Stanford scientists have developed a lateral flow diagnostic platform that detects pathogen DNA without nucleic acid amplification, delivering results visible to the naked eye in under 30 minutes.
Stanford researchers have developed a novel PET agent for diseases stemming from T cell origin. The probes help visualize the disease status as well as the progress of therapy.
Researchers at Stanford have developed constitutively active, programmable synthetic cytokine receptors capable of polarizing human macrophages to a variety of user-defined cell states which may be useful for therapeutic applications.
Researchers at Stanford have developed a general software framework that reconstructs high-resolution spatial fields from sparse, irregular, or noisy measurements.
Researchers at Stanford have developed ComBind, a computational platform that improves prediction of how drug molecules bind to their protein targets by combining structural modeling with readily available binding data from other molecules.
Researchers at Stanford have created a de novo protein design platform that designs binding proteins specifically interacting with the MHC-peptide complex.
Stanford researchers have developed an innovative platform that automates and optimizes key steps in forensic investigative genetic genealogy (FIGG), a growing method used to solve violent crimes and identify human remains.
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.
Researchers in the Onori Lab have developed a state of charge (SOC) estimation technique for Lithium Iron Phosphate (LFP) batteries using machine learning.
Stanford researchers in the Onori Lab have developed a method for accurately estimating battery state-of-charge (SOC) using the inverse derivative of galvanostatic voltage response (dQ/dV) curve.
Stanford researchers in the Onori Lab have developed a battery management system (BMS) that uses sine-wave current pulses to accurately determine a battery's state-of-charge (SOC).
Stanford researchers have developed a novel technology called FLASH (Functional Assigning Sequence Homing) that predicts phenotypes directly from raw sequencing data, bypassing assembly and alignment, while revealing the biological features driving those predictions.
Stanford scientists have developed a parametrically programmable delay line that uses superconducting circuits to store and manipulate quantum information with dynamic control capabilities.