At our lab, we specialize in designing 3D models of healthy and diseased gynecological tissues such as the cervix, endometrium, and vaginal epithelium. These models closely mimic the real tissues found in the body, allowing us to gain deeper insights into cell behavior within both healthy and diseased environments.
Our mission is to improve treatments and outcomes for gynecological conditions. By using these tissue models, we aim to understand disease progression, identify new therapeutic targets, and enhance the selection of existing therapies. These models are designed for high-speed testing, utilizing advanced equipment, and supported by computer vision technology to automatically analyze cellular characteristics.
We welcome partnerships and collaborations with those passionate about drug discovery, women's health, and cancer research. Together, we can make a meaningful impact on the future of gynecological healthcare. Reach out to us if you share these interests!
Using a multilayer multicellular design, we have developed 3D models of gynecological epithelial tissue that replicate the structure and behavior of real tissues. These models allow us to gain deeper insights into gynecological diseases and cancers.
Our research centers around the matrisome—an essential group of proteins impacting disease progression, including gynecological cancers and endometriosis. Utilizing machine learning techniques and publicly available gene expression data, we've identified key matrisome genes that differentiate healthy and diseased tissues and provide insights into disease stages and patient outcomes. This valuable information not only improves diagnostics but also guides the development of our 3D models of disease.
We harness Design of Experiments (DOE) statistical optimization to fine-tune hydrogel formulations for our 3D models. This powerful tool enables us to assess the impact of ECM components on cell responses like invasion and microvessel formation. By drastically reducing the number of experiments needed, DOE streamlines our process, making biomaterial engineering more efficient and targeted.
In collaboration with the Semprini and Rochefort Labs in Chemical, Biological, and Environmental Engineering, we are employing Design of Experiments (DOE) to engineer hydrogels that immobilize bacteria for enhanced bioremediation. This innovative approach aims to maximize the bioremediation potential of bacteria, contributing to more effective and sustainable environmental cleanup efforts.