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Strategies for clinical dose optimization of T cell-engaging therapies in oncology

mAbs, 2023-12, Vol.15 (1), p.2181016-2181016

2023

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Scaling up benthic microbial fuel cells using flyback converters

Journal of power sources, 2018-08, Vol.395, p.98-105

2018

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Editorial overview: Cancer: Changing the landscape — new pharmacology steering the course towards improved treatment options in cancer

Current opinion in pharmacology, 2015-08, Vol.23, p.iv-vi

Phipps, Alex N

2015

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Therapeutically-induced stable disease in oncology early clinical trials

PloS one, 2020-05, Vol.15 (5), p.e0233882-e0233882

2020

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Acoustic energy harvesting using an electromechanical Helmholtz resonator

The Journal of the Acoustical Society of America, 2008-04, Vol.123 (4), p.1983-1990

2008

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The potential and pitfalls of artificial intelligence in clinical pharmacology

CPT: pharmacometrics and systems pharmacology, 2023-03, Vol.12 (3), p.279-284

2023

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Comparison of different algorithms for predicting clinical drug-drug interactions, based on the use of CYP3A4 in vitro data: predictions of compounds as precipitants of interaction

Drug metabolism and disposition, 2009-08, Vol.37 (8), p.1658-1666

2009

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Models and Machines: How Deep Learning Will Take Clinical Pharmacology to the Next Level

CPT: pharmacometrics and systems pharmacology, 2019-03, Vol.8 (3), p.131-134

2019

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Predicted limited redistribution of T cells to secondary lymphoid tissue correlates with increased risk of haematological malignancies in asplenic patients

Scientific reports, 2021-08, Vol.11 (1), p.16394-16394, Article 16394

2021

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A mechanistic PK/PD model of AZD0171 (anti‐LIF) to support Phase II dose selection

CPT: pharmacometrics and systems pharmacology, 2024-10, Vol.13 (10), p.1670-1681

2024

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Best Practices to Maximize the Use and Reuse of Quantitative and Systems Pharmacology Models: Recommendations From the United Kingdom Quantitative and Systems Pharmacology Network

CPT: pharmacometrics and systems pharmacology, 2019-05, Vol.8 (5), p.259-272

2019

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Application of CYP3A4 in vitro data to predict clinical drug–drug interactions; predictions of compounds as objects of interaction

British journal of clinical pharmacology, 2008-05, Vol.65 (5), p.680-692

2008

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Assessing Trends in Cytokine–CYP Drug Interactions and Relevance to Drug Dosing

Drug metabolism and disposition, 2024-11, Vol.52 (11), p.1196-1200

2024

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Clinical Pharmacology Strategies for Bispecific Antibody Development: Learnings from FDA‐Approved Bispecific Antibodies in Oncology

Clinical pharmacology and therapeutics, 2024-08, Vol.116 (2), p.315-327

2024

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Pregabalin Assay in a Patient with Widespread Neuropathic Pain and Late Onset Gluten Intolerance

Pain medicine (Malden, Mass.), 2011-08, Vol.12 (8), p.1262-1266

2011

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Evaluation of ventricular arrhythmias in early clinical pharmacology trials and potential consequences for later development

The American heart journal, 2010-05, Vol.159 (5), p.716-729

2010

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Prediction of the Optimal Dosing Regimen Using a Mathematical Model of Tumor Uptake for Immunocytokine-Based Cancer Immunotherapy

Clinical cancer research, 2018-07, Vol.24 (14), p.3325-3333

2018

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The role of clinical pharmacology across novel treatment modalities

Clinical pharmacology and therapeutics, 2020-09, Vol.108 (3), p.413-415

2020

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Case report of a fatal rectal haemorrhage in a person with severe haemophilia A receiving emicizumab and high‐dose bypassing agents in the HAVEN 1 study

Haemophilia : the official journal of the World Federation of Hemophilia, 2020-11, Vol.26 (6), p.e340-e342

2020

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System Modeling of Piezoelectric Energy Harvesters

IEEE transactions on power electronics, 2012-02, Vol.27 (2), p.790-802

2012

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Model‐Based Assessments of CYP‐Mediated Drug–Drug Interaction Risk of Alectinib: Physiologically Based Pharmacokinetic Modeling Supported Clinical Development

Clinical pharmacology and therapeutics, 2018-09, Vol.104 (3), p.505-514

2018

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Abstract 690: Optimization of biopsy scheduling in clinical studies of T cell bispecifics through an integrated modeling and simulation, digital pathology and machine learning approach

Cancer research (Chicago, Ill.), 2019-07, Vol.79 (13_Supplement), p.690-690

2019

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Entrectinib dose confirmation in pediatric oncology patients: pharmacokinetic considerations

Cancer chemotherapy and pharmacology, 2023-03, Vol.91 (3), p.239-246

2023

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Population Pharmacokinetics and Exposure-Response Analysis for the CTLA-4 Inhibitor Tremelimumab in Metastatic NSCLC Patients in the Phase III POSEIDON Study

Clinical pharmacology and therapeutics, 2023-12, Vol.114 (6), p.1375-1386

2023

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From waterfall plots to spaghetti plots in early oncology clinical development

Pharmaceutical statistics : the journal of the pharmaceutical industry, 2019-10, Vol.18 (5), p.526-532

2019

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Strategies for clinical dose optimization of T cell-engaging therapies in oncology

Scaling up benthic microbial fuel cells using flyback converters

Editorial overview: Cancer: Changing the landscape — new pharmacology steering the course towards improved treatment options in cancer

Therapeutically-induced stable disease in oncology early clinical trials

Acoustic energy harvesting using an electromechanical Helmholtz resonator

The potential and pitfalls of artificial intelligence in clinical pharmacology

Comparison of different algorithms for predicting clinical drug-drug interactions, based on the use of CYP3A4 in vitro data: predictions of compounds as precipitants of interaction

Models and Machines: How Deep Learning Will Take Clinical Pharmacology to the Next Level

Predicted limited redistribution of T cells to secondary lymphoid tissue correlates with increased risk of haematological malignancies in asplenic patients

A mechanistic PK/PD model of AZD0171 (anti‐LIF) to support Phase II dose selection

Best Practices to Maximize the Use and Reuse of Quantitative and Systems Pharmacology Models: Recommendations From the United Kingdom Quantitative and Systems Pharmacology Network

Application of CYP3A4 in vitro data to predict clinical drug–drug interactions; predictions of compounds as objects of interaction

Assessing Trends in Cytokine–CYP Drug Interactions and Relevance to Drug Dosing

Clinical Pharmacology Strategies for Bispecific Antibody Development: Learnings from FDA‐Approved Bispecific Antibodies in Oncology

Pregabalin Assay in a Patient with Widespread Neuropathic Pain and Late Onset Gluten Intolerance

Evaluation of ventricular arrhythmias in early clinical pharmacology trials and potential consequences for later development

Prediction of the Optimal Dosing Regimen Using a Mathematical Model of Tumor Uptake for Immunocytokine-Based Cancer Immunotherapy

The role of clinical pharmacology across novel treatment modalities

Case report of a fatal rectal haemorrhage in a person with severe haemophilia A receiving emicizumab and high‐dose bypassing agents in the HAVEN 1 study

System Modeling of Piezoelectric Energy Harvesters

Model‐Based Assessments of CYP‐Mediated Drug–Drug Interaction Risk of Alectinib: Physiologically Based Pharmacokinetic Modeling Supported Clinical Development

Abstract 690: Optimization of biopsy scheduling in clinical studies of T cell bispecifics through an integrated modeling and simulation, digital pathology and machine learning approach

Entrectinib dose confirmation in pediatric oncology patients: pharmacokinetic considerations

Population Pharmacokinetics and Exposure-Response Analysis for the CTLA-4 Inhibitor Tremelimumab in Metastatic NSCLC Patients in the Phase III POSEIDON Study

From waterfall plots to spaghetti plots in early oncology clinical development

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