Software Longitudinal Geo-Coded U.S. Phonebook Data Platform This technology delivers precise historical insights and enhanced data accessibility through a digitized, geocoded, and longitudinally linked dataset of U.S. businesses and households from… Reference ID: 27-T-033
Medical Devices Software AI-Driven Medical Imaging System for Health Disparity Detection Medical imaging artificial intelligence probe offering enhanced detection, continuous monitoring, and quantitative analysis of health disparities across populations by leveraging large datasets and advanced… Reference ID: 24-T-199
Education Software iCAT: AI-Driven GIS Platform for Analyzing Health Disparities The Intelligent Catchment Analysis Tool (iCAT) enhances health outcomes and resource allocation in underserved communities by employing artificial intelligence and geographic information system analytics… Reference ID: 25-T-084
Diagnostics Software Slide-Level Uncertainty Quantification For Deep Learning Predictions In Digital Histopathology. The technology improves diagnostic accuracy in digital histopathology by providing slide-level uncertainty quantification for deep learning predictions, enabling more reliable and actionable clinical decision-making… Reference ID: 23-T-021
Diagnostics Software Zero-burden Risk Assessment (ZeBRA) Platform for Point-in-care Universal Screening of Complex Disorders ZeBRA is a software-based platform for universal, point-of-care risk screening that uses existing EHR data to identify patients at elevated risk for complex disorders… Reference ID: 26-T-216
Software Embedding-Space Harmonization for Robust Foundation Model Deployment University of Chicago researchers have developed FEATMAP, a computational framework that improves the reliability and interoperability of foundation-model embeddings by reducing unwanted technical or… Reference ID: 26-T-208 Desired Partnership: Co-development, Licensing IP: Patent Pending
Hardware Quantum Sciences Software AI-Enhanced Single-Photon Quantum Detectors This technology uses advanced machine learning algorithms to extract significantly more information from single-photon detector signals than conventional approaches. By analyzing full detector waveforms… Reference ID: 24-T-206 Desired Partnership: Co-development, Licensing IP: Patent Pending
Diagnostics Software Computational Framework For Unraveling Single-Cell Transcriptional Dynamics Novel system using statistical topic modeling and a bursty transcriptional model to analyze spliced and unspliced RNA, revealing precise cell state transitions and dynamics… Reference ID: 22-T-208 Desired Partnership: Co-development, Licensing IP: Patent Pending
Diagnostics Software AI Pipeline For Predicting Oral Cancer Progression 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… Interests: Bioinformatics, Biomarker, Pathology, Point-of-Care Reference ID: 24-T-144 Desired Partnership: Co-development, Licensing IP: Patent Pending
Diagnostics Software Deep Learning Uncertainty Quantification System For Reliable Cancer Histopathology Diagnosis Deep learning and uncertainty estimation (via Monte Carlo dropout and cross-validation) to classify digital pathology images by confidence, improving reliability in cancer diagnostics and… Interests: Pathology Reference ID: 24-T-142 Desired Partnership: Co-development, Licensing IP: Patent Pending
Diagnostics Software Deep Learning-Based Diagnostic System For Differentiating Thyroid Tumor Genetic And Histologic Profiles A deep learning system analyzes high-resolution pathology images to predict thyroid tumor subtypes and gene expression patterns, helping distinguish less aggressive cancers from those… Interests: Pathology Reference ID: 24-T-091 Desired Partnership: Co-development, Licensing IP: Patent Pending
Medical Devices Software DeMaND (Decoding using Manifold Neural Dynamics) This method enables high fidelity decoding of neural activity in an interpretable manner with a small training data set. The Unmet Need: Measuring neural… Interests: Neurology Reference ID: 23-T-075 Desired Partnership: Co-development, Licensing IP: Patent Pending
