Pioneering AI in Oncology

RudimentML x Oncology

We combine advanced machine learning with oncology expertise to develop innovative solutions for cancer detection, treatment, and research.

AI Innovation

Developing cutting-edge algorithms for cancer research and diagnosis

Interdisciplinary Approach

Combining expertise in AI, oncology, and data science

Global Collaboration

Working with partners worldwide to accelerate progress

Our Vision

Building the Future of Cancer Research

As a new organization at the intersection of machine learning and oncology, we're focused on developing groundbreaking approaches that could fundamentally transform how cancer is detected, understood, and treated.

Explore

Investigating new applications of machine learning for cancer research challenges

Innovate

Developing novel ML approaches tailored to the complexities of oncology

Impact

Translating research into practical solutions that improve patient outcomes

Our Mission

Accelerating Cancer Breakthroughs

We're dedicated to harnessing the power of artificial intelligence and machine learning to revolutionize cancer research, diagnosis, and treatment.

AI-Powered Analysis

Developing advanced algorithms to analyze complex medical data and identify patterns invisible to the human eye.

Precision Medicine

Creating personalized treatment approaches based on individual genetic profiles and cancer characteristics.

Drug Discovery

Accelerating the identification and development of novel cancer therapeutics through machine learning.

AI Innovation

Advancing Core AI Technology

We're not just applying AI to oncology — we're developing the next generation of AI tools that make our oncology research more powerful, efficient, and accessible.

Computational Efficiency

We're developing specialized model architectures that drastically reduce the computational resources needed for complex cancer prediction tasks.

  • Low-resource model training that cuts GPU usage by 60%
  • Model compression techniques for deployment on standard clinical hardware
  • Energy-efficient inference algorithms for real-time cancer screening
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Interpretable AI

Creating transparent AI systems that provide explainable results—essential for clinical adoption and researcher trust in oncology applications.

  • Novel attention visualization techniques for tumor identification
  • Counterfactual explanation frameworks for treatment recommendations
  • Human-AI collaborative systems for clinical decision support
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Small Data Learning

Developing techniques to train effective AI models on limited oncology datasets, addressing the critical challenge of data scarcity in rare cancer research.

  • Few-shot learning protocols for rare cancer identification
  • Synthetic data generation through advanced GANs
  • Transfer learning methods from common to rare cancer types
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Open AI Infrastructure

Building and sharing open-source AI tools that empower the broader oncology research community with accessible, cutting-edge technology.

  • TumorVision: our open-source medical imaging library
  • OncoBench: standardized benchmarks for oncology AI models
  • CancerML: pre-trained foundation models for cancer research
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Join Our Mission

Build The Future With Us

We're looking for talented individuals who are passionate about using AI to transform cancer research.

Join Our Growing Team

We're building a diverse team of researchers, engineers, and domain experts who are passionate about making a difference in cancer research through AI innovation.

  • Collaborate on cutting-edge AI oncology research
  • Work with cross-disciplinary experts
  • Help build technology that could save lives
View Open Positions

AI Researchers

Develop novel machine learning approaches for cancer data

Domain Experts

Bring oncology expertise to guide our AI solutions

Engineers

Build software and systems that make our research possible