CancerBase

How might we collect and leverage patient data to improve patients’ lives?

Collecting Data

CancerBase makes an impact

through their data.

CB needs more than just users. It needs a

community.

Branding is the way to a community.

National GeographicRed Bull

CancerBase’s current branding

Lack of uniformityLack of clarity

Process of Rebranding

Defining the Community

mbc patients

Caregivers

Oncologists

Cancer Advocates

Data scientists Primary

users

Secondaryusers

Understanding the Tools

Infusion MedMind Atom HP

CancerBase.orgSideEffects

What branding will be the most effective for CB in particular?

To do this we began researching and developing a brand feeling, logo, and typeface.

Branding Research

How can we create unified, welcoming, helpful brand that mbcp feel connected to?

Problem Definition:

Design Thinking is Iterative and Cyclical

We Need User Input

Interviews with patientsAsk about interpretation of branding & logos

Observe interaction with wireframes

Virtual ImmersionUse case: #BCSM twitter chat

We will observe themes or insights about what matters most to users by reading, exploring the threads of these posts.

Prototyping, Testing, & Implementing later….

This is what we will give you:

Branding guidelines for CancerBase and any current or future applications in the CB Ecosphere

A more effective website (as outlined by our design guidelines & problem statement)

Branding implementation for Atom-HP and MedMind

How might we leverage patient data to accelerate

discovery of patient treatment?

Who needs this data the most?

Patients● Care mostly about their

specific case

● Typically not experts

Oncologists● Follow NCCN guidelines

● Need to treat their

patients

Researchers● Develop treatments for

those who need it most

● Deep understanding of

disease

PATIENT DATA

NCCN GUIDELINES

DEVELOP NEW DRUGS

M-TSNE

High dimensional time series data

c

M-TSNE PARALLEL PLOTS

High dimensional time series data

c

M-TSNE PARALLEL PLOTS MARKOV CHAIN VISUALIZATIONS

High dimensional time series data

c

High dimensional time series data

M-TSNE PARALLEL PLOTS MARKOV CHAIN VISUALIZATIONS

c

M-TSNE PARALLEL PLOTS MARKOV CHAIN VISUALIZATIONS

High dimensional time series data

c

Needs:Highly interpretable visualizations

Drive decisions for new treatment development

Capable of deep insights

c

Next Steps:Immerse ourselves in the workflow of drug discovery researchers

Design prototypes

Build and implement a tool for Researchers

c

Questions

c