Stanford researchers have developed a novel method that enlarges the search space for disease-gene relationships. The main barrier to genome interpretation is the inherent difficulty in prioritizing the millions of genetic variants in known genes.
The Bronte-Stewart lab has designed an algorithm for calculating neural activity burst duration to better manage closed loop deep brain stimulation in patients with Parkinson's disease.
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.
The Ji lab has developed a sequencing assay to provide genetic diversity information of microsatellite and chromosomal instability (MSI) in colorectal cancer. MSI arises from a loss of DNA mismatch repair in colorectal cancers, making them genetically diverse.
Encapsulation of therapeutic cells can increase its efficacy, but current methods are non-uniform and inefficient. This inconsistency leads to varying interactions between each encapsulated cell and the extracellular matrix (ECM).
Radiation therapy is a common option in diseases like breast cancer, but can also cause significant damage to the skin. Permanent scarring and fibrosis can result, with both aesthetic and functional consequences for cancer patients.
Researchers at Stanford have developed, for the first time, a high-throughput method to systematically detect and identify silencer elements in the human genome.
Stanford researchers have developed one of the smallest, active translational enhancers that can be adapted to control gene regulation. The translation enhancer is a short RNA stem-loop structure isolated from a Hox gene.
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.
Because 98% of the genome does not code for a protein, unraveling how non-coding genetic variants contribute to complex diseases remains a great challenge.
Researchers at Stanford have demonstrated a new type of energy-efficient and ultrathin memory. This low-energy cost memory is based on stacking orders in the atomically thin limit, associated with tiny changes in the position of one atomic layer with respect to another.
Stanford researchers have developed a safe and effective system that enables neurofeedback training in combination with neuromodulation for the treatment of brain disorders characterized by abnormal neuronal synchrony and synaptic connectivity.