Sequencing Screening Method Investigated for Childhood Cancer Precision Medicine Treatments
A key insight of this study is how comprehensive genomic sequencing (CGS) provided a detailed perspective of the genetic makeup of each patient’s tumor.
A key insight of this study is how comprehensive genomic sequencing (CGS) provided a detailed perspective of the genetic makeup of each patient’s tumor.
The field of theranostics is growing as a way to simultaneously diagnose and treat cancer, and plans at UC Davis Health reflect the potential value of this approach.
Newly Planned UC Davis Health Clinic Demonstrates the Growing Value of Theranostics Read More »
A study of 1,600 cancer patients illustrates the potential benefits of using genomic-adjusted radiation dosing, or GARD, which oncologists can tailor to patients’ genetic risk factors.
New personalized biochip technology developed by Rensselaer Polytechnic Institute allows oncologists to test hundreds of treatment options at one time.
One of the key findings of the Stanford Medicine research was that evaluating certain proteins better predicted the risk of metastasis of uveal melanoma when compared to conventional evaluation methods.
Some say clinical guidelines for detecting risk are too narrow and miss many at-risk individuals. Such testing may start people on the path to managing risk.
Australia Considers Making Low-Cost DNA Screen for Hereditary Cancers Widely Available Read More »
Hospital leaders and oncologists should be aware of how cancer vaccine technology is developing and how it will be used to treat patient-specific tumors.
Single Cancer Vaccine or Set of Vaccines May Soon Cover Patient-Specific Mutations Read More »
A recent Georgetown cfDNA analysis study points to certain modifications to DNA, called methylations, that allow researchers to identify what type of cell the DNA came from. The review may set the stage for future research efforts.
Blood Testing Technology May Yield Better Information Than Tissue Biopsies for Cancer Read More »
A new 3D bio-printing method marks an exciting beginning to precision medicine treatments for highly-aggressive glioblastoma cancer.
Breast imagers are uniquely positioned to lead the way in AI cancer screening through their extensive experience with computer-assisted diagnosis (CAD), stated Constance Lehman, MD, PhD, a diagnostic radiologist, Professor of Radiology at Harvard Medical School, and Director of Breast Imaging at MGH.