Grand Prize: 1st Place

$1500 prize

Grand Prize: 2nd Place

$1000 prize

Grand Prize: 3rd Prize

$500 prize

Best Understanding of an Unmet Need

$500 prize

Stanford Biodesign is focused on educating and empowering health technology innovators to improve lives everywhere. Our need-driven approach to innovation emphasizes the importance of deeply understanding the problem and who you’re trying to solve it for BEFORE you begin inventing to ensure you develop technologies that delight your users and truly have a meaningful impact. For this reason, we will be sponsoring a $500 award for the finalist team that demonstrates the “Best Understanding of an Unmet Need.” The winner will be chosen based on how effectively you address the following questions:

· How well does your team understand the problem you’re trying to address, the population you’re trying to solve it for, and what improved outcome is most important to achieve?
· How effective was your team in using what you learned about the need to guide the development of your solution? Is there are strong linkage between the solution and what you learned about the need through your research?

PHIND Innovation Grand Prize

One $1000 prize and two $250 prizes.

The PHIND Center integrates continuous health monitoring data collected from multiple sources both on the body, and in one’s home. We also study the fundamental biology underlying early transitions from health to disease and the associated biomarkers (molecules) of health and early disease. The Center aims to fundamentally revolutionize healthcare leading to better and more productive lives for everyone. The goals of PHIND are to significantly advance and develop: 1) data analytics for risk assessment of future disease, 2) biomarkers for the transition from health to disease, 3) wearable/home health monitoring devices.

- Fundamental studies on the biology of disease initiation/progression to understand the earliest transitions from healthy humans, organs and cells to the diseased state
- Biomarkers to study the molecules that indicate healthy states and early signs of disease
- Diagnostic technology and information to accurately monitor and detect health changes early, such as collecting and analyzing information from multiple sources on the body and/or in the home, office or wider community
Note: The focus should be on precision health not medicine, thus therapeutics or experimental
drugs, are outside of this scope. The goal being, to keep healthy people healthy for as long as possible, and detect disease as early as possible.

Some suggested challenge themes:
1) How do we make these new approaches accessible and affordable?
2) How do we promote use and engagement? For instance, the average Fitbit user drops out within the first 3 months of use.
3) How do make these approaches user friendly for physicians?
4) How best do we start to integrate these approaches in current healthcare models/business models?

Prizes: We will be awarding $1,500 in prizes for hacks that tackle health problems within the scope of PHIND.
Grand Prize: (1) $1,000, (2) $250 prizes

Global Oncology (GO) Prize (2)

2 $250 Prizes

Global Oncology (GO) – globalonc.org – based in Boston and Palo Alto, is on a mission to improve access to cancer care for underserved patients worldwide. GO connects the global cancer community through projects like TheGOMap.org to share the most current data and practices in oncology, with the goal of earlier diagnosis and better treatment in low- and middle-income regions. GO is proud to award "The GO Prize" to a group demonstrating its innovative spirit towards this end.

Best Use of BetterDoctor API

T-Shirts for the Best Use of the BetterDoctor API

BetterDoctor is providing health++ participants access to their Provider and Practice datasets and APIs!

Information about the Better_Doctor API:
- Free API for Provider and Practice data http://bit.ly/2yzSSTX
- Sign up at: http://betterdoctor.com/developers/
- Live Documentation: https://developer.betterdoctor.com/documentation15

Intel Nervana AI Cluster Grand Prize

The Intel® Nervana™ AI Academy has donated FREE access to their exclusive AI Cloud Compute, powered by Intel® Xeon Phi, to all hackathon registrants. There will also be a technical representative at the Hackathon on Saturday to answer any questions!

You can learn more about how to get started with the cluster, what tools and frameworks are available and answers to common questions here.
To register NOW and get your own direct and instant access now to toy around with before the Hackathon this weekend, please use the following information:

Sign-Up URL: https://colfaxresearch.com/stanford-2017/
Passcode Required For Sign-Up: KQBS4A9Y
Access Timeline: Available through October 31stth 12:00PM PST
How-to guide: http://bit.ly/2gxvGPA

AND, as an added bonus, Intel® has also released their latest AI Cloud offering – Intel® DevCloud – for Students & Developers to assist you with your machine learning and deep learning training and inference compute needs. You can learn more here, and request access today.

Prizes:
1 DJi Phantom Drone with Intel Movidius Chip – The winning/gold level participant who uses Intel Nervana AI Cluster as part of their project

2 Amazon Echo Dots – The runner up/silver level participant who uses Intel Nervana AI Cluster as part of their project x 2

Persistent-Neodesign $1k prizes (2)

Supported by Persistent Systems, the Neodesign prizes will be given keeping in mind:
Innovation & Creativity,
Impact,
Scalability,
Relevance to real-world setting,
Functionality of the prototype.

VascTrac Data Hack Grand Prize

VascTrac Data Hack

Welcome to the VascTrac Data Hack! This challenge builds on a heavily curated dataset from a clinical study on cardiovascular disease. Here’s how it works:

Task: Build feature extraction and predictive models that use raw accelerometer data from two different devices: the iPhone and the ActiGraph (a research-grade accelerometer) to predict disease status (continuous variable)
We are providing you with random samples from the larger dataset. Build your models/algorithms on these training data.
Judges will then test your models on left-out test data to evaluate how they perform.
Judgment criteria will be based on the ScoreCard criteria on Page 4. Accumulate as many points as possible. The highest number of points win!
Judges are available throughout the competition for answering questions.

First place: $2250
Second place: $1750

See the full info packet at http://bit.ly/2zEdtVi

PHIND Innovation Runner-Ups (2)

One $1000 prize and two $250 prizes.

The PHIND Center integrates continuous health monitoring data collected from multiple sources both on the body, and in one’s home. We also study the fundamental biology underlying early transitions from health to disease and the associated biomarkers (molecules) of health and early disease. The Center aims to fundamentally revolutionize healthcare leading to better and more productive lives for everyone. The goals of PHIND are to significantly advance and develop: 1) data analytics for risk assessment of future disease, 2) biomarkers for the transition from health to disease, 3) wearable/home health monitoring devices.

- Fundamental studies on the biology of disease initiation/progression to understand the earliest transitions from healthy humans, organs and cells to the diseased state
- Biomarkers to study the molecules that indicate healthy states and early signs of disease
- Diagnostic technology and information to accurately monitor and detect health changes early, such as collecting and analyzing information from multiple sources on the body and/or in the home, office or wider community
Note: The focus should be on precision health not medicine, thus therapeutics or experimental
drugs, are outside of this scope. The goal being, to keep healthy people healthy for as long as possible, and detect disease as early as possible.

Some suggested challenge themes:
1) How do we make these new approaches accessible and affordable?
2) How do we promote use and engagement? For instance, the average Fitbit user drops out within the first 3 months of use.
3) How do make these approaches user friendly for physicians?
4) How best do we start to integrate these approaches in current healthcare models/business models?

Prizes: We will be awarding $1,500 in prizes for hacks that tackle health problems within the scope of PHIND.
Grand Prize: (1) $1,000, (2) $250 prizes

Intel Nervana AI Cluster Runner-Ups (2)

The Intel® Nervana™ AI Academy has donated FREE access to their exclusive AI Cloud Compute, powered by Intel® Xeon Phi, to all hackathon registrants. There will also be a technical representative at the Hackathon on Saturday to answer any questions!

You can learn more about how to get started with the cluster, what tools and frameworks are available and answers to common questions here.
To register NOW and get your own direct and instant access now to toy around with before the Hackathon this weekend, please use the following information:

Sign-Up URL: https://colfaxresearch.com/stanford-2017/
Passcode Required For Sign-Up: KQBS4A9Y
Access Timeline: Available through October 31stth 12:00PM PST
How-to guide: http://bit.ly/2gxvGPA

AND, as an added bonus, Intel® has also released their latest AI Cloud offering – Intel® DevCloud – for Students & Developers to assist you with your machine learning and deep learning training and inference compute needs. You can learn more here, and request access today.

Prizes:
1 DJi Phantom Drone with Intel Movidius Chip – The winning/gold level participant who uses Intel Nervana AI Cluster as part of their project

2 Amazon Echo Dots – The runner up/silver level participant who uses Intel Nervana AI Cluster as part of their project x 2

Persistent-Neodesign $500 prizes (2)

Supported by Persistent Systems, the Neodesign prizes will be given keeping in mind:
Innovation & Creativity,
Impact,
Scalability,
Relevance to real-world setting,
Functionality of the prototype.

Vasctrac Data Hack Runner-Up

VascTrac Data Hack

Welcome to the VascTrac Data Hack! This challenge builds on a heavily curated dataset from a clinical study on cardiovascular disease. Here’s how it works:

Task: Build feature extraction and predictive models that use raw accelerometer data from two different devices: the iPhone and the ActiGraph (a research-grade accelerometer) to predict disease status (continuous variable)
We are providing you with random samples from the larger dataset. Build your models/algorithms on these training data.
Judges will then test your models on left-out test data to evaluate how they perform.
Judgment criteria will be based on the ScoreCard criteria on Page 4. Accumulate as many points as possible. The highest number of points win!
Judges are available throughout the competition for answering questions.

First place: $2250
Second place: $1750

See the full info packet at http://bit.ly/2zEdtVi