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Stanford scientists have developed a novel cardiac Ex-vivo Preservation System (EVPS) capable of maintaining hearts of any size warm and beating upon transport, expanding heart transplant options for pediatric populations.

Stanford researchers have developed an advanced method for accurately tracking and accumulating radiation dose in magnetic resonance-guided radiotherapy.

Code In Place is an innovative program from Stanford University that provides free, high-quality introductory courses in Python programming, utilizing volunteer tutors to reach a global audience.

Researchers at Stanford University have discovered that donor-specific anti-HLA antibodies can be used to detect and treat graft-versus-host disease (GVHD) in transplant recipients after allogenic transplantation.

Stanford researchers have developed a combination drug therapy for the effective management of pain with minimal abuse potential.

Stanford researchers have developed a novel shortwave infrared (SWIR) sinuscope to noninvasively detect cerebrospinal fluid (CSF) leaks during skull base surgeries.

Stanford scientists developed an integrated risk score to predict hemorrhagic transformation (HT) following an acute ischemic stroke (AIS).

Researchers at Stanford University have identified EP300 modulators as effective treatments for reducing skin scarring, demonstrating significant regeneration of hair follicles, sweat glands, and connective tissue architecture.

Scientists in Dr. Howard Chang's lab have developed ESCAPE-seq (Enhanced Single Chain Antigen Presentation sequencing) to identify novel neoantigen sequences for the development of immunotherapies.

PirB (PIR-B) knockout mice are genetically modified mice in which the gene encoding the PirB receptor (paired immunoglobulin-like receptor B) has been disrupted or "knocked out." PirB is a member of the immunoglobulin superfamily and plays a role in regulating immune responses

Stanford researchers have developed a method for screening RNA-modulating drugs that reports on changes to mRNA in its native cellular context.

Stanford researchers have developed a label-free assay to detect protein aggregation and established a proof of concept in α-synuclein aggregates.

Stanford scientists have developed a method incorporating Hall-effect sensors and machine learning models to localize partial discharge for insulation defect detection and reliability assessment.

Stanford researchers have developed a groundbreaking universal programmable and self-configuring optical filter.

Researchers from Stanford's Space Rendezvous Lab are developing a software codebase to facilitate high-fidelity spacecraft control simulations.