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Researchers at Stanford have developed a mammalian-cell-based directed evolution platform that combines programmable RNA editing with viral-mediated recombination to enable iterative diversification and optimization of protein and nucleic acid sequences.

Researchers at Stanford have developed a laboratory intelligence platform that integrates multimodal artificial intelligence, extended reality (XR), computer vision, and robotic systems to support scientific research workflows from experimental design through laboratory execut

Stanford scientists have developed a machine learning framework that predicts the complete molecular structure of an unknown compound directly from routine 1D NMR spectra with no additional information required, automating one of the most time-consuming and expertise-dependent

Stanford researchers have developed a novel, cell-free platform for rapid and high-throughput protein function analysis. This technology harnesses hydrogel bead-based emulsification to parallelize and screen DNA-encoded protein libraries in a scalable, efficient manner.

While conventionally known for its function as an inhibitory neurotransmitter, GABA signaling was recently discovered to have a significant role in fate determination of blood stem cells.

Huntington's Disease and other ataxias are devastating diseases without any cure or treatment. They are caused by the formation of toxic oligomeric and the aggregation of the Huntintin (HTT) protein.

Stanford researchers have developed Microbe-Independent Deep Assembly and Screening (MIDAS-M), a novel platform that dramatically accelerates the cloning of protein variants and its analysis in mammalian cells.

Researchers in Prof. Mark Schnitzer's laboratory have developed a robotic optical microscopy system which enables users to simultaneously view and record separate areas of a single three-dimensional sample.

Stanford researchers have developed a personalized arrhythmia risk prediction tool for dilated cardiomyopathy (DCM) patients using patient-derived induced pluripotent stem cells (iPSCs) to replicate heart biology and accurately predict arrhythmia risk, enabling timely interven

Imaging methods that can visualize biological samples with high and temporal resolution are critical for modern biomedical research and clinical practice.

Stanford researchers have developed a targeted antisense oligonucleotide (ASO) platform to restore physiological regulation of DYRK1A, a key driver of neurodevelopmental and neurodegenerative pathology in Down syndrome (Trisomy 21) and other tauopathies.

Scientists at Stanford have developed a novel imaging approach that enables high-resolution, label-free visualization of subcellular structures in living cells.

Stanford researchers have developed an innovative nucleic acid amplification method that enables low-cost, multiplexed detection while quantitatively maintaining the original ratios of target genes after amplification.

Researchers at Stanford, in collaboration with UCSF, have developed a two-part approach to preventing preterm birth (PTB), the leading cause of infant mortality worldwide. Current treatments, like low-dose aspirin and progesterone, are limited and often ineffective.

Stanford researchers have developed a label-free platform that combines surface-enhanced Raman spectroscopy (SERS) with machine learning to enable rapid, non-destructive profiling of cell identity and functional state at single-cell resolution.