Care without confirmation.
Barriers to affordable, convenient care can encourage self medication and delay care. Limited testing can leave treatment guided by symptoms or assumptions rather than diagnostic evidence.
From ordering diagnostic tests to understanding results and coordinating follow up testing, our proposed AI Agent aims to help patients and healthcare professionals make informed decisions and take action.
Diagnostic testing is fundamental to modern medicine. Yet too many patients and clinicians lack the information they need.
In countries with low and lower middle incomes, only about 19% had access to these tests, excluding tests for HIV and malaria.
Barriers to affordable, convenient care can encourage self medication and delay care. Limited testing can leave treatment guided by symptoms or assumptions rather than diagnostic evidence.
Without timely, reliable results, clinicians face greater diagnostic uncertainty, with risks of missed diagnoses, inappropriate treatment, and delayed intervention. Medical brain drain adds further pressure.
Carmensa Health aims to help close this gap through a personal AI diagnostic agent: making testing more accessible, results easier to understand, and evidence informed decisions more achievable.
Evidence: Lancet Commission on Diagnostics (2021); antibiotic self medication reviews (2023) and (2025).
To empower patients and clinicians with intelligent technologies that enhance decision making, strengthen healthcare delivery, and improve patient outcomes in resource-limited countries.
We are imagining a future where our technology evolves into a super intelligent AI that amplifies clinical judgment, personalizes decisions, and continuously adapts to new knowledge, ensuring quality healthcare is accessible to everyone.
Bring useful clinical information closer to the point of care.
Help patients and clinicians understand diagnostic information.
Support informed decisions and follow up coordination.
Research ambitions, not proven capabilities. AI complements clinicians and essential testing.
Trillion Cells is seeking clearance and institutional collaboration for an on site study in Liberia to identify diagnostic decision making challenges.
Availability, affordability, and logistics.
Expertise, tools, and diagnostic uncertainty.
Where intelligent systems could help most.