Stanford researchers at the Camarillo Lab have designed a real-time screening device system for predicting risk of concussion resulting from head impacts.
Researchers at Stanford have developed a magnetophoretic separation device (MSD) for isolating basophils and other rare cell types from a blood sample. The device applies exponentially increasing magnetic field strength to flowing magnetically tagged cells.
Stanford researchers have developed a new gene editing approach that enables red blood cell-specific gene expression for the treatment of enzyme deficiencies.
Stanford researchers at the Taylor Lab have developed software subroutines that can be used together with the open source software system Simvascular to improve the simulation of blood flow in modeling coronary arteries.
Engineers at Stanford have invented a smart toilet platform that will autonomously monitor excreted waste from humans. We describe easily deployable hardware and software for the long-term analysis of a user's excreta through data collection and models of human health.
Stanford researchers have developed a patient classification method (healthy, idiopathic, diabetic, etc.) based on a quantitative assessment score derived from autonomic and gastric electrocardiogram (ECG) and electrogastrogram (EGG) data.
This bandage-like multi-lead, continuous ECG monitoring device uses new stretchable electrode material developed in the Bao group to accurately and imperceptibly diagnose cardiac arrhythmia.
Stanford scientist has developed a computational method that extracts quantitative imaging features that reproducibly describe lesion phenotypes associated with treatment response and clinical outcomes in cancer.
Stanford researchers have developed a new method to more accurately monitor battery State of Charge (SOC) and State of Health (SOH), over its entire lifetime.
Determining a patient's drug susceptibility is currently a lengthy process requiring hundred to millions of cells. Currently, these cells are labelled, frozen or otherwise manipulated in ways that prevent sequential testing against multiple drugs on the same few cells.
Stanford researchers have created a portable, wearable device for long-term nystagmus tracking to better diagnose episodic vertigo. Current methods utilize head goggles in video nystagmography to monitor eye movement while the patient is in a clinical setting.
Stanford scientists develop a method for assessing patient risk of developing postsurgical neurocognitive complications using a combination of biomarkers. This method will ensure improved interventions and treatment outcomes.