1. What is Gukiza?

Gukiza is Hurone AI’s dual-interface remote patient monitoring platform designed to enhance cancer treatment and clinical trial processes, ensuring a seamless interaction for both patients and doctors.

  1. How does Gukiza support cancer centers?

Gukiza aids in real-time patient data monitoring, swift personalized treatment interventions, and reduces the need for off-duty calls and crowded clinics, ultimately streamlining the patient care process for oncologists.

  1. How can a cancer center license Gukiza?

To discuss licensing, reach out to our partnerships team at partnerships@huroneai.com and we’ll guide you through the process.

  1. Is Gukiza customizable to fit the specific needs of our cancer center?

Yes, Gukiza can be tailored to match your center’s unique requirements, ensuring it integrates smoothly with your existing systems and practices. 

  1. What kind of support can we expect post-implementation?

Our dedicated team offers continuous technical support, training, and updates, ensuring Gukiza aligns with your evolving needs.

  1. Is patient data secure with Gukiza?

Absolutely. Gukiza adheres to all major health data privacy standards, starting with HIPAA in the U.S., ensuring patient data remains confidential and secure.

  1. How can Gukiza support the clinical trial process for pharma companies and CROs?

Gukiza utilizes a proprietary large language model, trained on vast open-source patient databases, to refine cohort selection, enhance adverse event monitoring, and deliver comprehensive analytics. This optimized approach expedites the clinical trial process. To bolster this, we offer a thorough clinical trial readiness assessment, spotlighting our global partner sites. Often underutilized, these sites not only expedite trial completion but also provide valuable insights into safety and efficacy for diverse, underrepresented populations.

  1. How does the platform ensure diverse representation in clinical trials?

Gukiza taps into a wealth of oncology data, particularly from often overlooked and underrepresented populations. By doing so, it actively broadens and diversifies participant inclusion in clinical trials, ensuring a more holistic and representative approach.

  1. Is Gukiza compliant with regulatory requirements?

Yes, Gukiza adheres to major clinical trial standards and regulations, ensuring data collection, management, and analysis are up to par.

  1. Can Gukiza be integrated with other data management systems?

Certainly. Gukiza is designed for compatibility and can integrate seamlessly with existing data systems.

  1. Does Gukiza support multicenter trials across geographies?

Indeed, Gukiza adapts to regional clinical protocols, making it suitable for multicenter trials across various regions.

  1. How can Gukiza aid in patient recruitment for trials?

Gukiza’s tools and proprietary large language models automates cohort discovery and streamlines patient recruitment, making the process more efficient.

  1. Does Gukiza support real-world evidence (RWE) data collection?

Yes, Gukiza can capture patient-reported outcomes and other real-world data points for RWE studies.

  1. How does Gukiza ensure data security during clinical trials?

We emphasize data security through encryption, role-based access controls, and periodic security audits.

  1. Who should we contact for a demonstration or potential collaboration?

Reach out to our business development team at partnerships@huroneai.com to initiate a discussion or schedule a demo.

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.