Our Technology

We are Transforming Cancer Care, One Patient at a Time

We are Transforming Cancer Care, One Patient at a Time

What is Gukiza?

Gukiza is Hurone AI’s flagship software platform designed to help cancer centers streamline patient care and improve outcomes through AI-driven patient navigation, monitoring, and workflow automation. From treatment planning to real-time monitoring, Gukiza empowers clinicians and patients with personalized, actionable insights.

What Does Gukiza Do?

 From treatment planning to real-time monitoring, Gukiza empowers clinicians and patients with personalized, actionable insights.

Patient Navigation Made Easy

-Guides patients step-by-step through their treatment plans.
-Delivers reminders, education, and support to improve adherence and engagement.
-Anticipates and addresses patient needs—before they become challenges.

Real-Time Monitoring and Alerts

-Tracks patient symptoms and side effects in real time via mobile and web platforms. -Automatically flags concerning changes, helping clinicians intervene early. -Reduces hospitalizations and improves the quality of remote care.

Personalized AI Treatment Recommendations

Leverages NCCN guidelines to generate evidence-based treatment options. Adapts recommendations to regional contexts and unique patient profiles. Gives clinicians confidence with transparent, explainable AI outputs.

Workflow Automation for Clinicians

Automates repetitive administrative tasks like scheduling and follow-ups. Reduces oncologist workloads by up to 50%, allowing them to focus on care. Optimizes staffing and resource allocation for better operational efficiency.

Diverse Data Integration

Built on federated learning, Gukiza uses data from underrepresented populations. Ensures solutions are inclusive, globally relevant, and HIPAA-compliant.

Why Choose Gukiza?

Improves Patient Outcomes

Proactively addresses patient needs and reduces complications.

Reduces Operational Costs

Cuts costs for resource-constrained centers by automating tasks.

Enhances Clinician Productivity

Frees up clinician time to focus on patient care.

For Cancer Centers

Improve operational efficiency, reduce costs, and enhance patient outcomes.

For Clinicians

Simplify complex treatment decisions with explainable AI insights.

For Patients

Stay informed, empowered, and supported throughout their cancer journey.
Floria Nyandaya

Research Fellow | Program Manager, Hurone AI

Floria Nyandaya is a physician-scientist dedicated to tackling health disparities in non-communicable diseases(NCDs) amidst Africa’s epidemiological transition. 

With a diverse background in primary clinical practice, healthcare management, infectious disease surveillance and NCD research, she has recently expanded her focus to digital health technologies. As a recipient of the Cardiometabolic Research Fellowship and the Thomas Francis Jr. Global Health Fellowship in her MPH program, Floria gained hands-on global health experience in the U.S., Nigeria, and Kenya. 

Her research endeavors have been multifaceted, from advancing women’s cardiovascular health to exploring the utility of artificial intelligence in enhancing renal and cancer care and addressing diversity gaps in clinical trial research. Continuously driven by her passion for making a tangible difference, Floria remains dedicated to improving the health and well-being of underserved populations.

 
Marko Stanojević

Engineering Product Manager, Hurone AI

Marko is the Engineering Product Manager at Hurone AI. He has a Bachelor of Science in Computer Science from the Belgrade Institute of Technology. His expertise in software engineering and product development plays a key role in Hurone AI’s success.

Marko’s ability to bridge technology and user experience has been vital in driving the launch of Hurone AI’s innovative products. His collaborative approach and adaptability ensure that the company’s solutions meet the highest standards.

Outside of work, Marko is passionate about technology and stays updated on the latest industry trends. His commitment to continuous learning makes him an invaluable asset to the Hurone AI team.