Researchers at Stanford have developed a process for modifying metal powder stock to enable printing of high reflectivity metals using moderate laser powers (200-400 W) in commercially available printing systems (200-400W).
Stanford researchers have constructed a microbial cell factory by genetically modifying the bacterium Methylomicrobium alcaliphilum 20Z to convert methanol and methane into para-hydroxybenzoic acid (p-HBA).
Stanford researchers designed and built a light sheet microscope that can be used for deconvolution-free, high resolution volumetric imaging of cleared tissue specimens.
Researchers at Stanford University have developed a deep learning software algorithm that allows physicians running clinical trials to predict control patient outcomes using virtual control arms.
Optimizing battery performance currently relies on empirical testing using arbitrary parameters, under-validated physiochemical models, and limited data analysis of summary trends.
Jennifer Cochran and Carolyn Bertozzi have collaborated to develop a bifunctional molecule called a polyspecific integrin-binding peptide (PIP)-LYTAC that can bind to integrins expressed on the surface of cancer cells and trigger their degradation via the lysosome.
Stanford researchers have developed a method for etching microchannels through silicon substrates. Specifically, this method can produce wafers where the two sides have different features as well as through channels.
Researchers in the Stanford University Power Electronics Research Lab have designed an easy to implement, high-efficiency, high-frequency power amplifier with low voltage stress.
As of 2020, radiation therapy has saved over 3.38 million cancer patients in the US. Radiation therapy treatment planning often involves a time-consuming and labor-intensive process where physicians must manually optimize the prescribed radiation dose.
Many industries rely on the ability to predict and understand changes over time. Such changes include understanding the economical trend, emergence of infectious disease, and patterns in human behavior.