Ahmet Acar

This paper uses mathematical modeling to show that targeting cancer-associated fibroblasts can improve treatment efficacy for ER+ breast cancer across different estrogen dosing regimens.

This paper identifies cross resistance between cancer drugs using single-drug exposure data, showing that high cross resistance reduces the effectiveness of switching between CDK4/6 inhibitors.

This study uses patient-derived organoids and single-cell RNA sequencing to investigate resistance mechanisms to pan-KRAS inhibitors in metastatic colorectal cancer.

This paper introduces a single-cell electronic cytometry platform using microwave resonators to detect drug resistance in cancer by measuring biophysical properties, showing its effectiveness in cancer cell lines and patient-derived organoids.

This paper introduces a model-based subclonal reconstruction method that integrates evolutionary theory with machine learning to improve accuracy in tumor subclonal analysis.