AI

This technology utilizes machine learning to accurately predict and prioritize cancer neoantigens by integrating diverse genomic and transcriptomic features beyond traditional peptide-major histocompatibility complex (MHC) binding affinity.

This technology is a suite of statistical and deep learning methods for the analysis of large-scale biomedical data with applications in drug testing, biomarker validation, and personalized medicine.

This technology is a deep learning-based software tool that automatically estimates volumetric breast density directly from standard 3D digital breast tomosynthesis (DBT) images without requiring raw data.

This technology is an AI-powered, automated solution for rapid, accurate, and high-quality data extraction from electronic health records.

This technology is a software platform that uses generative AI and computer vision for real-time, automated generation of radiology reports.

This technology is a machine learning tool that improves the diagnosis of cutaneous T-cell lymphoma (CTCL) by integrating the analysis of genetic markers with patient electronic health records.

This technology is software and hardware for efficient initialization and optimization of deep neural network (DNN) parameters that can be used for training large-scale, optimally robust DNN models.

This technology is micronuclAI, a pipeline for automated and reliable quantification of micronuclei of varying size, morphology, and location from nuclei-stained images to assess chromosomal instability, a hallmark of cancer.

This technology is a publicly available, user-friendly online platform making it easier to collect, search for, read, and download government documents.

This technology is a computer vision system that improves accessibility of sports (e.g., tennis) to blind and low-vision fans by overlaying 3D spatialized audio in real-time.

This technology is a machine learning platform that automatically interprets rapid diagnostic tests from images and uses self-supervised pre-training to adapt to new test kits with minimal data.

This technology is an AI-powered software tool for the robust and automated quantification of breast density from digital mammograms, providing improved performance in breast cancer risk assessment.

This technology is a software that analyzes cell-cell interactions to uncover gene programs and signaling nodes in disease.

This technology is a deep learning model that uses a U-Net neural network to generate nonfat-suppressed breast MRI images from standard fat-suppressed scans, allowing for diagnostic evaluation.

This technology is a method that uses neural signals to selectively separate and enhance auditory signals from particular speakers in a noisy environment.