Pathology reporting has historically been a documentation and communicative tool for medical decisions.With CAP synoptics,reports are more structured, but we should do better.Future pathology reports should be mechanisms for seamless data exchange.
We're proposing a global melanoma registry to improve the development and validation of biomarkers in melanoma. We suggest a focus on standardization to increase the quality of the registry but it's important that this is a multicenter effort.
The inability to effectively and efficiently share clinical experience can be overcome when research institutions and community clinics adopt a common database standard that supports data sharing to promote clinical research and decision making.
Pursue bottom up and top down initiatives to enhance cancer data sharing.The bottom up initiative is in designing digitized pathology report mechanisms.The top down is architecting information exchanges to dynamically accept feeds from these reports.
Biology is a data science, and while even the most basic cancer research will require familiarity with bioinformatics, data science, and a host of computing best practices - most scientists don't get this training. There are solutions.
Adaptive Inc is a leading provided of enterprise class metadata solutions and would like to donate it's platform to the Moonshot effort to improve and enhance the value of the data produced and analyzed
The ideas presented in this research idea are aimed at better understanding and treating metasstatic cancer across all types of cancer.
There is a lot of interest in the study of "exceptional responders" with regard to tumor molecular characteristics - as a corollary, what other systemic factors allow some individuals to far outlive their anticipated prognoses?
Build a Mobile App to scan your skin, and build a 3D model of your body and of the moles.
People can scan their body every month, to know what are the new and/or growing moles.
Currently no one is sharing data, including those who are receiving money for cancer research.
Enabling sharing is essential to bring together vast amounts of legacy clinical trial data to advance medical discoveries. Discoveries made through collaborations and sharing data are discoveries that cannot be made using small isolated data sets.
ASCO is pleased to submit this Cancer Moonshot idea: Incorporate Real-World Evidence to Enable Learning from Every Cancer Patient.
A robust data sharing infrastructure for basic scientists, clinical researchers, and clinicians will enable more efficient interpretation and integration of genomic information into clinical care for hematologic cancers.
Four out of five cancer patients are treated in a community setting.Yet patient data and tumor samples may not be stored nor the information included in large data bases.
Pre-clinical data remaining as 'black box' and no supporting peer-reviews will discourage and limit the scope of clinical studies. Providing transparent pre-clinical knowledge on how well the drug has worked so far important for clinical studies.