198 Results were found on Technologies
Sub Category Name
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 >
Automatic Fitting System for 3D Printing of Splints
Unmet Need Upper limb injuries frequently require splints for rehabilitation and support. Current options are limited, and include: Off-the-shelf splints: Not tailored to individual anatomy, may not fit or provide the required biomechanical action. Hand-made splints: Require skilled clinicians, are time-consuming, and occupy the clinician during fabrication, delaying 3D-printed splints are promising but demand advanced […] Read More >
Noncoding RNA-Based Strategy for Diagnosis and Monitoring of Pancreatic Cancer
Pancreatic Ductal Adenocarcinoma (PDAC) is one of the deadliest forms of cancer, with a five-year survival rate of less than 10%. A major contributor to this high mortality is the lack of effective tools for early detection — the disease is typically diagnosed at an advanced, often inoperable stage. Current diagnostic approaches, including imaging and […] Read More >
Automated Follicle Tracking via Home-Use Ultrasound- Enhancing Fertility Monitoring with AI
While ultrasound is widely used during pregnancy, its role in pre-conception—particularly for follicle tracking—is equally critical. In fertility treatments like IVF and IUI, timing ovulation is key. This relies on frequent, accurate monitoring of follicle development. Currently, this is performed through manual 2D ultrasound scans in clinical settings, which are: Time-consuming, operator-dependent and inconvenient for […] Read More >
Execution Guided Line-by-Line Code Generation
Large language models (LLMs) have revolutionized the field of code generation, demonstrating impressive capabilities in automating programming tasks and assisting developers. Despite these advancements, current methods primarily rely on pattern recognition from static code representations, often producing syntactically plausible but functionally incorrect code. Many of these models lack the ability to explicitly reason about runtime […] Read More >
Overclocking LLM Reasoning- Monitoring and Controlling Thinking Path Lengths in LLMs
Large Language Models (LLMs) like ChatGPT have revolutionized AI-powered reasoning, enabling applications across diverse domains. However, their internal reasoning processes often remain opaque, leaving users in the dark about how long the model will take to arrive at an answer. UNMET NEED Currently, users interact with reasoning models without any indication of the internal progress […] Read More >
Innovative Drug Delivery: Hydrogel-Forming Microneedles with Programmed Mesophase Transitions
An innovative drug delivery system utilizing hydrogel-forming microneedles that undergo programmed mesophase transitions. This technology allows for the controlled release of drugs, enhancing the efficacy and safety of pharmaceutical treatments. The microneedles transition from solid to swollen hydrogel upon contact with biological fluids, followed by further transformation into hydrogel microparticles, which facilitates a sustained release […] 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 >
Bio-Inspired Liquid Compartments for Efficient Encapsulation and Controlled Release of Payloads
Tunable peptide-RNA microcompartments inspired by viral structures that have high encapsulation efficiency of small organic molecules and large macromolecules that their release is triggered by light. UNMET NEED Current drug delivery or microreactor systems are lipid-based nanoparticles (NPs) that has shown a wide range of applications as drug delivery vehicles and are used for various […] Read More >
