Cycling through all six. Tap any point to stop.

Measured on six things

A free, AI-powered dashboard for cancer research, clinica...

Growth

0 GitHub stars, no review platform presence, and minimal community signals despite public API and recent content updates.

Screenshots

1 / 1

Cure Cancer With AI

About this app

Cure Cancer With AI is an ambitious project that aims to democratize cancer research. It's a free platform that aggregates the latest research papers, clinical trials, FDA approvals, and news, all accessible through an intuitive dashboard. What really sets it apart is the integration of advanced AI features, including a RAG-based knowledge graph for exploring semantically linked research, an 'Ask the AI' chatbot that explains complex topics in plain English, and even IBM's MAMMAL multimodal model for predicting protein-protein binding affinities. You can also track your well-being with daily check-ins and get personalized insights after logging in. For developers, there's a public REST API. It's a one-stop shop for patients, caregivers, and researchers alike. The fact that it's 100% free and has a shop to support the mission makes it even more commendable.

Key features

1Free public REST API and MCP server for oncology data (PubMed, trials, FDA approvals, news) plus IBM MAMMAL predictions.
2RAG-based knowledge graph, 'Ask the AI' chatbot, and daily well-being tracking with personalized insights.
3NCBI query tool, clinical trials near me, and non-profit directory all in one dashboard.

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

Cancer patients and survivors

Pain points

Overwhelmed by complex medical information; difficulty finding relevant clinical trials and support resources.

Primary needs

Easy-to-understand explanations, personalized treatment insights, and access to clinical trials.

Demographic

Caregivers and family members

Pain points

Struggle to keep up with the latest research; need reliable, curated information to support loved ones.

Primary needs

Simplified research summaries, daily well-being tracking, and alerts for new treatments.

Demographic

Cancer researchers and healthcare professionals

Pain points

Time-consuming literature search; need for advanced analytics and AI tools to accelerate discovery.

Primary needs

RAG knowledge graph, MAMMAL model predictions, NCBI query tool, and API access for data integration.

Scout Review

Written by AI from measured evidence, scored out of 100.

Cure Cancer With AI delivers a genuinely free aggregator of research papers, trials, news, and AI tools like the RAG knowledge graph and IBM MAMMAL model. It targets patients, caregivers, and researchers with personalized check-ins and an 'Ask the AI' chatbot, backed by a usable public API. The project is ambitious and mission-driven, but execution shows signs of an early-stage effort with login-heavy UX, average visuals, and almost no external validation or community.

Measure by measure

Usability

Free public API and developer docs provide clear value for builders, but core patient/researcher features sit behind mandatory login with high pre-auth information density.

Design

Average visual execution with legible color-coded charts and standout pink CTAs, but undermined by uneven card layouts, visible placeholders, and a future-dated check-in.

Speed

No performance complaints or benchmarks surfaced; homepage elements and forms render without reported lag in available data.

Security

HTTPS and basic DNS records (SPF/DMARC) in place, but missing common headers and any third-party audits or compliance claims.

Accessibility

No accessibility statements, WCAG mentions, or multi-language support found; high-density dashboard may challenge screen readers or low-contrast users.

Growth

0 GitHub stars, no review platform presence, and minimal community signals despite public API and recent content updates.

Improvement areas

Heavy login requirements block exploration of most dashboard features.
Visible placeholders, uneven layouts, and missing security headers reduce polish and trust.
Zero external reviews or community traction despite public API and recent updates.

Design & Usability

The dashboard mixes research tools with personal tracking in a visually busy layout that feels more like a prototype than a polished product. Color-coded charts stand out, but placeholder text and uneven card heights hurt the experience. Usability suffers from heavy login walls—most features tease value without delivering it upfront—yet the public REST API and OpenAPI spec are genuinely developer-friendly with clear endpoints for research papers, trials, and MAMMAL predictions. Free access is a strong point for patients and researchers, but the pre-login density makes exploration feel gated.

Speed & Security

Speed appears unremarkable with no complaints or standout benchmarks; the site renders charts and forms at typical web speeds. Security is basic—HTTPS and DNS records are present, but the absence of HSTS, CSP, and any audits keeps it in the lower-middle range. The free API uses token auth and includes a data disclaimer, which is responsible, yet the overall posture lacks the transparency expected for a health-related platform handling research data.

Accessibility & Growth

Accessibility has no documented support or testing, leaving the dense dashboard potentially challenging for diverse users. Growth is minimal: the GitHub repo shows zero stars and limited activity, with no presence on major review sites or launch platforms. Despite this, the project maintains recent blog and news content, a public API, and a clear free positioning with donation options, indicating steady if quiet indie development rather than viral traction.

Conclusion

For a zero-cost oncology dashboard with advanced AI features, it punches above its weight in intent. Real adoption will depend on improving onboarding, adding verifiable security practices, and building visible momentum beyond the current small footprint.

Suggestions for improvement

Add a public demo mode or sample data so users can explore features without creating an account.
Publish a security page or basic compliance notes to build trust for health data users.
Implement basic accessibility checks and document WCAG efforts on the site.
Promote the GitHub repo and API on Product Hunt or relevant communities to grow visibility.

How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

	Cure Cancer With AI	ClinicalTrials.gov	PubMed	Cancer.Net
AI-powered analysis and chatbot	Yes - RAG graph, Ask the AI chatbot, MAMMAL model	No	No	No
Free public API access	Yes - REST + MCP with free key, rate limits	Limited public data export	Yes - E-utilities API	No
Personalized well-being tracking	Yes - Daily check-ins and insights (login required)	No	No	No