A data-and model-driven approach for cancer treatment

S Schade, LA Ogilvie, T Kessler, M Schütte, C Wierling… - Der Onkologe, 2019 - Springer
All people are unique and so are their diseases. Our genomes, disease histories, behavior,
and lifestyles are all different; therefore it is not too surprising that people often respond …

A data-and model-driven approach for cancer treatment. German version

S Schade, LA Ogilvie, T Kessler, M Schütte, C Wierling… - Der Onkologe, 2019 - Springer
We are unique and so are our diseases. Our genomes, disease histories, behavior, and
lifestyles are all different. It is not too surprising, therefore, that we often respond differently to …

[HTML][HTML] Knowledge-based computational models

W Verhaegh, A Van de Stolpe - Oncotarget, 2014 - ncbi.nlm.nih.gov
In our recent paper [1], we describe a biologydriven approach to translate cancer genomic
data into clinically actionable information for personalized patient therapy selection. Despite …

Prediction of oncology treatment outcomes

S Cui, I El Naqa - Machine and Deep Learning in Oncology, Medical …, 2022 - Springer
Abstract Treatment outcomes in oncology are determined by complex interactions among
treatment, anatomical, and patient-related variables. A key component of oncology research …

Cancer precision medicine: why more is more and DNA is not enough

M Schütte, LA Ogilvie, DT Rieke, BMH Lange… - Public Health …, 2017 - karger.com
Every tumour is different. They arise in patients with different genomes, from cells with
different epigenetic modifications, and by random processes affecting the genome and/or …

Special Issue on Bioinformatics and Machine Learning for Cancer Biology

S Wan, C Jiang, S Li, Y Fan - Biology, 2022 - mdpi.com
Cancer is a leading cause of death worldwide, claiming millions of lives each year. Cancer
biology is an essential research field to understand how cancer develops, evolves, and …

[HTML][HTML] Big data to knowledge: application of machine learning to predictive modeling of therapeutic response in cancer

S Panja, S Rahem, CJ Chu, A Mitrofanova - Current genomics, 2021 - ncbi.nlm.nih.gov
Background In recent years, the availability of high throughput technologies, establishment
of large molecular patient data repositories, and advancement in computing power and …

On an expanded framework for personalized cancer treatment: Beyond pharmacogenomics

J Devaraj - 2014 - search.proquest.com
Cancer has been a perennial challenge to clinicians and researchers for more than a
century. The existing treatment modalities are" effective" only in the subsets of patient …

Advances in precision medicine: tailoring individualized therapies

KB Matchett, N Lynam-Lennon, RW Watson… - 2017 - mdpi.com
The traditional bench-to-bedside pipeline involves using model systems and patient
samples to provide insights into pathways deregulated in cancer. This discovery reveals …

[HTML][HTML] How to find the right drug for each patient? Advances and challenges in pharmacogenomics

A Kalamara, L Tobalina, J Saez-Rodriguez - Current opinion in systems …, 2018 - Elsevier
Cancer is a highly heterogeneous disease with complex underlying biology. For these
reasons, effective cancer treatment is still a challenge. Nowadays, it is clear that a cancer …