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Stanford researchers have developed a novel therapeutic approach for neurodegenerative diseases by targeting endoplasmic reticulum (ER) stress in neurons using CHOP inhibitors, with significant potential for development into first-in-class neuroprotective drugs for neurodegene

The Stanford team has developed a method to dynamically control the topography of nano-scale surfaces using soft, responsive polymers, enabling new ways to actively shape the spectral, angular and polarization properties of light in response to electrical and chemical stimuli

Stanford researchers have developed an approach to seamlessly integrate microfluidic features into existing laboratory equipment, specifically designing a reaction tube compatible with standard thermal cyclers, enabling functionalities such as sample handling, molecular transp

Stanford researchers have developed a non-viral, homology-independent method for precise targeted DNA insertions into T-cells using electroporation and CRISPR/Cas9, enabling cost-effective production of CAR T-cells for T-cell therapies.

Stanford scientists have developed a prolonged drug-releasing formulation for delivering an iron chelation therapeutic to central nervous system in preterm births to prevent post-hemorrhagic hydrocephalus (PHH) in severe neonatal intraventricular hemorrhage (IVH)

The interaction between lung epithelium, mseenchymal stroma and immune cells underlies essentially all lung pathologies, inclusive of infection, cancer and autoimmunity, for instance with cytokine storm and SARSCoV-2 infection or anti-tumor immunity in cancer.

Stanford researchers in Prof. Aaron Newman's lab have created a machine learning framework to profile spatial ecotypes in the tumor microenvironment (TME), providing a new way to monitor cancer pathogenesis and immunotherapy response noninvasively.

Stanford scientists have invented a device to improve the tunneling of surgical drains, addressing a significant need in surgical procedures.

The distal lung functions in gas exchange essential for breathing and can be critically affected by infectious respiratory diseases, bacteria, and other pathogens which can lead to pneumonia and life-threatening respiratory failure.

Stanford researchers have developed a deep and wide learning (DWL) model that enhances data-driven learning by incorporating inter- and intra- data relationships. This strategy significantly improves both model performance and inference accuracy.

Background

Stanford scientists in Dr. Michael Lin's lab have established the use of B-cell reducing agents to improve an oncolytic virus (OV) therapy to rewire cancer signaling while limiting the production of antibodies against the virus in mouse studies.

Stanford researchers have developed a next-generation bead-based assay platform that enables highly scalable, multiplexed detection of proteins, antibodies and oligonucleotides in a single run.

Stanford scientists have developed a novel calibration method to improve the accuracy and sensitivity of CRISPR-based diagnostic assays.

Stanford researchers have developed a patented, wearable, haptic feedback device that provides position and velocity information on the limbs and torso by imparting rotational skin stretch.