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Objective: To improve prediction of Chronic Kidney Disease (CKD) progression to End Stage Renal Disease (ESRD) using machine learning (ML) and deep learning (DL) models applied to an integrated clinical and claims dataset of varying…

Quantitative Methods · Quantitative Biology 2025-05-06 Yubo Li , Rema Padman

Analysis of the cell population generally provides average information about viral infection in a host whereas the intracellular model captures the individual cellular responses. The primary goal of this study is to comprehensively analyze…

Dynamical Systems · Mathematics 2025-05-20 Rupchand Sutradhar , D C Dalal

Epileptiform activity (EA) is associated with worse outcomes including increased risk of disability and death. However, the effect of EA on the neurologic outcome is confounded by the feedback between treatment with anti-seizure medications…

Background: We aimed to quantify hepatic vessel volumes across chronic liver disease stages and healthy controls using deep learning-based magnetic resonance imaging (MRI) analysis, and assess correlations with biomarkers for liver…

Aim The pharmacokinetic (PK) properties of cyclosporine (CsA) in renal transplant recipients are patient- and time-dependent. Knowledge of this time-related variability is necessary to maintain or achieve CsA target exposure. Here, we aimed…

Tissues and Organs · Quantitative Biology 2021-03-03 Junjun Mao , Xiaoyan Qiu , Weiwei Qin , Luyang Xu , Ming Zhang , Mingkang Zhong

Instrumental variable (IV) methods are widely used to adjust for the bias in estimating treatment effects caused by unmeasured confounders in observational studies. In this manuscript, we provide empirical and theoretical evidence that the…

Methodology · Statistics 2015-03-04 Ashkan Ertefaie , Dylan Small , James H. Flory , Sean Hennessy

Kidney allograft fibrosis is a marker of chronic kidney disease (CKD) and predicts functional decline, and eventual allograft failure. This study evaluates if spectral diffusion MRI can help detect early development and mild/moderate…

Background: Depression in people with bipolar disorder is a major cause of long-term disability, possibly leading to early mortality and currently, limited safe and effective therapies exist. A double-blinded randomized placebo-controlled…

Quantitative Methods · Quantitative Biology 2020-11-12 Antoine Nzeyimana , Kate EA Saunders , John R Geddes , Patrick E McSharry

Precision medicine involves developing individualized treatment regimes (ITRs) which allow for treatment decisions to be tailored to patient characteristics. Naturally, the identification of the optimal regime, that is, the rule which…

Methodology · Statistics 2025-09-30 Misha Dolmatov , Erica E. M. Moodie , David A. Stephens , Dipankar Bandyopadhyay

Since the early 2000s, evidence has accumulated for a significant differential effect of first-line antiretroviral therapy (ART) regimens on human immunodeficiency virus (HIV) viral load suppression. This finding was replicated in our data…

Applications · Statistics 2017-10-03 Caleb Miles , Ilya Shpitser , Phyllis Kanki , Seema Meloni , Eric Tchetgen Tchetgen

Fecal Microbiota Transplant (FMT) is an FDA approved treatment for recurrent Clostridium difficile infections, and is being explored for other clinical applications, from alleviating digestive and neurological disorders, to priming the…

The optimal moment to start renal replacement therapy in a patient with acute kidney injury (AKI) remains a challenging problem in intensive care nephrology. Multiple randomised controlled trials have tried to answer this question, but…

Applications · Statistics 2022-06-10 Pawel Morzywolek , Johan Steen , Wim Van Biesen , Johan Decruyenaere , Stijn Vansteelandt

Background: Vancomycin, a key antibiotic for severe Gram-positive infections in ICUs, poses a high nephrotoxicity risk. Early prediction of kidney injury in critically ill patients is challenging. This study aimed to develop a machine…

Machine Learning · Computer Science 2025-08-01 Junyi Fan , Li Sun , Shuheng Chen , Yong Si , Minoo Ahmadi , Greg Placencia , Elham Pishgar , Kamiar Alaei , Maryam Pishgar

As part of a program to develop compounds with potential to treat cocaine abuse, eleven (+/-)-threo-methylphenidate (TMP; Ritalin) derivatives were synthesized and tested in rat striatal tissue preparations for inhibitory potency against…

Biomolecules · Quantitative Biology 2014-05-01 Howard M. Deutsch , Xiaocong Michael Ye , Margaret M. Schweri

Objective: The main objective of this study was to assess the diagnostic performances of an alert system integrated into the CPOE/EMR system for renally cleared drug dosing control. The generated alerts were compared with the daily routine…

Artificial Intelligence · Computer Science 2013-05-27 Boussadi Abdelali , Caruba Thibaut , Karras Alexandre , Berdot Sarah , Degoulet Patrice , Durieux Pierre , Sabatier Brigitte

Chronic superficial gastritis (CSG) severely affects quality of life and can progress to worse gastric pathologies. Traditional Chinese Medicine (TCM) effectively treats CSG, as exemplified by Jinhong Tablets (JHT) with known…

Molecular Networks · Quantitative Biology 2025-03-07 Lihao Xiao , Tingyu Zhang , Yun Liu , Chayanis Sutcharitchan , Qingyuan Liu , Xiaoxue Fan , Jian Feng , Huifang Gao , Tong Zhang , Shao Li

As critically ill patients frequently develop anemia or coagulopathy, transfusion of blood products is a frequent intervention in the Intensive Care Units (ICU). However, inappropriate transfusion decisions made by physicians are often…

Machine Learning · Computer Science 2022-06-30 Yuqing Wang , Yun Zhao , Linda Petzold

Hepatitis C virus (HCV) infection is endemic in people who inject drugs (PWID), with prevalence estimates above 60 percent for PWID in the United States. Previous modeling studies suggest that direct acting antiviral (DAA) treatment can…

Populations and Evolution · Quantitative Biology 2019-03-06 Bilal Khan , Ian Duncan , Mohamad Saad , Daniel Schaefer , Ashly Jordan , Daniel Smith , Alan Neaigus , Don Des Jarlais , Holly Hagan , Kirk Dombrowski

Results are reported from a joint analysis of Phase I and Phase II data from the Sudbury Neutrino Observatory. The effective electron kinetic energy threshold used is T_eff=3.5 MeV, the lowest analysis threshold yet achieved with water…

Nuclear Experiment · Physics 2015-03-13 The SNO Collaboration

Background: Predicting the efficacy of combination therapies is a critical challenge in clinical decision-making, particularly for diseases requiring multi-drug regimens. Traditional evidence synthesis methods, such as component network…

Quantitative Methods · Quantitative Biology 2025-03-31 Dipayan Sengupta , Saumya Panda