Project Overview
Certis Oncology is a platform that utilizes artificial intelligence and modeling to predict cancer drug efficacy. They focus on developing targeted cancer therapies that aim to improve patient outcomes through precision science.
In this project, we explored how cohesive digital design can help translate complex oncology research into accessible, trustworthy narratives for oncology researchers and patients.
My task was to design their CertisOI, CertisAI, and User Guide web pages to take existing low-fidelity designs to professional, usable layouts.
Redesigned an AI pipeline interface for oncology research analysis software
ROLE
Web Designer
TIMELINE
October - December 2025
TEAM
2 PMs
2 designers
5 developers
SKILLS
Figma
Prototyping
Certis Oncology
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Mon Jun 10 9:41 AM
Tx. Subject
Subject Therapeutic
Response Predictions
Select cancer type
Pancreatic 001
panc_forward.fastq
panc_reverse.fastq
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Cancer Type
Cancer Subtype
Age
Sex
Biopsy Site
Notes
Start Run
Primary
Metastatic
CERTIS
I
TM
2
John Doe
CertisOI Assistant
CertisAI Predictions
Recent Runs
Brain 001
In Progress
Brain 002
Failed
INV 001
Completed
Run Usage:
50%
Tx. Subject
INV 001
Status
Sort
Filter
Download
Pipeline Steps
Mono therapy response across cancer types
CERTIS
AI
TM
2
Mono Therapy
Combo Therapy
Compound Name
Subject Name
Catalog
Prediction
10 of 1200 results
John Doe
CertisOI Assistant
CertisAI Predictions
Recent Runs
Brain 001
In Progress
Brain 002
Failed
INV 001
Completed
Run Usage:
50%
Web Design
Final Deliverables
As per client request, this project had limited research portions, focusing more on cultivating designs that could be utilized in creating their newly developing software.
Certis OI is the front facing chat interface that users interact with to access information about oncology specific insights and charts.
CERTIS OI
Search chats
New Chat
Saved Chats
Recent chats
Tumor Growth Analysis
Patient Data Query
New Drug Efficacy
Pinned Insights
Key Findings from Q2....
Metastatis Prediction....
CERTIS
ONCOLOGY
Oncology Intelligence
John Doe
johndoe@email
Send a message to CertisOI
Powered by Certis Oncology Intelligence. May produce inaccurate information about people, places, or facts
John Doe
CertisOI Assistant
CertisAI Predictions
New Chat
Recent chats
Tumor Growth Analysis
Patient Data Query
New Drug Efficacy
CERTIS
I
TM
Send a message to CertisOI
Model Catalogs:
Certis Oncology
CCLE
John Doe
Chat Usage:
50%
Create a violin plot of predicted response to Vorinostat across all cancer types.
CERTIS
I
TM
Here is a violin plot showing the distribution of predicted response (z-score) to Vorinostat across all cancer types in the dataset.
How did CertisOI generate this?
Analyze the relationship between predicted response for this drug and
TMB values for neuroendocrine models.
CERTIS
I
TM
The analysis of the neuroendocrine models shows a strong negative correlation (Pearson r = -0.80, p = 0.11) between tumor mutational burden (TMB) and predicted response to Vorinostat. This suggests that, in this small sample TMB may be associated with lower predicted response to Vorinostat, though the result is not statistically significant (p > 0.05).
Search chats
New Chat
Saved Chats
Recent chats
Tumor Growth Analysis
Patient Data Query
New Drug Efficacy
Pinned Insights
Key Findings from Q2....
Metastatis Prediction....
CERTIS
ONCOLOGY
Oncology Intelligence
John Doe
johndoe@email
Send a message to CertisOI
Powered by Certis Oncology Intelligence. May produce inaccurate information about people, places, or facts
Create a violin plot of predicted response to Vorinostat across all cancer types.
CERTIS
I
TM
Here is a violin plot showing the distribution of predicted response (z-score) to Vorinostat across all cancer types in the dataset.
How did CertisOI generate this?
Analyze the relationship between predicted response for this drug and
TMB values for neuroendocrine models.
CERTIS
I
TM
The analysis of the neuroendocrine models shows a strong negative correlation (Pearson r = -0.80, p = 0.11) between tumor mutational burden (TMB) and predicted response to Vorinostat. This suggests that, in this small sample TMB may be associated with lower predicted response to Vorinostat, though the result is not statistically significant (p > 0.05).
Design System
COLORS
MAIN COLORS
#D31E25
#FFFFFF
#BABCBC
#3B3B3B
#000000
SUPPLEMENTARY COLORS
#FFF7A1
#BBF7D0
#FE716F
#F7F2E4
TYPOGRAPHY
Helvetica Neue
Heading 1
Heading 2
Label
Paragraph
AaBbCcDd
BUTTONS
SMALL
Default
Hover
Start Run
Start Run
TAGS
Primary
Primary
Primary
BUTTON TYPES
Run Usage:
50%
Certis AI is the technology behind Certis OI, allowing teams to run and evaluate oncology models and accelerate drug discovery and development. Users can initiate new drugs runs, re-run models as they evolve, and review their completed or failed runs. This software acts as an aid to researchers to help inform their next steps.
CERTIS AI
Tx. Subject
INV 001
Status
Sort
Filter
Download
Pipeline Steps
Mono therapy response across cancer types
CERTIS
AI
TM
2
Mono Therapy
Combo Therapy
Compound Name
Subject Name
Catalog
Prediction
10 of 1200 results
John Doe
CertisOI Assistant
CertisAI Predictions
Recent Runs
Brain 001
In Progress
Brain 002
Failed
INV 001
Completed
Run Usage:
50%
Tx. Compound
Compound Therapeutic
Response Predictions
Run Name
Compound SMILES
Notes
Start Run
CERTIS
AI
TM
2
John Doe
CertisOI Assistant
CertisAI Predictions
Recent Runs
Brain 001
In Progress
Brain 002
Failed
INV 001
Completed
Run Usage:
50%
This guide offers a high-level introduction to Certis AI, showcasing example workflows, available models, and the datasets that inform oncology intelligence. Some information has not been disclosed by the client and therefore some screens may display a placeholder image.
USER GUIDE