With recent advancements in applications of artificial intelligence in medicine and biology,
predictive modeling has gradually become one of the primary directions in cancer research …

Background Cancer is a highly heterogeneous disease with varying responses to anti-
cancer drugs. Although several attempts have been made to predict the anti-cancer …

Patient-derived 3D cell culture models (PD3D®) developed as a powerful tool for disease
modelling, biomarker and drug discovery. Currently, they are gaining increasing significance …

Background: Determining a patient's response to a specific therapy is a vital step in
developing personalized cancer treatment. Personalized treatment relies on two key …

In the field of pharmacogenomics and precision medicine, gene expression analysis has
become a crucial tool in predicting patient drug response. My contributions to this field come …

The computational prediction of drug responses based on the analysis of multiple types of
genome-wide molecular data is vital for accomplishing the promise of precision medicine in …

Cancer is still a major concern for public health and is a cause of death while being
psychologically the most dreaded disease. Until recent times, the diagnosis of a progressed …

We recently described a methodology that reliably predicted chemotherapeutic response in
multiple independent clinical trials. The method worked by building statistical models from …

BACKGROUND Precision oncology is a clinical approach aimed towards tailoring treatment
strategies for patients based on the genetic profile of each patient's cancer. Available cell …

Physiologically relevant in vitro tumor models are crucial in any research setting from
preclinical drug development to functional precision oncology. Patient-derived 3D cell …