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Email
info@acellushealth.ai
Ai-powered cancer solutions
Data overload and healthcare disparities are prevalent in cancer care. Solutions are needed for better care delivery.
About Acellus Health
Acellus Health was founded in 2021 with a shared mission: to combat cancer with technology. We firmly believe in a future where cancer care and AI are intertwined, elevating healthcare to new standards. We dare to imagine a scenario where AI can enhance human connections.
Harnessing the complexity of physician decision-making, treatment pathways, and cutting-edge research to provide synthesized insights for informed care decisions.
Assisting patients with personalized information about their condition, guiding through the treatment journey, and offering support.
Utilizing detailed health profiles, genomic data, and treatment outcomes to predict patient-specific outcomes and identify ideal candidates for tailored treatments or clinical trials.
Map the complete patient journey with unified data. Integrate EHRs, patient-reported outcomes, and treatment data to enhance care delivery and patient engagement.
Mitigating AI and care biases for equitable optimal care access regardless of background. Complies with CMS for navigating and billing SDoH assessments.
Partner with Acellus Health
We seek collaboration with like-minded organizations who share our commitment to advancing AI in cancer care. That's why we're actively seeking partners who bring diverse expertise, resources, and perspectives to the table. Whether you're a healthcare provider looking to integrate AI into your practice, a technology company with innovative solutions, or a research institution pushing the boundaries of medical science, we invite you to join us on this journey.

Let's revolutionize cancer care together.
Become a partner
We bring together expertise for pioneering solutions
Eshan Agarwal
Technology Advisor
Peg Squier
MDe PhD Board Advisor
Steven Sobieski
Financial Advisor
discover Open Positions
Precision and Clarity
Ensuring our models accurately assess cancer data with consistent results across users.
Bias Detection
Developing AI models that are unbiased and equitable, free from discrimination against any group or individual.
Patient-Centric Approach
Tailoring recommendations to each patient's level of medical understanding and adjusting outputs professionally and effectively.
Privacy and Integrity
Safeguarding data usage for its intended purposes, prioritizing confidentiality and data integrity.
Time Efficiency
Assessing time saved by the AI model in tasks such as diagnosis, medical image analysis, or patient data interpretation, comparing it with traditional methods.
Cost-Effectiveness Analysis
Evaluating the cost savings or efficiency gains of the AI model, including reduced need for additional tests, faster diagnosis, or improved treatment planning.
The benefits
Benefits to physicians, patients, and the healthcare system
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