Stanford researchers have developed MONTAGE, a powerful computational framework designed to identify groups of cells, called spatial communities, and map how these groups change across biological functions linked to cancer progression.
Stanford scientists have designed a passive and active polarization-insensitive grating coupler that enables consistent fiber-to-chip light coupling regardless of input polarization state.
Non-small-cell lung cancer (NSCLC) accounts for approximately 85% of all lung cancer cases, making it the leading cause of cancer-related deaths globally. Post-surgical recurrence and treatment resistance are the main causes of cancer-related mortality.
Stanford researchers have developed a neuromonitoring-guided cognitive intervention that enhances working memory by dynamically identifying and reinforcing engagement of individualized brain networks in real time.
Stanford researchers have invented techniques to adaptively tune the operation of a wireless full-duplex node. To enable full-duplex operation, the receiver circuit needs to be able to cancel the transmitter's signal in order to receive data from other nodes.
Stanford researchers have developed a novel CRISPR-based method, Oligo-LiveFISH, for generating large-scale pools of synthetic RNA oligos that enable multiplexed targeting, imaging, and manipulation of genomic regions in living cells.
Stanford researchers have developed the Large-scale Electrophysiology Amplification Platform (LEAP), a wireless, label-free optical system for monitoring the electrical activity of neurons and heart cells.
Stanford researchers have developed a novel, inverse-designed wavelength division multiplexer (WDM) that integrates high-performance Bragg gratings for use in optical communication systems.
Stanford researchers in Prof. Corinne Beinat's lab have developed a novel radiotracer, [18F]hGTS13, for non-invasive imaging of system xc- activity, enabling the identification of ferroptosis-sensitive cancers and monitoring the efficacy of ferroptosis-inducing therapies.
Stanford researchers in the WE3 and S3 Labs developed software for biogas modeling suitable for real-time, co-digestion forecasting control for waste streams with widely varying biodegradability rates.