Stanford researchers at the Bao Research Group have patented a body area sensor network (bodyNET) that can be used to monitor human physiological signals for next-generation personalized healthcare.
A novel method for dissociating plant tissues for biochemical and genomic analysis that accommodates harsher digestion conditions with increased tissue dissociation efficiency and quality of isolated RNA.
Stanford researchers in the laboratory of Dr. Daria Mochly-Rosen have developed novel small molecules for modulating ALDH2 (mitochondrial aldehyde dehydrogenase-2).
Using a novel convolutional neural network architecture, PlexusNet can be used for histologic image analysis with smaller parameter and training sets than current state-of-the-art models.
Stanford researchers have formulated a risk scoring calculator using a human induced pluripotent stem cell (iPSC) model to accurately predict and calculate insulin resistance via a novel blood test.
Researchers at Stanford have discovered that treatment with JNK II inhibitor and IBMX has a synergistic therapeutic effect against osteoarthritis (OA).
Stanford researchers at the Liao and Xing Labs have developed and tested a machine learning algorithm for augmented detection of bladder cancer. Machine learning has the potential to enhance medical decision making in cancer detection and image analysis.
Stanford researchers have developed an efficient electrochemical pathway for hydroxyl radicals (*OH) production for advanced treatment trains for purification of municipal wastewater for potable reuse.
Stanford researchers at the Chichilnisky lab have developed a novel framework for a far superior artificial retina with strikingly near optimal efficiency (96%) of visual perception.
Coronary artery bypass grafting (CABG) surgery is performed on nearly half a million patients with multivessel or diffuse coronary artery disease each year in the United States.
Stanford researches have formulated a robust database called PRECOG (Prediction of Clinical Outcomes from Genomics) that connects cancer genome expression and patient survival/outcomes in a more predictive and extensive collection than any other signature on the market.
The invention consists of a general strategy for modifying GPCRs to enhance biochemical stability and facilitate the formation of diffraction quality crystals.