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We propose a population model for TB-HIV/AIDS coinfection transmission dynamics, which considers antiretroviral therapy for HIV infection and treatments for latent and active tuberculosis. The HIV-only and TB-only sub-models are analyzed…

Optimization and Control · Mathematics 2015-04-16 Cristiana J. Silva , Delfim F. M. Torres

A lack of understanding of interactions and the inability to effectively resolve conflicts continue to impede the progress of Connected Autonomous Vehicles (CAVs) in their interactions with Human-Driven Vehicles (HDVs). To address this…

Multiagent Systems · Computer Science 2025-02-03 Shiyu Fang , Donghao Zhou , Yiming Cui , ChengKai Xu , Peng Hang , Jian Sun

Massive research efforts are now underway to develop a cure for HIV infection, allowing patients to discontinue lifelong combination antiretroviral therapy (ART). New latency-reversing agents (LRAs) may be able to purge the persistent…

Populations and Evolution · Quantitative Biology 2014-08-07 Alison L. Hill , Daniel I. S. Rosenbloom , Feng Fu , Martin A. Nowak , Robert F. Siliciano

Motivation: Drug repurposing is a viable solution for reducing the time and cost associated with drug development. However, thus far, the proposed drug repurposing approaches still need to meet expectations. Therefore, it is crucial to…

Machine Learning · Computer Science 2024-05-21 Ali Gharizadeh , Karim Abbasi , Amin Ghareyazi , Mohammad R. K. Mofrad , Hamid R. Rabiee

When highly active antiretroviral therapy is administered for long periods of time to HIV-1 infected patients, most patients achieve viral loads that are ``undetectable'' by standard assay (i.e., HIV-1 RNA $ < 50$ copies/ml). Yet despite…

Populations and Evolution · Quantitative Biology 2012-11-20 Laura E. Jones , Alan S. Perelson

Within-host models of COVID-19 infection dynamics enable the merits of different forms of antiviral therapy to be assessed in individual patients. A stochastic agent-based model of COVID-19 intracellular dynamics is introduced here, that…

Quantitative Methods · Quantitative Biology 2021-12-22 Farzad Fatehi , Richard J Bingham , Eric C Dykeman , Peter G Stockley , Reidun Twarock

Drug repurposing has attracted increasing attention from both the pharmaceutical industry and the research community. Many existing computational drug repurposing methods rely on preclinical data (e.g., chemical structures, drug targets),…

Quantitative Methods · Quantitative Biology 2020-07-28 Qianlong Wen , Ruoqi Liu , Ping Zhang

In a preceding work [M. Lang, K. Kumar, A simple and general approach for reversible condensation polymerization with cyclization, Macromolecules 54 (2021) 7021], we have introduced a simple recursive scheme that allows to treat stepwise…

Soft Condensed Matter · Physics 2023-02-09 Michael Lang , Kiran Suresh Kumar

The development of potent drugs for the control of viraemia in people living with HIV means that infected people may live a normal, healthy life and offers the prospect of eliminating HIV transmission in the short term and HIV infection in…

Quantitative Methods · Quantitative Biology 2013-08-08 Brian G Williams

Purpose: Segmentation of liver vessels from CT images is indispensable prior to surgical planning and aroused broad range of interests in the medical image analysis community. Due to the complex structure and low contrast background,…

Image and Video Processing · Electrical Eng. & Systems 2021-11-23 Mian Wu , Yinling Qian , Xiangyun Liao , Qiong Wang , Pheng-Ann Heng

The two-trials rule in drug regulation requires statistically significant results from two pivotal trials to demonstrate efficacy. However, it is unclear how the effect estimates from both trials should be combined to quantify the drug…

Methodology · Statistics 2025-07-08 Samuel Pawel , Małgorzata Roos , Leonhard Held

Model binarization has made significant progress in enabling real-time and energy-efficient computation for convolutional neural networks (CNN), offering a potential solution to the deployment challenges faced by Vision Transformers (ViTs)…

Computer Vision and Pattern Recognition · Computer Science 2025-03-07 Tian Gao , Zhiyuan Zhang , Yu Zhang , Huajun Liu , Kaijie Yin , Chengzhong Xu , Hui Kong

A platform trial with a master protocol provides an infrastructure to ethically and efficiently evaluate multiple treatment options in multiple diseases. Given that certain study drugs can enter or exit a platform trial, the randomization…

Methodology · Statistics 2025-07-15 Tianyu Zhan , Jane Zhang , Lei Shu , Yihua Gu

We explore the use of the recently proposed "total nuclear variation" (TNV) as a regularizer for reconstructing multi-channel, spectral CT images. This convex penalty is a natural extension of the total variation (TV) to vector-valued…

Medical Physics · Physics 2015-06-23 David Rigie , Patrick La Riviere

Therapeutic modulation of immune states is central to the treatment of human disease. However, how drugs and drug combinations impact the diverse cell types in the human immune system remains poorly understood at the transcriptome scale.…

In this note, first the Recurrent Variational Approach (RVA) is introduced by using as example a non-trivial spin-model, the spin-1/2 antiferromagnetic two-leg-ladder. Then, a first application of this scheme to the electronic structure of…

Condensed Matter · Physics 2007-05-23 S. Pleutin , E. Jeckelmann , M. A. Martin-Delgado , G. Sierra

Phage therapy is an alternative treatment method for bacterial infections. It has shown particular promise in reducing bacterial load while preventing antibiotic resistance. Here, we develop a mathematical model of a bacterial infection…

Populations and Evolution · Quantitative Biology 2025-12-23 Rohan Shirur , Bryce Morsky

Short peptides with antimicrobial activity have therapeutic potential for treating bacterial infections. Mechanisms of actions for antimicrobial peptides require binding the biological membrane of their target, which often represents a key…

Biomolecules · Quantitative Biology 2021-11-05 Jacob M. Remington , Jonathon B. Ferrell , Jianing Li

The individualized treatment rule (ITR), which recommends an optimal treatment based on individual characteristics, has drawn considerable interest from many areas such as precision medicine, personalized education, and personalized…

Methodology · Statistics 2023-09-28 Qi Xu , Haoda Fu , Annie Qu

Treatment switching in a randomized controlled trial is said to occur when a patient randomized to one treatment arm switches to another treatment arm during follow-up. This can occur at the point of disease progression, whereby patients in…

Methodology · Statistics 2021-03-24 Andrew Ying , Eric J. Tchetgen Tchetgen
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