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Alcohol Use Disorder (AUD) treatment presents high individual-level heterogeneity, with outcomes ranging from complete abstinence to persistent heavy drinking. This variability-driven by complex behavioral, social, and environmental…

Local estimates of HIV-prevalence provide information that can be used to target interventions and consequently increase the efficiency of the resources. This closer-to-optimal allocation can lead to better health outcomes, including the…

Applications · Statistics 2023-07-18 Enrique M. Saldarriaga

This paper investigates the effect of drug treatment on the standard within-host HIV model, assuming that therapy occurs periodically. It is shown that eradication is possible under these periodic regimes, and we quantitatively characterize…

Other Quantitative Biology · Quantitative Biology 2008-01-30 Patrick De Leenheer

In this paper, a methodology for the automated detection and classification of Tuberculosis(TB) is presented. Tuberculosis is a disease caused by mycobacterium which spreads through the air and attacks low immune bodies easily. Our…

Artificial Intelligence · Computer Science 2011-08-05 Asha. T , S. Natarajan , K. N. B. Murthy

In clinical trials, patients may discontinue treatments prematurely, breaking the initial randomization and, thus, challenging inference. Stakeholders in drug development are generally interested in going beyond the Intention-To-Treat (ITT)…

Alcohol misuse is a key target of public health strategies aimed at reducing cardiovascular risk. The effect of excessive alcohol consumption on blood pressure may vary systematically with individuals' unobserved propensity to engage in…

Methodology · Statistics 2026-03-11 Ashish Patel , Francis J DiTraglia , Stephen Burgess

Frequently, empirical studies are plagued with missing data. When the data are missing not at random, the parameter of interest is not identifiable in general. Without additional assumptions, we can derive bounds of the parameters of…

Methodology · Statistics 2018-09-12 Zhichao Jiang , Peng Ding

In online experiments where the intervention is only exposed, or "triggered", for a small subset of the population, it is critical to use variance reduction techniques to estimate treatment effects with sufficient precision to inform…

Methodology · Statistics 2023-02-01 Alex Deng , Lo-Hua Yuan , Naoya Kanai , Alexandre Salama-Manteau

Combination Antiretroviral Therapy (cART) succeeds to control viral replication in most HIV infected patients. This is normally followed by a reconstitution of the CD4$^+$ T cells pool; however, this does not happen for a substantial…

Applications · Statistics 2016-02-18 Ana Jarne , Daniel Commenges , Mélanie Prague , Yves Levy , Rodolphe Thiébaut

Our aim is to establish a framework where reinforcement learning (RL) of optimizing interventions retrospectively allows us a regulatory compliant pathway to prospective clinical testing of the learned policies in a clinical deployment. We…

Machine Learning · Computer Science 2020-03-20 Luchen Li , Ignacio Albert-Smet , Aldo A. Faisal

There have been increased concerns that the use of statins, one of the most commonly prescribed drugs for treating coronary artery disease, is potentially associated with the increased risk of new-onset type II diabetes (T2D). Nevertheless,…

Applications · Statistics 2022-10-25 Xinzhou Guo , Waverly Wei , Molei Liu , Tianxi Cai , Chong Wu , Jingshen Wang

Background: After a decade of a treatment as prevention (TasP) strategy based on progressive HIV testing scale-up and earlier treatment, a reduction in the estimated number of new infections in men-who-have-sex-with-men (MSM) in England had…

Quantitative Methods · Quantitative Biology 2020-10-05 Francesco Brizzi , Paul J Birrell , Peter Kirwan , Dana Ogaz , Alison E Brown , Valerie C Delpech , O Noel Gill , Daniela De Angelis

Data integration approaches are increasingly used to enhance the efficiency and generalizability of studies. However, a key limitation of these methods is the assumption that outcome measures are identical across datasets -- an assumption…

Facing a global epidemic of new infectious diseases such as COVID-19, non-pharmaceutical interventions (NPIs), which reduce transmission rates without medical actions, are being implemented around the world to mitigate spreads. One of the…

Populations and Evolution · Quantitative Biology 2021-03-04 Naoya Fujiwara , Tomokatsu Onaga , Takayuki Wada , Shouhei Takeuchi , Junji Seto , Tomoki Nakaya , Kazuyuki Aihara

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

The HIV/AIDS pandemic is a global issue that has unequally affected several countries. Due to the complexity of this condition and the human drama it represents to those most affected by it, several fields have contributed to solving or at…

Computers and Society · Computer Science 2025-10-10 Livingstone Njuba , Juan E. Gómez-Morantes , Andrea Herrera , Sonia Camacho

We study within-host HIV dynamics using a three--component nonlinear ordinary differential equation model for healthy CD4$^{+}$ T cells, infected CD4$^{+}$ T cells, and free virus. In addition to the baseline model without treatment, we…

Numerical Analysis · Mathematics 2025-12-16 Abdul Rab

The goal of personalized decision making is to map a unit's characteristics to an action tailored to maximize the expected outcome for that unit. Obtaining high-quality mappings of this type is the goal of the dynamic regime literature. In…

Machine Learning · Computer Science 2018-10-01 Razieh Nabi , Phyllis Kanki , Ilya Shpitser

Safe and effective preventive vaccines have the potential to help stem the HIV epidemic. The efficacy of such vaccines is typically measured in randomized, double-blind phase IIb/III trials and described as a reduction in newly acquired HIV…

Methodology · Statistics 2024-10-10 Yutong Jin , Alex Luedtke , Zoe Moodie , Holly Janes , David Benkeser

Youth experiencing homelessness (YEH) are subject to substantially greater risk of HIV infection, compounded both by their lack of access to stable housing and the disproportionate representation of youth of marginalized racial, ethnic, and…

Social and Information Networks · Computer Science 2020-12-04 Bryan Wilder , Laura Onasch-Vera , Graham Diguiseppi , Robin Petering , Chyna Hill , Amulya Yadav , Eric Rice , Milind Tambe
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