We are a small, passionate and dedicated team of entrepreneurs, scientists, engineers, and business angels with over 100 years of combined professional experience in Applied AI, mathematics, computer science, physics, risk engineering, public health, regulatory affairs, digital marketing and business development.
Our shared passion for disruptive innovation, responsible AI, and 6P medicine brings us together to fight and defeat cancer with a cross-disciplinary innovation at the crossroads of Applied AI, nuclear engineering, multi-scale risk modeling, computer science and health technologies, for integrated AI-assisted multi-year cancer risk prediction and early detection of weak signals.
What is Applied AI ?
Applied Artificial Intelligence (Applied AI) refers to the set of methods, models, and techniques from artificial intelligence that are implemented to solve concrete, real-world problems. It involves adapting algorithmic approaches, such as machine learning, natural language processing, and computer vision, to domain-specific data and operational constraints. Unlike fundamental AI research, applied AI focuses on robustness, efficiency, and real-world integration. It is inherently interdisciplinary, drawing on mathematics, computer science, engineering, and domain expertise. Applied AI plays a key role in the digital transformation of sectors such as healthcare, industry, environment, and society at large.
What is the concept of 6P medicine?
6P Medicine is an advanced healthcare model that integrates six key principles:
Personalized, Predictive, Preventive, Participatory, Evidence-based, and Population-based.
It aims to tailor care to individual profiles, anticipate and prevent diseases, actively involve patients, rely on scientific evidence, and address public health needs with precision and relevance.
What is the main challenge we face ?
Having worked extensively with industry and institutions throughout our careers, we have firsthand insight into the challenges of achieving reproducible, reliable AI predictions and performance. We understand the frustration caused by inconsistent and imbalanced data, black-box algorithms, risk uncertainties and late detection of rare events, we recognize how critical trust, accuracy and regulatory compliance are at every step of the AI implementation process.
What is the vision that drives us?
This deep understanding has convinced us that integrated multi-year risk prediction, early weak signals detection, multi-scale risk modeling and risk uncertainties quantification need to be associated with more robust and trustworthy AI-based solutions and multimodal imaging and signal integration technologies.
We are committed to addressing this pressing need, as industrial stakeholders increasingly demand integrated AI-based solutions that are more robust, trustworthy, and scalable across multiple levels, essential not only for advancing scientific research and development, but also for enabling integrated risk-informed AI-assisted medical decision-making and clinical research.
This conviction drives us every day, shaping and strengthening the foundations of the HOPE journey with Hope Valley AI.
Let’s HOPE together.
