Knee osteoarthritis is the most common cause of musculoskeletal pain in adults, leading to limited mobility and various health issues. This breakthrough technology developed by Stanford researchers offers a promising solution.
Stanford scientists have created a statistical framework for interpreting next generation sequencing data which obviates the need for sequence alignment references in the most common and fundamental problems in genomics.
Stanford researchers at the Snyder Lab have developed a novel software application, called the Metabolic Subphenotype Predictor, which predicts if a patient is insulin resistant through continuous glucose monitoring.
This software is a transformative technology in the fields of AI and digital image processing, offering a breakthrough approach to convolution, particularly for large-scale images.
Researchers at Stanford have created ligand-induced dimerization activating RNA editing (LIDAR), a versatile molecular sensor that turns the presence of a ligand into translation of an output protein.
Stanford researchers have designed a remote digital health platform to assist diagnosis and management of some inflammatory skin conditions, such as eczema.
The Stanford Sarafan ChEM-H Medicinal Chemistry Knowledge Center has developed a novel aqueous solubilizing promoiety (Sol-moiety) that can be readily attached to a wide-range of functional groups and undergo controlled cleavage to improve the pharmacokinetic profile of a desi
Researchers in the DeSimone Research Group have developed a high-resolution injection Continuous Liquid Interface Production (iCLIP) 3D printing process.
Stanford researchers at the Lee Lab have developed a new system and method for measuring pathology then applying a novel algorithm to optimize neurostimulation therapy for altering pathology for treatment of neurodegenerative diseases.
Stanford researchers at the Lee Lab have developed a method to understand whole-brain circuit mechanisms underlying neurological disease and its application to predict the outcome of therapeutic interventions.
Stanford researchers have developed novel designs for 3D-printed microarray patches (MAPs) that can improve intradermal drug delivery and sampling. These designs support the use of microneedles for minimally invasive therapy administration and diagnostics.
Stanford researchers have developed a patient classification method (healthy, idiopathic, diabetic, etc.) based on a quantitative assessment score derived from autonomic and gastric electrocardiogram (ECG) and electrogastrogram (EGG) data.
Stanford researchers have developed an expanded catalog of compact transcription effector domains and fused them onto DNA binding domains to engineer synthetic transcription factors.
Stanford researchers in the Lin Lab have identified kinase-modulated bioluminescent indicators (KiMBIs) which can assess real time kinase inhibition in target tissues in vivo.