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.
Old age is attributed to over fifty percent of the global disease burden. While aging is a sign of normal development early in life, it leads to the loss of youthful traits and bodily function in later years.
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.
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 developed innovative methods for safely collecting, preserving, imaging, and molecularly profiling human brain tissue that remains on explanted intracranial electrodes used in neurosurgical procedures.
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.
Researchers at Stanford have developed a computational tool that enables the discovery of regenerative cells across all tissue types and novel targets in cancer.
Stanford researchers have developed a new on-chip system for laser microdissection that enables more reliable isolation of single cells or small regions of tissue and permits long-term sample storage.
Researchers at Stanford have developed a novel deep-learning-based tool called CytoTRACE2 that interprets single-cell RNA sequencing (scRNA-seq) to enable the discovery of regenerative cells across all tissue types and novel targets in cancer and other diseases.
Stanford researchers have developed a scalable assay that combines single-molecule nucleic acid imaging with single-cell sequencing, enabling the enrichment and detailed study of rare cell populations in complex biological samples.
Summary
Researchers at Stanford have developed a method enabling quantification of intracellular protein levels using oligonucleotide-barcoded antibodies.
Researchers at Stanford and the Chan Zuckerberg Biohub have developed a transcriptomic characterization of human endometrium and identified specific gene signatures for use in evaluating endometrial samples for one or more menstrual cycle events.
Researchers at Stanford have developed, for the first time, a component analysis algorithm that does not require any assumption on the data structure or data generation process to find out the important components or trends in data.
Researchers at Stanford and the Chan Zuckerberg Biohub have discovered cross reactive, broadly neutralizing human antibodies against all serotypes of dengue virus.