As healthcare continues its transition towards precision medicine, physicians are eager to maximize both the quantity and quality of data obtained from their patients’ tissue samples. In the current “one drug, one test” paradigm, physicians struggle to balance the number of tests required to make a treatment decision with the limited amount of tissue that is available. Further complicating treatment decisions is the use of imperfect biomarkers associated with targeted therapies, as the patients who are identified to be ideal candidates for a targeted therapy respond only some of the time while patients who are not expected to respond do. This dilemma is of great concern for those who are responsible for paying for these expensive therapies - payers and patients – who would like to avoid unnecessary expenses for drugs that may not work and possibly cause debilitating side effects. Of course, of even greater concern is helping the patient identify the best therapeutic option that allows them the best opportunity to treat their disease and maximize their quality and quantity of life.Read More
Topics: image analysis, precision medicine, personalized medicine, immuno-oncology, biomarker, tissue biomarkers, diagnostics, tissue diagnostics, diagnostic test, biomarker signature, companion diagnostics
When you hear the term “Big Data”, most people think of the huge volumes of structured or unstructured data from different sources. For diagnostics, extracting meaningful information from big data offers the great potential of detecting novel biomarkers to provide targeted patient treatment.
Tissue Phenomics™ is a big data approach to clinical oncology that enables all of the data in tissue images to be fully quantified in context. This automated quantification takes all standard pathological tissue biomarkers used to make diagnoses plus new complex tissue signatures – which often are difficult to assess with the human eye – and makes them available for bioinformatic analysis.
The core of Tissue Phenomics™ is the Definiens' Cognition Network Technology® (CNT) which has been used by many researchers on a small data scale.Read More