[HTML][HTML] CancerModels. Org–an open global research platform for patient-derived cancer models
Z Perova, M Martinez, T Mandloi, MR Almanza… - network.febs.org
Patient-derived cancer models (PDCMs) are created from tumor samples belonging to
individual patients, to mimic as close as possible the underlying characteristics of the …
individual patients, to mimic as close as possible the underlying characteristics of the …
Model-based cancer therapy selection by linking tumor vulnerabilities to drug mechanism
Selection of the treatments most likely to combat a patient's tumor is a central aim of
precision oncology. We are currently developing a functional precision oncology program at …
precision oncology. We are currently developing a functional precision oncology program at …
Abstract C068: Construction of preclinical study model for optimal anticancer drug selection using PDX model in pancreatic cancer
R Tanaka, K Kimura, N Tani, S Eguchi, K Kageyama… - Cancer Research, 2024 - AACR
Background: Translational research using the patient-derived xenograft (PDX) model is
progressing rapidly and is also becoming widespread in pancreatic cancer research. Since …
progressing rapidly and is also becoming widespread in pancreatic cancer research. Since …
Systematic evaluation and comparison of drug response prediction models: a case study of prediction generalization across cell lines datasets
Predictive modeling holds great promise for improving personalized cancer treatment and
efficiency of drug development. In recent years, deep learning (DL) has been extensively …
efficiency of drug development. In recent years, deep learning (DL) has been extensively …
[引用][C] A new computational framework for predicting cancer drug response
A systematic analysis of genomics-based modeling approaches for prediction of drug response to cytotoxic chemotherapies
Background The availability and generation of large amounts of genomic data has led to the
development of a new paradigm in cancer treatment emphasizing a precision approach at …
development of a new paradigm in cancer treatment emphasizing a precision approach at …
Prediction of oncology treatment outcomes
Abstract Treatment outcomes in oncology are determined by complex interactions among
treatment, anatomical, and patient-related variables. A key component of oncology research …
treatment, anatomical, and patient-related variables. A key component of oncology research …
Drug response prediction in patient-derived xenografts with data augmentation and multimodal deep learning.
e13572 Background: Prediction of drug response is a critical research area in precision
oncology and has been previously explored with large drug screening studies of cancer cell …
oncology and has been previously explored with large drug screening studies of cancer cell …
Methodological challenges in translational drug response modeling in cancer: a systematic analysis with FORESEE
LK Schätzle, A Hadizadeh Esfahani… - PLoS Computational …, 2020 - journals.plos.org
Translational models directly relating drug response specific processes that can be
observed in vitro to their in vivo role in cancer patients constitute a crucial part of the …
observed in vitro to their in vivo role in cancer patients constitute a crucial part of the …
[PDF][PDF] Designing DNA-based predictors of drug response using the signal joint with gene expression
SMC Mourragui, M Loog, M van Nee - scholar.archive.org
Motivation: Anti-cancer drugs may elicit resistance or sensitivity through mechanisms which
involve several genomic layers. Nevertheless, we have demonstrated that gene expression …
involve several genomic layers. Nevertheless, we have demonstrated that gene expression …