GoVertical presents

Vertical ML/AI Startup Creation Weekend

Hosted by Madrona Venture Labs & TiE Seattle

As a free benefit for participants, we would like to extend an invitation to the Amazon SageMaker workshop on Feb 14 from 1p-5p.


As a free benefit for participants, we would like to extend an invitation to the Amazon SageMaker workshop on Tue, Apr 24 from 2:30-4:30pm.


Health & wellness resources

Welcome to the Health & Wellness vertical page! In order to make the most of the time the weekend of the event, please review our key educational materials and data sets. 

Be Prepared! Start thinking through what types of data could power your business and product ideas. Often times a combination of multiple, disparate data sets can yield the most ingenious ideas and solutions!

Panel videos

The following videos were recording during the April 19 Panel event. You may wish to reference them in preparation of the weekend ML event.

ML Panel moderated by Dan Weld. Panelists: Xin Luna Dong, Yejin Choi & Kevin Jamieson


VC Panel moderated by Jay Bartot. Panelists: Tim Porter, Mike Miller, Pradeep Rathinam & Ankur Teredesai


Sector analysis

Vertical description

The best description of this category is a list of the 10 sectors identified by the Global Wellness Institute: alternative and complementary medicine; beauty and anti-aging; fitness and mind-body; healthy eating, nutrition and weight loss; preventive and personalized health; spa; thermal and mineral springs; wellness real estate; wellness tourism; and workplace wellness.

How big an opportunity space is this, how is it growing, and what’s driving that growth?  

The global wellness market is worth $3.4T making it roughly three times the size of the pharmaceutical industry. This market has been growing at 5% annually. The growth is driven by a growing middle class that is more health conscious.

What are the segments/pockets?

What are driving trends?

Workplace wellness, Personalized Medicine, Spa Economy, and Wellness Real Estate is expected to grow at the highest rate.

A growing middle class, personal health accountability, social media, and the internet has led to massive segments and spending growth in this industry.

What has been the VC investing trend in this category?  

What is the technology spend and trend in this category, or the revenue growth rate of companies in the category (whichever is applicable)?

Traditionally health and wellness has been a reactive industry not embracing technology first. Technology is being adopted but slower than other industries.

Last 2 years revenue growth rates

What are the proof points that success may be rewarded?

At a high level, what problems are there to be solved using technology?  

What current trends are driving change in this category?  

How specifically can ML/AI change the game in this category?  

Investment hypothesis / rationale

This is a space where consumers don’t know they want something until a business provides it. There are strong opportunities in several categories that we can find utilizing education and technology.

What adverse conditions / headwinds are there for a play in this space? What makes it difficult?

Data sets

Your novel business idea should be grounded in real-world data with plausible machine-learning/analytics on top. We've compiled a collection of datasets from which to gain inspiration. Note that you are not restricted to basing your idea on the data sets below. You may discover other open source data sets that inspire your creativity or you may bring your own proprietary data sets if you wish.

Many of the datasets below are from Kaggle, Figure-Eight (Crowdflower), Data.World, etc. The advantage of these datasets is that many have been cleaned and normalized and are ready to be explored with ML and data science tools. Note that the use of these datasets is often intended for research purposes only. Be sure to read any associated license agreements to understand if there are commercial restrictions if you plan to continuing using the data after the workshop is over.

Sample Data Sets

300k medical appointments and its 15 variables of each, including whether the patient shows up or not.

Idea: Design a product for doctors offices that predicts whether a patient will show up or whether there is a particular time slot that they are more likely to show up to. How would you integrate your technology into existing scheduling systems? What would you have to offer to displace a legacy scheduling system?

National Cancer Institute - Cancer Statistics Query Tool

WONDER online databases utilize a rich ad-hoc query system for the analysis of public health data.

Survey on Mental Health in the Tech Workplace in 2014

Predicting doctor attributes from prescription behavior

This site provides direct access to the official data from the Centers for Medicare & Medicaid Services (CMS) that are used on the Compare Websites and Directories

The Human Mortality Database (HMD) was created to provide detailed mortality and population data to researchers, students, journalists, policy analysts, and others interested in the history of human longevity

How inpatient hospital charges can differ among different providers in the US

Idea: A service that allows you to input your medical treatment received during a hospital stay and determine whether the bill you get is within an acceptable range.

United States Mortality Rates by County 1980-2014

What does your exercise pattern fall into?

Idea: Design a product that analyzes not just how much people do a particular activity, but how well they do it. Are they consistent? Are they in danger of of hurting themselves?

Idea 2: Is there a way to connect exercise patterns with improved health outcomes or longevity. Can you design the most efficient workout for someone given a desired goal -- weight loss, lower blood pressure, lower cholestorol, etc?

Human Activity Recognition Using Smartphones Data Set. See this blog article, "Predicting physical activity based on smartphone sensor data using CNN + LSTM" for ideas on how to use this dataset

Over 112,000 Chest X-ray images from more than 30,000 unique patients