Independent Expert Assessment Validates RenovaroCube’s Potential as a Groundbreaking AI Platform Starting with Early Cancer Detection

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Renovaro Inc
Renovaro Inc

Assessment by specialist AI team from “PersonalAIze” Highlights the Strength, Potential, and Visionary Talent Behind the Innovative Software as a Service (SaaS) Platform

AMSTERDAM, Sept. 17, 2024 (GLOBE NEWSWIRE) -- (Nasdaq: RENB) - PersonalAIze, a cutting-edge company in AI and machine learning applications for healthcare, has conducted a comprehensive evaluation of RenovaroCube’s advanced AI platform. This effort is spearheaded by PersonalAIze CEOs and AI experts, Mark Hoogendoorn and Sandjai Bhulai, who bring their extensive expertise to assess the platform developed under the guidance of Frank van Asch, CTO and co-Founder of the technology on which RenovaroCube is based.

Prof. Mark Hoogendoorn, also a professor of Artificial Intelligence, expressed his enthusiasm: “We were pleased to be engaged to make an assessment of the AI platform; this is exactly the area of PersonalAIze’s expertise.”

Frank van Asch remarked on the collaboration, “The expertise of PersonalAIze’s team is exceptional, and their positive evaluation of our AI/ML platform is invaluable.”

RenovaroCube's AI platform has been advancing innovation for the past 12 years, evolving from its award-winning Fintech roots into a potentially groundbreaking multi-omic molecular differential system that identifies cancer in its earliest stages. It is an open platform that can be used as a SaaS by many private sector and academic or other large hospital and health systems. It is also disease agnostic, so it can be expanded for many purposes.

The initial aim is to transform cancer early detection and early detection of recurrence from a small vial of blood (liquid biopsy), potentially supporting clinicians to initiate treatments as soon as possible towards improved outcomes for patients.

In their analysis, PersonalAIze noted the platform's focus on liquid biopsies and third-generation sequencing coupled with AI techniques as highly promising, potentially allowing for comprehensive analysis across varying cancer types and stages. Prof. Sandjai Bhulai, also a professor of Mathematics, commented on the platform’s unique potential and the impressive multidisciplinary team at RenovaroCube under Frank van Asch’s leadership.

Based on these findings, PersonalAIze is eager to collaborate further with RenovaroCube to enhance and commercialize the platform.

PersonalAIze aims to contribute in several key areas:

  • Advancing AI models by leveraging the latest state-of-the-art techniques.

  • Supporting the professional growth of the software team.

  • Enhancing the explainability of AI models, engaging clinicians in model development.

  • Selecting optimal patient groups for data collection and evaluating models and final products in clinical settings.