Engineering, medicine, and biology group @UDelaware. mechanics of morphogenesis | lung & placental development | maternal-fetal health | regenerative medicine
Excited to enter into the AI and machine learning arena! Check out our preprint, led by @Logan_Hallee, showcasing a robust protein-protein interaction (PPI) predictor powered by a large language model. We call it SYNTERACT. biorxiv.org/content/10.1101/…
A thread (1/5)
We’re excited to share our latest paper! BEADS is a semi-automated workflow for 3D endothelial angiogenesis analysis, designed to streamline image analysis while keeping researchers in control through interactive correction.
sciencedirect.com/science/ar…
Cells don’t experience mechanical cues one at a time, so neither should our models. Our new, easy-to-use flow chamber reveals synergistic effects of ECM stiffness and shear stress on epithelial cytoskeletal organization.
link.springer.com/article/10…
Check out our newest preprint where we walk through a workflow for harvesting, sectioning, and staining murine lymph nodes for high-fidelity 3D reconstruction!
biorxiv.org/content/10.1101/…
Thrilled to share our new paper in Advanced Healthcare Materials!
We developed a modular, reusable, perfusion-ready OOC system that lowers the barrier to entry for microphysiological studies. Excited to see this accessible design enable cool science!
🔗 doi.org/10.1002/adhm.2025022…
Congratulations to the @GleghornLab on this excellent feature! 🎉
Instead of experimenting on animals, Jason Gleghorn's group is using microfluidic systems. Because the platform doesn’t require specialized equipment and is compatible with tools already available in standard biology labs, research teams across four continents are using these chips to study women's health and more.
In Gleghorn's @UDelaware boot camps, researchers will learn how to use these devices and can take the technology back to their own labs.
@UDResearch
Article by @krobUD in @UDaily:
udel.edu/udaily/2025/october…
ALT From the linked article, a photo of Jason Gleghorn on the left and images of his microfluidic systems on the right. The caption in the article reads, “University of Delaware biomedical engineer Jason Gleghorn is developing cutting-edge organ-on-a-chip models, little bigger than two postage stamps, that offer a faster, inexpensive way to study disease and develop pharmaceutical targets. As an Innovation Ambassador at UD, Gleghorn is eager to share what he’s learned about invention and entrepreneurship with others.” Credit: UDaily’s Jeffrey C. Chase and Kathy F. Atkinson.
A modular microphysiological platform for studying the cervicovaginal epithelium!
We introduce an accessible, PDMS-free organ-on-chip system validated with microbiota, Chlamydia, Gonorrhea, and neutrophils.
📄
#microphysiology#WomensHealth#Organoids#InfectiousDisease
A Microphysiologic Model of the Cervical Epithelium Recapitulates Microbial, Immunologic, and Pathogenic Properties of Sexually ... biorxiv.org/content/10.1101/…#biorxiv_bioeng
Introducing our latest in @JControlledRel:
We chart a translational roadmap to advance therapeutic nanoparticle safety in pregnancy—leveraging environmental nanotoxicology to study placental and fetal exposure.
#Nanomedicine#MFH#Nanotoxicology
Check out our latest article published in @AJPLung on how the nitrofen/bisdiamine murine model of CDH has a pulmonary hypertension vascular phenotype consistent with human CDH! Excited to share this work by @crgonyea@udbme
Let's check out this amazing #ArticleinPress from @udbme! The nitrofen/bisdiamine murine model of congenital diaphragmatic #hernia has a pulmonary #hypertension vascular phenotype consistent with human #CDH (Cailin R. Gonyea et al.):
ow.ly/CJQJ50WbyW3
A straightforward cell culture insert model to incorporate biochemical and biophysical stromal properties into transplacental transport studies biorxiv.org/cgi/content/shor…#bioRxiv
1/6 New preprint alert!🚨
Advancements in protein language models have implications in fundamental biology studies and therapeutic design. @Logan_Hallee's work explores alternate vocabularies beyond amino acids, such as codons and their extended potential. biorxiv.org/content/10.1101/…
5/6 Our findings have important implications. This work calls for building a codon-based protein foundation model at a large scale for new SOTA function and structure prediction. Additionally, it is crucial to include high-quality coding region data with repositories like UniProt