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From Data to Diagnostics PAICON’s solutions towards oncology

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identify novel targets?

access diverse real world data?

develop new diagnostic algorithms?

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Our Focus: The Remaining84

Cost of Exclusion

Billions lost. Lives at risk. Diversity isn’t optional.

Cost of Exclusion

Billions lost. Lives at risk. Diversity isn’t optional.

When pharma skips diverse populations, the result isn’t just bias—it’s failure. Overlooked groups mean misdiagnoses, ineffective treatments, and failed drug launches, costing pharma billions. Can we afford to exclude 84% of the world?

Importance of Diversity

Genetics, epigenetics, environments—no two populations are the same.

Importance of Diversity

Genetics, epigenetics, environments—no two populations are the same.

Drug response varies by genetics and lifestyle. That’s why diverse data isn’t a nice-to-have—it’s a scientific necessity. Without it, we miss key biomarkers, leaving billions of people behind in the race toward precision medicine.

Remaining 84%

16% of the world dominates AI datasets. The other 84%? Left out.

Remaining 84%

16% of the world dominates AI datasets. The other 84%? Left out.

Caucasians make up just 16% of the global population—yet they represent 82% of AI training data in healthcare. That leaves most of the world invisible to the very tools meant to help us. The future of medicine can’t be built on exclusion.

AI for All

If the data’s not diverse, the decisions won’t be either.

AI for All

If the data’s not diverse, the decisions won’t be either.

AI is only as good as the data it’s fed. If that data isn’t inclusive, outcomes won’t be either. Bias in means bias out — and in healthcare, that leads to misdiagnoses, mistreatment, and lost lives. Diverse data isn’t optional—it’s essential.

Transforming lives through data

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Races

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Primary Sites

135

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Cases

3.2

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Files

PAICON’s Vision for Fair, Inclusive Cancer AI

What if cancer AI worked for everyone, not just a select few? Most cancer AI is built on data from just 16% of the global population, primarily from homogeneous, Western datasets. At PAICON, we’re closing the remaining 84% gap.
Our mission is to bring equity to cancer diagnostics by training AI on diverse, representative data from across the world. Whether you're exploring collaboration or simply curious about our work, our video will give you a quick understanding of our mission. Take a minute to see how we're challenging the status quo and contact us to explore how you can be part of the change.

Trusted By

Real world Results

Discover how AI is making the difference

Prof. Dr. Matthias Kloor

UKHD

"The PAICON AI Platform has been incredibly helpful in our AI research. Their expertise in machine learning has greatly enhanced our project discussions and their support in providing additional data has been invaluable. PAICON has allowed us to focus more on our research and less on technical details, making them a key partner in advancing our healthcare initiatives."

Tim Hellwig

Refined Laser

"We truly enjoy working with PAICON. The PAICON AI platform made it easy to integrate our data into a significant datalake and ensure it meets industry standards. This has allowed us to focus more on improving our models for finding region of interests in our images and less on the complexities of data integration and standardization. Their commitment to data integrity and clear communication aligns perfectly with our goals, making them an ideal partner for driving forward our R&D projects.“

Christoph Blattgerste

University Clinic Heidelberg

“For me and my team, the PAICON platform has provided valuable computing resources via a fully configurable virtual machine. After some initial tuning and friendly support from PAICON Team, the computing instance was easily accessible and highly configurable."