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Developing and validating a machine learning prognostic model for alerting to imminent deterioration of hospitalized patients with COVID-19

Scientific reports, 2022-11, Vol.12 (1), p.19220-19220, Article 19220

2022

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Mechanistically Coupled PK (MCPK) Model to Describe Enzyme Induction and Occupancy Dependent DDI of Dabrafenib Metabolism

Pharmaceutics, 2022-01, Vol.14 (2), p.310

2022

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Extracellular inhibitors can attenuate tumorigenic Wnt pathway activity in adenomatous polyposis coli mutants: Predictions of a validated mathematical model

PloS one, 2017-07, Vol.12 (7), p.e0179888-e0179888

2017

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Predicting outcomes of prostate cancer immunotherapy by personalized mathematical models

PloS one, 2010-12, Vol.5 (12), p.e15482-e15482

2010

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Predicting response to pembrolizumab in metastatic melanoma by a new personalization algorithm

Journal of translational medicine, 2019-10, Vol.17 (1), p.338-15, Article 338

2019

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Prognosticating the outcome of intensive care in older patients—a narrative review

Annals of intensive care, 2024-06, Vol.14 (1), p.97-12, Article 97

2024

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Dickkopf1 regulates fate decision and drives breast cancer stem cells to differentiation: an experimentally supported mathematical model

PloS one, 2011-09, Vol.6 (9), p.e24225-e24225

2011

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Disruption of a Quorum Sensing mechanism triggers tumorigenesis: a simple discrete model corroborated by experiments in mammary cancer stem cells

Biology direct, 2010-04, Vol.5 (1), p.20-20

2010

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Accelerating the Development of Personalized Cancer Immunotherapy by Integrating Molecular Patients’ Profiles with Dynamic Mathematical Models

Clinical pharmacology and therapeutics, 2020-09, Vol.108 (3), p.515-527

2020

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(late submission poster) The tumor burden rise at radiological disease progression associates with poor overall survival in advanced colorectal cancer

Annals of oncology, 2019-07, Vol.30, p.iv155-iv155

2019

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Employing dynamical computational models for personalizing cancer immunotherapy

Expert opinion on biological therapy, 2016-11, Vol.16 (11), p.1373-1385

2016

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Increase in tumor burden at disease progression as a predictor of survival in advanced NSCLC patients

Journal of clinical oncology, 2018-05, Vol.36 (15_suppl), p.e21114-e21114

2018

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Improving alloreactive CTL immunotherapy for malignant gliomas using a simulation model of their interactive dynamics

Cancer Immunology, Immunotherapy, 2008-03, Vol.57 (3), p.425-439

2008

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Predicting imminent disease progression in advanced colorectal cancer by a machine-learning algorithm

Journal of clinical oncology, 2019-02, Vol.37 (4_suppl), p.645-645

2019

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Reconsidering the Paradigm of Cancer Immunotherapy by Computationally Aided Real-time Personalization

Cancer research (Chicago, Ill.), 2012-05, Vol.72 (9), p.2218-2227

2012

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Strategies for cancer stem cell elimination: Insights from mathematical modeling

Journal of theoretical biology, 2012-04, Vol.298, p.32-41

2012

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A new algorithm predicting imminent disease progression in advanced NSCLC patients by machine-learning integration of five serum biomarkers

Journal of clinical oncology, 2018-05, Vol.36 (15_suppl), p.e21190-e21190

2018

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A new validated mathematical model of the Wnt signalling pathway predicts effective combinational therapy by sFRP and Dkk

Biochemical journal, 2012-05, Vol.444 (1), p.115-125

2012

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CELLULAR IMMUNOTHERAPY FOR HIGH GRADE GLIOMAS: MATHEMATICAL ANALYSIS DERIVING EFFICACIOUS INFUSION RATES BASED ON PATIENT REQUIREMENTS

SIAM journal on applied mathematics, 2010-01, Vol.70 (6), p.1953-1976

2010

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Micro and Nano Projects Based on B.I.Gs: Business Innovation Games

Project Management in the Digital Transformation Era, 2023, p.264-274

2023

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Improving T-cell immunotherapy for melanoma through a mathematically motivated strategy: efficacy in numbers?

Journal of immunotherapy (1997), 2012-02, Vol.35 (2), p.116

2012

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P-401(late submission poster) The tumor burden rise at radiological disease progression associates with poor overall survival in advanced colorectal cancer

Annals of oncology, 2019-07, Vol.30 (Supplement_4)

2019

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Improving alloreactive CTL immunotherapy for malignant gliomas using a simulation model of their interactive dynamics

Cancer Immunology, Immunotherapy, 2008-03, Vol.57 (3), p.441-441

2008

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Clinical Validation of a Physiologically-Based Computer Model of Human Granulopoiesis and Its Use for Improving Cancer Therapy by Doxorubicin and Granulocyte Colony-Stimulating Factor (GCSF)

Blood, 2006-11, Vol.108 (11), p.3848-3848

2006

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Developing Oncology Drugs Using Virtual Patients of Vascular Tumor Diseases

Systems Biology in Drug Discovery and Development, 2011, p.201-237

2011

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Developing and validating a machine learning prognostic model for alerting to imminent deterioration of hospitalized patients with COVID-19

Mechanistically Coupled PK (MCPK) Model to Describe Enzyme Induction and Occupancy Dependent DDI of Dabrafenib Metabolism

Extracellular inhibitors can attenuate tumorigenic Wnt pathway activity in adenomatous polyposis coli mutants: Predictions of a validated mathematical model

Predicting outcomes of prostate cancer immunotherapy by personalized mathematical models

Predicting response to pembrolizumab in metastatic melanoma by a new personalization algorithm

Prognosticating the outcome of intensive care in older patients—a narrative review

Dickkopf1 regulates fate decision and drives breast cancer stem cells to differentiation: an experimentally supported mathematical model

Disruption of a Quorum Sensing mechanism triggers tumorigenesis: a simple discrete model corroborated by experiments in mammary cancer stem cells

Accelerating the Development of Personalized Cancer Immunotherapy by Integrating Molecular Patients’ Profiles with Dynamic Mathematical Models

(late submission poster) The tumor burden rise at radiological disease progression associates with poor overall survival in advanced colorectal cancer

Employing dynamical computational models for personalizing cancer immunotherapy

Increase in tumor burden at disease progression as a predictor of survival in advanced NSCLC patients

Improving alloreactive CTL immunotherapy for malignant gliomas using a simulation model of their interactive dynamics

Predicting imminent disease progression in advanced colorectal cancer by a machine-learning algorithm

Reconsidering the Paradigm of Cancer Immunotherapy by Computationally Aided Real-time Personalization

Strategies for cancer stem cell elimination: Insights from mathematical modeling

A new algorithm predicting imminent disease progression in advanced NSCLC patients by machine-learning integration of five serum biomarkers

A new validated mathematical model of the Wnt signalling pathway predicts effective combinational therapy by sFRP and Dkk

CELLULAR IMMUNOTHERAPY FOR HIGH GRADE GLIOMAS: MATHEMATICAL ANALYSIS DERIVING EFFICACIOUS INFUSION RATES BASED ON PATIENT REQUIREMENTS

Micro and Nano Projects Based on B.I.Gs: Business Innovation Games

Improving T-cell immunotherapy for melanoma through a mathematically motivated strategy: efficacy in numbers?

P-401(late submission poster) The tumor burden rise at radiological disease progression associates with poor overall survival in advanced colorectal cancer

Improving alloreactive CTL immunotherapy for malignant gliomas using a simulation model of their interactive dynamics

Clinical Validation of a Physiologically-Based Computer Model of Human Granulopoiesis and Its Use for Improving Cancer Therapy by Doxorubicin and Granulocyte Colony-Stimulating Factor (GCSF)

Developing Oncology Drugs Using Virtual Patients of Vascular Tumor Diseases

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