Diagnostics

 

22 Results were found on Technologies

Leading Researchers:
5-2017-1093

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 >

Leading Researchers:
2023-0079

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 >

Leading Researchers:
2024-0070

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 >

Leading Researchers:
2025-0099

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 >

Leading Researchers:
5-2020-1480

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 >

Leading Researchers:
5-2017-1133

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 >

Leading Researchers:
5-2016-1009

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 >

Leading Researchers:
2023-0007

Accelerated Brain MRI

MRI has become an invaluable tool for diagnostic brain imaging, providing unrivalled qualitative and quantitative information to the radiologist. However, due to long scanning times and capital costs, access to MRI lags behind CT. Typical brain protocols, lasting between 20-50 minutes per patient, set a clear limitation to patient experience, scanner throughput and operation profitability, […] Read More >

2024-04-09

Tailorable Sensors for Enzymatic Activity Based on Single-Walled Carbon Nanotubes with a Responsive Corona of Dendron–Polymer Hybrids

We have developed highly modular amphiphilic polymer-dendron hybrids composed of hydrophobic dendrons and hydrophilic linear polymer (e.g. polyethylene glycol (PEG)) that can be synthesized with a high degree of structural precision for suspending SWCNTs in an aqueous solution. Utilizing the susceptibility of the dendritic block of these amphiphiles toward enzymatic degradation, we demonstrated the ability […] Read More >

Leading Researchers:
5-2015-889

Point of Care Monitoring of Osteoporosis Treatment Efficacy

A small, simple, affordable, table top scanner to detect cellular changes in fat percentage in bone marrow as an early indicator of treatment efficacy. Accessible, Affordable, Sensitive, Noninvasive, at the Doctor’s clinic UNMET NEEDBone marrow adiposity in postmenopausal women increases with osteoporosis There is a negative association between bone marrow fat and the rate of […] Read More >

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