaj   +1 more source

Self-Supervised Multiple Instance Learning for Acute Myeloid Leukemia Classification [PDF]

arXiv
Automated disease diagnosis using medical image analysis relies on deep learning, often requiring large labeled datasets for supervised model training. Diseases like Acute Myeloid Leukemia (AML) pose challenges due to scarce and costly annotations on a single-cell level.
arxiv  

Acute sets [PDF]

arXiv, 2017
A set of points in $\mathbb{R}^d$ is acute, if any three points from this set form an acute angle. In this note we construct an acute set in $\mathbb{R}^d$ of size at least $2^{d/2}$.
arxiv  

Acute disease induced cognitive dysfunction in older patients - an unrecognized syndrome. [PDF]

BMC Geriatr, 2022
Wirth R, Klimek CN, Lueg G, Pourhassan M, Danielzik LM, Krüger C, Trampisch US.   +6 more
europepmc   +1 more source

MMIL: A novel algorithm for disease associated cell type discovery [PDF]

arXiv
Single-cell datasets often lack individual cell labels, making it challenging to identify cells associated with disease. To address this, we introduce Mixture Modeling for Multiple Instance Learning (MMIL), an expectation maximization method that enables the training and calibration of cell-level classifiers using patient-level labels. Our approach can
arxiv