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  1. Artikel ; Online: An introduction to causal inference for pharmacometricians.

    Rogers, James A / Maas, Hugo / Pitarch, Alejandro Pérez

    CPT: pharmacometrics & systems pharmacology

    2022  Band 12, Heft 1, Seite(n) 27–40

    Abstract: As formal causal inference begins to play a greater role in disciplines that intersect with pharmacometrics, such as biostatistics, epidemiology, and artificial intelligence/machine learning, pharmacometricians may increasingly benefit from a basic ... ...

    Abstract As formal causal inference begins to play a greater role in disciplines that intersect with pharmacometrics, such as biostatistics, epidemiology, and artificial intelligence/machine learning, pharmacometricians may increasingly benefit from a basic fluency in foundational causal inference concepts. This tutorial seeks to orient pharmacometricians to three such fundamental concepts: potential outcomes, g-formula, and directed acyclic graphs (DAGs).
    Mesh-Begriff(e) Humans ; Artificial Intelligence ; Confounding Factors, Epidemiologic ; Data Interpretation, Statistical ; Biometry ; Causality
    Sprache Englisch
    Erscheinungsdatum 2022-12-08
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2697010-7
    ISSN 2163-8306 ; 2163-8306
    ISSN (online) 2163-8306
    ISSN 2163-8306
    DOI 10.1002/psp4.12894
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: 89

    Miedema, Iris H C / Huisman, Marc C / Zwezerijnen, Gerben J C / Grempler, Rolf / Pitarch, Alejandro Perez / Thiele, Andrea / Hesse, Raphael / Elgadi, Mabrouk / Peltzer, Alexander / Vugts, Danielle J / van Dongen, Guus A M S / de Gruijl, Tanja D / Menke-van der Houven van Oordt, C Willemien / Bahce, Idris

    European journal of nuclear medicine and molecular imaging

    2023  Band 50, Heft 7, Seite(n) 2068–2080

    Abstract: Purpose: Although lymphocyte activation gene-3 (LAG-3) directed therapies demonstrate promising clinical anti-cancer activity, only a subset of patients seems to benefit and predictive biomarkers are lacking. Here, we explored the potential use of the ... ...

    Abstract Purpose: Although lymphocyte activation gene-3 (LAG-3) directed therapies demonstrate promising clinical anti-cancer activity, only a subset of patients seems to benefit and predictive biomarkers are lacking. Here, we explored the potential use of the anti-LAG-3 antibody tracer [
    Methods: Patients with head and neck (N = 2) or lung cancer (N = 4) were included in an imaging substudy of a phase 1 trial with BI 754091 (anti-PD-1) and BI 754111 (anti-LAG-3). After baseline tumor biopsy and [
    Results: Tracer uptake in tumors was clearly visible at the 4-mg mass dose (tumor-to-plasma ratio 1.63 [IQR 0.37-2.89]) and could be saturated by increasing mass doses (44 mg: 0.67 [IQR 0.50-0.85]; 604 mg: 0.56 [IQR 0.42-0.75]), demonstrating target specificity. Tumor uptake correlated to immune cell-derived RNA signatures.
    Conclusions: [
    Trial registration: ClinicalTrials.gov , NCT03780725. Registered 19 December 2018.
    Mesh-Begriff(e) Humans ; Radioisotopes ; Squamous Cell Carcinoma of Head and Neck ; Positron-Emission Tomography/methods ; Carcinoma, Non-Small-Cell Lung/diagnostic imaging ; Lung Neoplasms/diagnostic imaging ; Head and Neck Neoplasms/diagnostic imaging ; Zirconium ; Cell Line, Tumor
    Chemische Substanzen Radioisotopes ; Zirconium (C6V6S92N3C)
    Sprache Englisch
    Erscheinungsdatum 2023-03-02
    Erscheinungsland Germany
    Dokumenttyp Journal Article
    ZDB-ID 8236-3
    ISSN 1619-7089 ; 0340-6997 ; 1619-7070
    ISSN (online) 1619-7089
    ISSN 0340-6997 ; 1619-7070
    DOI 10.1007/s00259-023-06164-w
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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