Vasco Queiroga

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

The paper uses 3D imaging to analyze vascular and nervous systems in embryos, finding shared structural principles but distinct architectures shaped by biophysical constraints.

This study uses 3D multi-omic imaging to identify biomarkers of the pre-metastatic niche in lung cancer, revealing myeloid and senescent cell signatures associated with metastasis risk.

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.

The paper presents a 3D multi-omic framework to detect and characterize ovarian cancer precursors in fallopian tubes, identifying TP53 mutations in microscopic lesions.

This study shows that 3D assessments are necessary to accurately determine tissue composition and neoplastic content, as 2D methods under-sample spatial heterogeneity.

The paper integrates 3D imaging with nuclear segmentation to analyze nuclear morphology in human tissue, revealing spatial patterns and interactions in disease progression.

This paper uses a generative AI model to improve 3D tissue imaging by interpolating and restoring images, enhancing resolution and reducing artifacts across multiple modalities and species.