AIMC Topic: Cetuximab

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Machine Learning Models of Early Longitudinal Toxicity Trajectories Predict Cetuximab Concentration and Metastatic Colorectal Cancer Survival in the Canadian Cancer Trials Group/AGITG CO.17/20 Trials.

JCO clinical cancer informatics Apr 11, 2025
PURPOSE: Cetuximab (CET), targeting the epidermal growth factor receptor, is a systemic treatment option for patients with colorectal cancer. One known predictive factor for CET efficacy is the presence of CET-related rash; other putative toxicity fa...
Male Middle Aged Colorectal Neoplasms Neoplasm Metastasis Cetuximab Antineoplastic Combined Chemotherapy Protocols Canada Machine Learning Aged Female Humans
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Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma.

CPT: pharmacometrics & systems pharmacology Dec 25, 2024
We employed a mechanistic learning approach, integrating on-treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post-progression survival (PPS)-the duration from the time of document...
Male Middle Aged Aged Treatment Outcome Squamous Cell Carcinoma of Head and Neck Antineoplastic Combined Chemotherapy Protocols Humans Female Machine Learning Cetuximab Head and Neck Neoplasms
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How to Apply Supervised Machine Learning Tools to MS Imaging Files: Case Study with Cancer Spheroids Undergoing Treatment with the Monoclonal Antibody Cetuximab.

Journal of the American Society for Mass Spectrometry Jun 10, 2020
As the field of mass spectrometry imaging continues to grow, so too do its needs for optimal methods of data analysis. One general need in image analysis is the ability to classify the underlying regions within an image, as healthy or diseased, for e...
Spheroids, Cellular Mass Spectrometry Tumor Cells, Cultured Cetuximab Neoplasms Supervised Machine Learning Humans Image Processing, Computer-Assisted Metabolome
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Deep learning for in vivo near-infrared imaging.

Proceedings of the National Academy of Sciences of the United States of America Jan 5, 2021
Detecting fluorescence in the second near-infrared window (NIR-II) up to ∼1,700 nm has emerged as a novel in vivo imaging modality with high spatial and temporal resolution through millimeter tissue depths. Imaging in the NIR-IIb window (1,500-1,700 ...
Intravital Microscopy Cetuximab Signal-To-Noise Ratio Cell Line, Tumor Lymph Nodes Mice Spectroscopy, Near-Infrared Deep Learning Neoplasms Indoles Neural Networks, Computer Mice, Inbred BALB C Microscopy, Fluorescence Humans Animals Fluorescent Dyes Mice, Nude Molecular Imaging Indocyanine Green
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