Search Results - "Hermann, B"
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Mathematical modeling of tumor-immune cell interactions
Published in Journal of theoretical biology (21-05-2019)“…•Reviews recent continuum mathematical modeling of tumor-immune cell interactions.•Models have complemented experiments to quantify and predict these…”
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Prediction of lung cancer patient survival via supervised machine learning classification techniques
Published in International journal of medical informatics (Shannon, Ireland) (01-12-2017)“…•Compared supervised machine learning algorithms to determine predictive correlation.•The models perform well with low to moderate lung cancer patient survival…”
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A computational model for predicting nanoparticle accumulation in tumor vasculature
Published in PloS one (28-02-2013)“…Vascular targeting of malignant tissues with systemically injected nanoparticles (NPs) holds promise in molecular imaging and anti-angiogenic therapies. Here,…”
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4
Pharmacokinetic/Pharmacodynamics Modeling of Drug-Loaded PLGA Nanoparticles Targeting Heterogeneously Vascularized Tumor Tissue
Published in Pharmaceutical research (01-12-2019)“…Purpose Nanoparticle-mediated drug delivery and efficacy for cancer applications depends on systemic as well as local microenvironment characteristics. Here, a…”
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Advancing cancer immunotherapy: from innovative preclinical models to clinical insights
Published in Scientific reports (12-01-2024)“…The rapid expansion of cancer immunology and immunotherapy builds upon the success of early immune checkpoint inhibitors (ICI) and chimeric antigen receptor T…”
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Rising role of 3D-printing in delivery of therapeutics for infectious disease
Published in Journal of controlled release (01-02-2024)“…Modern drug delivery to tackle infectious disease has drawn close to personalizing medicine for specific patient populations. Challenges include…”
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CA125 as a predictor of endometrial cancer lymphovascular space invasion and lymph node metastasis for risk stratification in the preoperative setting
Published in Scientific reports (17-11-2022)“…Endometrial cancer (EC) is the most common malignancy of the female reproductive system. Cancer antigen 125 (CA125) is a serum tumor marker widely reported in…”
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Evaluation of innate and adaptive immune system interactions in the tumor microenvironment via a 3D continuum model
Published in Journal of theoretical biology (21-02-2023)“…•Develops 3D continuum mixture model to simulate multiple immune species in the TME.•Includes a variety of cell species from the innate and adaptive immune…”
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Modeling of Tumor Growth with Input from Patient-Specific Metabolomic Data
Published in Annals of biomedical engineering (01-03-2022)“…Advances in omic technologies have provided insight into cancer progression and treatment response. However, the nonlinear characteristics of cancer growth…”
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10
To compost or not to compost: Carbon and energy footprints of biodegradable materials’ waste treatment
Published in Polymer degradation and stability (01-06-2011)“…Many life cycle assessments of bio-based and biodegradable materials neglect the post-consumer waste treatment phase because of a lack of consistent data, even…”
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11
Application of unsupervised analysis techniques to lung cancer patient data
Published in PloS one (14-09-2017)“…This study applies unsupervised machine learning techniques for classification and clustering to a collection of descriptive variables from 10,442 lung cancer…”
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Producing Bio-Based Bulk Chemicals Using Industrial Biotechnology Saves Energy and Combats Climate Change
Published in Environmental science & technology (15-11-2007)“…The production of bulk chemicals from biomass can make a significant contribution to solving two of the most urgent environmental problems: climate change and…”
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Mathematical modeling of tumor-associated macrophage interactions with the cancer microenvironment
Published in Journal for immunotherapy of cancer (30-01-2018)“…Immuno-oncotherapy has emerged as a promising means to target cancer. In particular, therapeutic manipulation of tumor-associated macrophages holds promise due…”
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14
Evaluation of stacked ensemble model performance to predict clinical outcomes: A COVID-19 study
Published in International journal of medical informatics (Shannon, Ireland) (01-07-2023)“…•Ensemble machine learning (ML) has garnered attention to predict clinical outcomes.•This study evaluates ensemble model combinations for strong predictive…”
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15
Modeling of tumor response to macrophage and T lymphocyte interactions in the liver metastatic microenvironment
Published in Cancer Immunology, Immunotherapy (01-05-2021)“…The dynamic interactions between macrophages and T-lymphocytes in the tumor microenvironment exert both antagonistic and synergistic functions affecting tumor…”
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Multi-objective optimization of tumor response to drug release from vasculature-bound nanoparticles
Published in Scientific reports (19-05-2020)“…The pharmacokinetics of nanoparticle-borne drugs targeting tumors depends critically on nanoparticle design. Empirical approaches to evaluate such designs in…”
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Release kinetics of paclitaxel and cisplatin from two and three layered gold nanoparticles
Published in European journal of pharmaceutics and biopharmaceutics (01-05-2015)“…[Display omitted] •The drug release of Hydrophilic and hydrophobic was assessed from layered Au nanoparticles.•Layers were – thiol/phosphatidylcholine, or both…”
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Pulmonary Fibrosis Diagnosis and Disease Progression Detected Via Hair Metabolome Analysis
Published in Lung (01-10-2024)“…Background Fibrotic interstitial lung disease is often identified late due to non-specific symptoms, inadequate access to specialist care, and clinical…”
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Computational Modeling of Tumor Response to Drug Release from Vasculature-Bound Nanoparticles
Published in PloS one (14-12-2015)“…Systemically injected nanoparticle (NPs) targeting tumor vasculature offer a venue for anti-angiogenic therapies as well as cancer detection and imaging…”
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Multiple breast cancer liver metastases response to macrophage‐delivered nanotherapy evaluated via a 3D continuum model
Published in Immunology (01-06-2023)“…Breast cancer liver metastases (BCLM) are usually unresectable and difficult to treat with systemic chemotherapy. A major reason for chemotherapy failure is…”
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