Eban A. Hanna

This study enhances CAR-T cell migration through synthetic cytokine receptors, reducing metastasis in TNBC mouse models.

CODAvision provides a user-friendly interface for rapid, customizable medical image segmentation using deep learning, enabling non-experts to train and evaluate models across diverse imaging modalities.

This paper introduces DeepBIT, a deep learning method for automated cell migration tracking, enabling high-throughput analysis of cancer cell motility under various conditions and identifying new regulators of migration.

This paper introduces a 3D in vitro assay to study immune cell infiltration and cytotoxicity in solid tumors, showing it captures key steps of immune cell interaction with the tumor microenvironment.

This study optimizes velocity receptor (VR) transduction in CAR T cells by evaluating vector modifications and transduction efficiency, finding that VR5IL8 and VR5TNF perform best.

This study shows hyper-migratory CAR T cells reduce ovarian cancer metastasis and improve survival in mice.

This paper develops a 3D multi-compartment assembloid that mimics human endometrial tissue and its menstrual cycle phases, enabling study of compartment-specific hormonal responses and paracrine signaling.

This paper develops velocity receptors (VRs) to enhance CAR T cell migration through solid tumors, improving tumor infiltration and survival.