Stanford Artificial Retina Project researchers have developed an ASIC Retina Chip that interfaces with retinal ganglion cells to restore vision in patients with retinal degeneration.
Researchers at Stanford have identified amino acid modifications in the IgG Fc region which extend its therapeutic half-life and improve its in vivo receptor binding.
Researchers at Stanford have developed FiberFold, a computational tool enabling the rapid analysis of 3D chromatin architecture in conjunction with chromatin accessibility, CTCF binding, CpG methylation, and underlying genetic architecture.
The Stanford team has developed a Short Fiber Pre-Plied Double-Double (PPDD) Tape that can achieve complex, double-curvature composite parts like a helmet while maintaining high stiffness and other desired mechanical properties.
Stanford researchers have developed a new class of aryl ester RNA-reactive reagents that are stable for months in water yet rapidly modify RNA upon catalytic activation, enabling reliable, scalable tools for RNA research and therapeutic applications.
Stanford researchers have developed a DNA-guided catalytic method that enables precise, site-specific chemical modification of RNA, allowing efficient labeling or functionalization for research and therapeutic applications.
Stanford researchers have developed multivalent SIRP-alpha fusion polypeptides that selectively block the CD47–SIRP-alpha immune checkpoint with enhanced potency, enabling next-generation immunotherapies that promote immune clearance of cancer and diseased cells while minimizi
Stanford researchers have developed the Broadly Usable Multi-Pass Engineered Receptor (BUMPER) architecture, a novel protein engineering platform for assembling stable, multifunctional cell surface receptors.
Researchers in the Onori Lab have developed a state of charge (SOC) estimation technique for Lithium Iron Phosphate (LFP) batteries using machine learning.
Stanford inventors have developed an innovative hardware platform implementing dendrocentric learning, a neuro-inspired computing paradigm that mimics the brain's dendritic processing, using voltage-controlled magnetic anisotropy magnetoresistive random-access memory (VCMA-MRA
Stanford scientists have developed the Programmable Antigen-Mediated Cellular Knock-in of T cell (PACK-IT) platform that enables rapid CAR-T cell engineering in hours rather than weeks.