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Dynamic balance of pro‐ and anti‐inflammatory signals controls disease and limits pathology

Immunological reviews, 2018-09, Vol.285 (1), p.147-167

2018

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Mathematical modeling of primary succession of murine intestinal microbiota

Proceedings of the National Academy of Sciences - PNAS, 2014-01, Vol.111 (1), p.439-444

2014

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Macrophage polarization drives granuloma outcome during Mycobacterium tuberculosis infection

Infection and immunity, 2015-01, Vol.83 (1), p.324-338

2015

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Microenvironments in tuberculous granulomas are delineated by distinct populations of macrophage subsets and expression of nitric oxide synthase and arginase isoforms

The Journal of immunology (1950), 2013-07, Vol.191 (2), p.773-784

2013

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Variability in tuberculosis granuloma T cell responses exists, but a balance of pro- and anti-inflammatory cytokines is associated with sterilization

PLoS pathogens, 2015-01, Vol.11 (1), p.e1004603-e1004603

2015

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Predictive Big Data Analytics using the UK Biobank Data

Scientific reports, 2019-04, Vol.9 (1), p.6012-6012, Article 6012

2019

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DataSifter II: Partially synthetic data sharing of sensitive information containing time-varying correlated observations

Journal of algorithms & computational technology, 2022-01, Vol.16

2022

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Intracellular bacillary burden reflects a burst size for Mycobacterium tuberculosis in vivo

PLoS pathogens, 2013-02, Vol.9 (2), p.e1003190-e1003190

2013

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Controlled feature selection and compressive big data analytics: Applications to biomedical and health studies

PloS one, 2018-08, Vol.13 (8), p.e0202674-e0202674

2018

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Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets

PloS one, 2020-08, Vol.15 (8), p.e0228520

2020

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Red blood cell deformation in microconfined flow

Soft matter, 2009, Vol.5 (19), p.3736

2009

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Computational and Empirical Studies Predict Mycobacterium tuberculosis-Specific T Cells as a Biomarker for Infection Outcome

PLoS computational biology, 2016-04, Vol.12 (4), p.e1004804-e1004804

2016

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Classifying migraine using PET compressive big data analytics of brain's μ -opioid and D2/D3 dopamine neurotransmission

Frontiers in pharmacology, 2023-06, Vol.14, p.1173596

2023

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A Multi-Compartment Hybrid Computational Model Predicts Key Roles for Dendritic Cells in Tuberculosis Infection

Computation, 2016, Vol.4 (4), p.39-39

2016

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Tumor Necrosis Factor Blockade in Chronic Murine Tuberculosis Enhances Granulomatous Inflammation and Disorganizes Granulomas in the Lungs

Infection and Immunity, 2008-03, Vol.76 (3), p.916-926

2008

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A multifaceted approach to modeling the immune response in tuberculosis

Wiley interdisciplinary reviews. Mechanisms of disease, 2011-07, Vol.3 (4), p.479-489

2011

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The Role of Dimensionality in Understanding Granuloma Formation

Computation, 2018-12, Vol.6 (4), p.58

2018

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Differences in reactivation of tuberculosis induced from anti-TNF treatments are based on bioavailability in granulomatous tissue

PLoS computational biology, 2007-10, Vol.3 (10), p.1909-1924

2007

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High-throughput screening-compatible single-step protocol to differentiate embryonic stem cells in neurons

Stem cells and development, 2008-06, Vol.17 (3), p.573-584

2008

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A methodology for performing global uncertainty and sensitivity analysis in systems biology

Journal of theoretical biology, 2008-09, Vol.254 (1), p.178-196

2008

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Dynamics of a New Strain of the H1N1 Influenza A Virus Incorporating the Effects of Repetitive Contacts

Computational and mathematical methods in medicine, 2014-01, Vol.2014 (2014), p.1-9

2014

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A hybrid multi-compartment model of granuloma formation and T cell priming in Tuberculosis

Journal of theoretical biology, 2011-07, Vol.280 (1), p.50-62

2011

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Break-up of a Newtonian drop in a viscoelastic matrix under simple shear flow

Rheologica acta, 2004-11, Vol.43 (5), p.449-456

2004

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Mathematical and computational approaches in understanding the immunobiology of granulomatous diseases

Current opinion in systems biology, 2018-12, Vol.12, p.1-11

2018

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Drop deformation in microconfined shear flow

Physical review letters, 2006-08, Vol.97 (5), p.054502-054502, Article 054502

2006

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Dynamic balance of pro‐ and anti‐inflammatory signals controls disease and limits pathology

Mathematical modeling of primary succession of murine intestinal microbiota

Macrophage polarization drives granuloma outcome during Mycobacterium tuberculosis infection

Microenvironments in tuberculous granulomas are delineated by distinct populations of macrophage subsets and expression of nitric oxide synthase and arginase isoforms

Variability in tuberculosis granuloma T cell responses exists, but a balance of pro- and anti-inflammatory cytokines is associated with sterilization

Predictive Big Data Analytics using the UK Biobank Data

DataSifter II: Partially synthetic data sharing of sensitive information containing time-varying correlated observations

Intracellular bacillary burden reflects a burst size for Mycobacterium tuberculosis in vivo

Controlled feature selection and compressive big data analytics: Applications to biomedical and health studies

Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets

Red blood cell deformation in microconfined flow

Computational and Empirical Studies Predict Mycobacterium tuberculosis-Specific T Cells as a Biomarker for Infection Outcome

Classifying migraine using PET compressive big data analytics of brain's μ -opioid and D2/D3 dopamine neurotransmission

A Multi-Compartment Hybrid Computational Model Predicts Key Roles for Dendritic Cells in Tuberculosis Infection

Tumor Necrosis Factor Blockade in Chronic Murine Tuberculosis Enhances Granulomatous Inflammation and Disorganizes Granulomas in the Lungs

A multifaceted approach to modeling the immune response in tuberculosis

The Role of Dimensionality in Understanding Granuloma Formation

Differences in reactivation of tuberculosis induced from anti-TNF treatments are based on bioavailability in granulomatous tissue

High-throughput screening-compatible single-step protocol to differentiate embryonic stem cells in neurons

A methodology for performing global uncertainty and sensitivity analysis in systems biology

Dynamics of a New Strain of the H1N1 Influenza A Virus Incorporating the Effects of Repetitive Contacts

A hybrid multi-compartment model of granuloma formation and T cell priming in Tuberculosis

Break-up of a Newtonian drop in a viscoelastic matrix under simple shear flow

Mathematical and computational approaches in understanding the immunobiology of granulomatous diseases

Drop deformation in microconfined shear flow

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