Diagnostics
25 Results were found on Technologies
Sub Category Name
Write-and-Read: Programmable Epigenomic Sequencing via Synthetic DNA Labeling
DESCRIPTION A chemo-enzymatic platform that actively encodes new biological information into DNA before nanopore sequencing — enabling simultaneous genetic and epigenomic readout from a single molecule, in a single run. By installing synthetic base modifications at targeted sites, the platform converts epigenetic events (5-hydroxymethylcytosine, chromatin accessibility, DNA damage) into distinct, machine-readable electrical signals without bisulfite […] Read More >
Self Supervised ECG Embeddings for Emotion and Glucose Monitoring
Emotional state and glucose monitoring typically require subjective questionnaires, invasive blood tests, or specialized sensors that are impractical for frequent or continuous use. ECG is widely available and non‑invasive, but existing models struggle to infer higher‑order states (emotion, metabolic status) from noisy, non‑stationary ECG signals, especially when labeled datasets are small. Current self‑supervised ECG methods […] Read More >
Artifact-Free Panoramic Dental X ray via Deep De Shadowing
Unmet need Panoramic X‑rays suffer from inherent ghost jaw, spinal overlay, and pharyngeal air‑gap artifacts that obscure teeth, mandibular canal, TMJ, and lesions, risking missed or uncertain diagnoses. Current enhancement tools, such as contrast equalization, super‑resolution, GAN-based deblurring improve image quality but do not explicitly correct these projection artifacts. Clinicians often require CBCT to clarify […] Read More >
Neural Segmentation of Seeding ROIs for Pre-Surgical Brain Tractography
White matter tractography mapping relies on accurate manual delineation of anatomical seeding regions of interest (sROIs) by neuroanatomy experts, but stringent pre-operative time constraints and limited availability of experts create a critical bottleneck for neuro-surgical planning and navigation. Moreover, the manual segmentation process is labor-intensive and not feasible given the time pressures of pre-surgical planning, […] Read More >
High-Precision Automated Detection of Interictal Epileptiform Discharges in Intracranial EEG Sleep Data
Interictal epileptiform discharges (IEDs) are critical markers in epilepsy, playing a key role in diagnosis and treatment planning; however, their detection remains labor-intensive, subjective, and lacking standardization—particularly in the context of intracranial EEG (iEEG) during sleep. Most existing automated tools were developed for scalp EEG, leaving a significant gap in validated, scalable solutions for deep […] Read More >
DeepMonC: Ultrafast Quantitative MRI via Vision Transformers
Current MRI techniques face significant limitations due to lengthy scan times, limited accessibility, and challenges in achieving comprehensive, high-quality tissue characterization. Techniques like saturation transfer MRI and multi-contrast protocols, while offering rich biochemical information, are hindered by time-consuming, multi-sequence acquisitions and often struggle with hardware-related artifacts and consistency across sites. This results in an inefficient […] Read More >
A Novel Model for Estimating Hair Cell Loss from Audiograms Using a Nonlinear Cochlear Model
Age-related hearing loss (presbycusis) is prevalent and multifactorial, but current clinical tools cannot precisely differentiate between the underlying cochlear pathologies (e.g., sensory vs. metabolic loss). There is also a scarcity of non-invasive, quantitative methods to estimate the extent and location of hair cell loss in living patients, limiting personalized treatment and research into hearing loss […] Read More >
Assessing Neu5Gc Disease Risk: A Novel Diagnostic and Dietary Management Tool
Our technology identifies individuals at increased risk of developing diseases related to Neu5Gc consumption. By analyzing antibody repertoire scores and Neu5Gc intake, the method predicts disease likelihood and provides tailored dietary recommendations to reduce risk. Unmet Need Neu5Gc, a non-human sialic acid present in red meat and dairy, has been implicated in chronic inflammatory conditions […] Read More >
Multi-Sample Array Chip for DNA Modification Quantification
Introducing an advanced multi-sample array chip that enables precise quantification of epigenetic DNA modifications, including 5-hydroxymethylcytosine (5-hmC) and DNA damage. This technology bridges the gap between sensitivity and throughput, providing a robust platform for cancer diagnostics and personalized medicine. Unmet Need Current methods for analyzing DNA modifications suffer from limitations such as low sensitivity, high […] Read More >
Simultaneous Analysis of Large Genomic Structural Variations and Their Epigenetic Profile
This innovative technology enables simultaneous quantification of DNA repeat sequences, large deletions, insertion, inversion and translocations, together with CpG methylation and hydromethylation patterns in individual molecules. By leveraging state-of-the-art optical mapping and fluorescence-based methylation detection, this method provides unprecedented precision in diagnosing diseases like facioscapulohumeral muscular dystrophy (FSHD) and cancers. Unmet Need Current technologies for […] Read More >
