Researchers at Stanford have developed methods to classify and treat MYC-driven hematopoietic cancers. The MYC oncogene drives the proliferation and survival of many hematopoietic cancers. These cancers are highly aggressive and do not respond to conventional chemotherapies.
Stanford researchers have demonstrated a new passive cavitation mapping algorithm based on sound localization of multiple scatters of cavitation. It shows improved resolution as compared to existing passive cavitation mapping algorithms based on a basic beamforming.
Stanford researchers have patented the use of a coherent frequency-domain technique in microwave thermoacoustic imaging, which significantly improves signal-to-noise ratio (SNR) and reduces peak-power requirements without sacrificing resolution or other performance metrics.
Several linear accelerator vendors have systems with single x-ray imager. A single x-ray imager presents a challenge to estimate 3D positioning. A method to estimate the 3D position using a single x-ray imager with prior information has been developed by Stanford researchers.
High-grade serous ovarian cancer (HG-SOC) is the most lethal gynecologic malignancy, in large part because most patients present with late-stage disease and receive the same therapeutic regimen despite significant heterogeneity in disease and clinical response.
Researchers in Dr. Anton Wyss-Coray's lab have identified a new therapeutic avenue for treatment of age-related neurodegenerative diseases. Cerebrovascular changes and inflammation are key features of brain aging and neurodegeneration.
Stanford researchers have developed software that offers a solution to presenting tasks in a clinical magnetic resonance imaging facility to evoke specific responses within the human brain.
Stanford researchers have developed a novel method for the quantification of person-level network functioning, enabling the diagnosis of depression and suggesting an appropriate treatment.
Stanford researchers at the Bao Lab have designed and fabricated a highly stretchable, tough, and self-healable material with high fatigue resistance applicable for electronic (e-) skin devices.
Real-time internal target position estimation is of high interest in radiotherapy, particularly with the recent development of robotic, linear accelerator, DMLC and couch-based systems which can continuously align the radiation beam with the target.
In the presence of intra-fraction organ motion, target localization uncertainty can hamper the advantage of using highly conformal dose techniques such as intensity modulated radiation therapy (IMRT).
A team of Stanford researchers have identified a set of biomarkers that could be used to recognize patients with age-related declines in their immune function.
DNOPT (dense nonlinear optimizer) is Fortran 77 software developed by Prof Philip Gill and Elizabeth Wong (UC San Diego) and Prof Michael Saunders (Stanford).