AI for Cancer Treatment Planning
Expert-Level Cancer Treatment Planning,
Accessible Anywhere
AI-powered clinical decision support for oncology
The Problem
In oncology, the best patient outcomes come from multidisciplinary expert review—multiple specialists examining a case together and reaching consensus on the optimal treatment plan.
But this level of care is inaccessible to most patients.
The result: delayed diagnoses, suboptimal treatment plans, and preventable deaths—especially outside major metro areas.
Why This Matters to Me
Last year, my aunt was diagnosed with cancer. During staging, her MRI showed a lesion in her vertebra. The radiologist's report was ambiguous: "sclerotic change, possibly age-related, cannot rule out metastatic disease."
That single sentence was the difference between Stage II (curable) and Stage IV (incurable).
We were fortunate—through family connections, we got her case reviewed by top specialists. They concluded it was benign. She received curative treatment.
Most patients aren't that lucky. They don't have connections. They can't travel to metros. They can't afford multiple specialist consultations.
I'm building technology to change that.
What We’re Building
A proprietary AI system that delivers expert-level treatment recommendations for cancer patients—making world-class oncology decision support accessible regardless of geography or resources.
Faster Decisions
Reduce time from diagnosis to treatment plan from weeks to minutes
Consistent Quality
Evidence-based recommendations aligned with international standards
Local Context
Aware of drug availability, costs, and insurance coverage in India
Scalable Access
Expert-level care for tier-2/tier-3 cities and rural areas
Current Status
We have a working prototype and are actively seeking:
- Clinical validation partners — oncology departments interested in piloting
- Strategic investors — pre-seed stage, India-focused healthtech
Early Stage: Currently evaluated on synthetic cases. Seeking partnerships for clinical validation. Not yet approved for clinical use.
Who should reach out:
- Hospital oncology departments looking to augment capacity
- Healthcare systems interested in standardizing cancer care quality
- Oncologists in underserved areas seeking decision support
- Investors in healthtech / precision oncology
Disclaimer: Research prototype. Not for clinical use without physician oversight.