Kidneycancer.org and SecureAIlabs.com are creating a federated database query system and have asked for input on their effort.
Blog
Hackathons: Catalyzing Research using Ensembles of Classifiers
Abstract
TSPG and TLFRCC (thyroid-like follicular renal cell carcinoma)
Eva Comperat's session at the 2021 GUASCO described several new Kidney cancer subtypes including a thyroid-like variant dubbed TLFRCC. Ko describes this variant in her paper "Whole-genome and transcriptome profiling of a metastatic thyroid-like follicular renal cell carcinoma".
TSPG and the 2018 p1RCC DNA Hackathon Results
Research Hackathons - a path forward when Clinical "Standard of Care" and Clinical trials run out
2020 Yearend p1RCC Hackathon Update
Assuming money is no object, your medical care is a function of your clinician's medical knowledge. If you have a common, well understood condition, your clinician will treat you using a "Standard of Care", a written procedure that tells them exactly what to do and how to repeat it with great success. Effective "Standards of Care" are usually straightforward. For example, few people die of
An argument for Hackathons
I recently had a discussion about the value of hackathons.
Here was my argument.
The Problem: Cancer Research Doesn't Work
What do your docs say about Pap type 1?
I received this question two days ago on SmartPatients.com "What do your docs say about Pap type 1?"
Good question. Here is my detailed response.
"So far, NO improvement in outcome over the last decade."
2020 Kidney Cancer Hackathon: Results
Summary
2020 Kidney Cancer Hackathon: Objectives and Plan
Based on process problems I've seen at hackathons to date, my "hackathon goal" was to map Pete Kane's objectives1 to a plan containing activities that we could execute and improve at TRI-con. The subsequent "2020 Kidney Cancer Hackathon: Results" post describes what actually happened. Of course, I expect the plan to be iterate
2020 Kidney Cancer Hackathon: Data
Expectations: The expectation we have from participants is 1) that the data is not used past the hackathon without permission, 2) any result created is shared with the patient (Bill, who will keep it confidential until publication), and 3) if published, the publication acknowledges the researchers who created the data upon which the results are based.
