Biomarker

Senescent Epithelial Cell Targeting and Microbiota Therapy for IBD

SUMMARY Improved inflammatory bowel disease (IBD) management by identifying and therapeutically targeting senescent colonic epithelial cells, thereby reducing mucosal inflammation through depletion of these pro-inflammatory cells The Unmet Need: Insufficient therapeutic targeting of epithelial components in inflammatory bowel disease Inflammatory bowel disease, including ulcerative colitis and Crohn’s disease, is a chronic… Read More

Conformation-Specific HLA-F Antibodies Enable Next-Generation Immune Profiling

SUMMARY A panel of antibody-based reagents has been developed to distinguish two conformational states of the nonclassical MHC protein HLA-F: an open conformer form and a peptide-loaded form. The Unmet Need: Researchers currently lack reliable reagents that can distinguish biologically distinct conformational states of HLA-F on cells and tissues Current antibodies,… Read More

Amphiregulin Screening And Inhibition Methods For Reducing Metastasis And Enhancing Radiotherapy Efficacy

SUMMARY Methods to improve radiotherapy by blocking the protein Amphiregulin (AREG), which helps tumors resist treatment and spread. Inhibiting AREG enhances anti-tumor effects and reduces metastasis, making radiotherapy more effective   The Unmet Need: Methods to mitigate the underlying biological mechanisms that… Read More

A Biomarker Analysis Platform For Predicting Immunotherapy Response And Survival In Cancer Patients

SUMMARY A method using tumor sequencing data to measure membrane-localized neoantigens, helping predict which cancer patients will benefit from immunotherapy, even those with low tumor mutational burden, improving treatment selection and survival outcomes   The Unmet Need: Improved biomarkers that more accurately… Read More

A Transcriptomic Signature Platform For Predicting Prognosis And Guiding Therapy In Ovarian Cancer Patients

SUMMARY A 10-gene signature based on glucocorticoid receptor activity to predict survival risk in high-grade serous ovarian cancer patients, helping identify those who may benefit from specific therapies and improving personalized treatment strategies   The Unmet Need: Robust molecular… Read More

Glycan Proximity Sequencing (GPS) For Single-Cell Multi-omics Glycoproteomics

SUMMARY TL;DR: Glycan Proximity Sequencing (GPS) is a next-generation single-cell multi-omics assay that measures mRNA expression, extracellular protein abundance, global glycan motifs, and protein-specific glycoforms on individual cells. By combining lectin– and antibody–based proximity ligation with standard single-cell RNA sequencing workflows, GPS creates DNA barcodes that report not only… Read More

RNA Methylation Depletion To Induce Transcriptional Repression For Effective Leukemia Treatment

SUMMARY A novel mechanism for 5-azacytidine-mediated depletion of RNA 5-methylcytosine on chromatin-associated RNA leading to global transcriptional repression through two epigenetic pathways enabling more precise and effective leukemia treatments The Unmet Need: Optimized 5-azacytidine therapeutic strategies and reliable biomarkers… Read More

New Reversible Uridine Modification Chemistry For Labeling and Functionalizing Native Nucleic Acids

SUMMARY A chemical process that enables reversible, covalent RNA modification-highly selective for uridine enabling diverse functional group attachment, facilitating nucleic acid labeling The Unmet Need: Reversible labeling of native RNA in a sequence-independent and membrane-selective manner  … Read More

AI Pipeline For Predicting Oral Cancer Progression

SUMMARY An AI-driven system analyzes histopathology images of oral lesions using deep learning, self-supervised learning, and attention methods to predict cancer progression risk with explainable and uncertainty-quantified outputs that inform treatment decisions. The Unmet Need: Automated and accurate malignancy prediction tools The… Read More

Layered Quantum Diamond Sensors for Selective Detection and Nanoscale Spectroscopy of Biomolecules

SUMMARY This technology is a layered device built on a diamond substrate that uses capture agents to trap specific biological or chemical targets while maintaining excellent nitrogen vacancy (NV) spin coherence enabling biological meaningful spectroscopy on intact biomolecules. Read More

Diagnostic For Predicting Hospital-Acquired Infections And Identifying Causative Organisms

SUMMARY The technology is a fecal microbiome metabolite profile that can predict hospital-acquired infections and identify the causative organisms. This method efficiently measures specific chemical metabolites produced by bacteria in the stool microbiome. It provides actionable information for clinicians, guiding antibiotic treatment and identifying patients who might benefit from microbiome… Read More

Novel Metabolite-Based Diagnostic Technology for Accurate Cavernous Angioma Identification and Risk Assessment

SUMMARY Newly identified plasma metabolites linked to cavernous angioma, a neurovascular disease, using machine learning and multi-omics data to improve diagnostic precision and offer new insights for developing specific biomarkers The problem: Lack of accurate cavernous angioma biomarkers to distinguish high-risk cases… Read More