**Applications to Participate Open Early 2018**

 
 
 

INTRODUCTION

Following the success of our 2017 NF2 Genomics Hackathon, we are excited to pre-announce the second event in our collaborative research series, focused on papillary renal-cell carcinoma type 1 (p1RCC).

In partnership with RareKidneyCancer.org, we will invite 150 researchers, engineers and enthusiasts to join us in San Francisco for an intense weekend of exploration in computational biomedicine. Interdisciplinary teams will work to further understand, develop potential interventions and advance the standard of care for p1RCC. In addition to pursuing kidney cancer patient sequencing, we will use genomic datasets for p1RCC through the NIH's Cancer Genome Atlas. 

 

BACKGROUND

Papillary renal-cell carcinoma, accounts for between 15 to 20% of all kidney cancers. It occurs in the cells lining the small tubules in the kidney that filter waste from the blood and make urine. Little is known about the genetic basis of sporadic papillary renal-cell carcinoma, and no effective forms of therapy for advanced disease exist.

 

PURPOSE

  • Advance papillary renal-cell carcinoma research.
  • Contribute to real, ongoing patient cases.
  • Create interdisciplinary networks of computer scientists and biologists.
  • Learn and develop skills in AI/ML, computational biology and cancer genomics.
  • Build an open community for collaborative biomedicine discovery.

 

KEYNOTE

James J. Hsieh, MD, PhD.png

Dr. James Hsieh, MD, PhD, one of North America’s foremost Kidney cancer experts, will be providing the keynote address. Dr. Hsieh is a professor at Washington University's School of Medicine. His research spans Kidney cancer metabolomics, Genomics, Epigenetics, Therapeutics, Precision Medicine, drug development and more.

 

 

 

ATTENDING

Applications to join the event will be open January 1st 2018. We're working to offer more support for participants traveling from outside of the Bay AreaRemote participation is open to all. If you plan on attending with a pre-formed team, we encourage you to have team members from both engineering and biology backgrounds.

Important Dates:

Early May: Genomics and AI/ML Tools Workshop.

Friday - Sunday May 18th - 20th, p1RCC Collaborative Research Hackathon.

Early June: Post Hackathon Happy Hour Party.

 

DATA

  1. Our patient co-organizer is providing Whole exome sequencing data for our research community. We will use his data, in tandem with;
  2. We partnered with NIH Cancer Genome Atlas for data that includes: RNA-Seq gene expression, identifiable germ-line mutations and some clinical information for Papillary Renal Cell Carcinoma.

    Cases (291)

    Genes (12,063)

    Mutations (25,723)

  3. The datasets are made available through Genomic Data Commons.
  4. Some of the data are controlled, to gain full access, including raw sequence data BAM files, you must submit a dbGaP access request.
  5. We will try to help teams organize around researchers with full data access. Please contact us at hello@sv.ai if you have full access and are interested in leading a team at the event.

 

UPDATES

Lots of announcements on the way! Our problem tracks are under development and we have a amazing lineup of Speakers, Mentors, Judges and Advisors to announce over the next few months. If you aren't already a member, Join SVAI to receive updates on this event and our monthly computational life sciences gatherings.

 

PARTNER WITH US

We are working diligently on partnerships with Sponsors, Service Providers, p1RCC Patients and Physicians. We are eager to hear from you, so please reach out to learn more about opportunities to participate in this event: pete@sv.ai.