iPhotoCult develops innovative and intelligent new solutions for safeguarding Cultural Heritage (CH).
The iPhotoCult Solutions consist of:
The iPhotoCult Solutions will enable and empower CH professionals to better
inspect, document, analyze, and monitor the materials condition of CH assets.
Tecreando’s Role: Tecreando co-develops the iPhotoCult cloud-based Software Services Platform (iSSP),
as well as the data acquisition and remote operation software.
Tecreando is also leading the design and implementation of the iPhotoCult commercialization strategy including
prototyping a solution for the market, the IP rights and freedom to operate in all major markets,
the definition of the Total Addressable Market, and the monitoring of potential competitors.
iPhotoCult develops innovative and intelligent new solutions for safeguarding Cultural Heritage (CH).
The iPhotoCult Solutions consist of:
The iPhotoCult Solutions will enable and empower CH professionals to better
inspect, document, analyze, and monitor the materials condition of CH assets.
Tecreando’s Role: Tecreando co-develops the iPhotoCult cloud-based Software Services Platform (iSSP),
as well as the data acquisition and remote operation software.
Tecreando is also leading the design and implementation of the iPhotoCult commercialization strategy including
prototyping a solution for the market, the IP rights and freedom to operate in all major markets,
the definition of the Total Addressable Market, and the monitoring of potential competitors.
Early dynamic screening System for colorectal cancer (CRC)
via novel protein biomarkers reflecting biological initiation mechanisms,
incorporating new technologies for CRC risk assessment, screening and progression,
as well as lifestyle and environmental factors and gauge the predictive power of investigated biomarkers and gene-expression profiling
to unveil molecular mechanisms of CRC development.
The system is supported by network modeling and AI-based DSS
for early primary CRC identification,
and in parallel is training a set of models on large volumes of primary CRC data
including in-situ and metastatic carcinomas.
Tecreando’s Role: Development and testing a state-of-the-art mobile app that leverages AI models and behavioral insights
to identify key risk factors of CRC, monitor them, and encourage healthier lifestyle choices.
Through the app’s intuitive UI, users can build a personal profile by answering questions about themselves and their habits.
These profiles serve as the foundation for receiving tailored
lifestyle recommendations and relevant educational content on CRC, curated by medical experts.
Repeated questions over time will monitor users’ evolving lifestyles,
rewarding healthy choices, pinpointing unhealthy trends,
and providing invaluable insights to healthcare professionals.
Early dynamic screening System for colorectal cancer (CRC)
via novel protein biomarkers reflecting biological initiation mechanisms,
incorporating new technologies for CRC risk assessment, screening and progression,
as well as lifestyle and environmental factors and gauge the predictive power of investigated biomarkers and gene-expression profiling
to unveil molecular mechanisms of CRC development.
The system is supported by network modeling and AI-based DSS
for early primary CRC identification,
and in parallel is training a set of models on large volumes of primary CRC data
including in-situ and metastatic carcinomas.
Tecreando’s Role: Development and testing a state-of-the-art mobile app that leverages AI models and behavioral insights
to identify key risk factors of CRC, monitor them, and encourage healthier lifestyle choices.
Through the app’s intuitive UI, users can build a personal profile by answering questions about themselves and their habits.
These profiles serve as the foundation for receiving tailored
lifestyle recommendations and relevant educational content on CRC, curated by medical experts.
Repeated questions over time will monitor users’ evolving lifestyles,
rewarding healthy choices, pinpointing unhealthy trends,
and providing invaluable insights to healthcare professionals.
Multi-Pillar Framework for children Anti-Obesity Behavior building on
an EU biobank, Micro Moments, and Mobile Recommendation Systems,
which makes optimal use (and re-use) of health data (e.g., biological, demographic, epigenetic, etc.)
to generate metadata/knowledge and provide new evidence, methodologies & tools for:
Tecreando’s Role: Tecreando brings expertise in developing and implementing cutting-edge solutions for optimal data utilization.
Design and implement robust frameworks for data handling, ensuring seamless integration of various health parameters.
Facilitate data harmonization and standardization to underpin
citizen awareness, lifestyle alteration, and the delivery of obesity prevention guidelines.
Multi-Pillar Framework for children Anti-Obesity Behavior building on
an EU biobank, Micro Moments, and Mobile Recommendation Systems,
which makes optimal use (and re-use) of health data (e.g., biological, demographic, epigenetic, etc.)
to generate metadata/knowledge and provide new evidence, methodologies & tools for:
Tecreando’s Role: Tecreando brings expertise in developing and implementing cutting-edge solutions for optimal data utilization.
Design and implement robust frameworks for data handling, ensuring seamless integration of various health parameters.
Facilitate data harmonization and standardization to underpin
citizen awareness, lifestyle alteration, and the delivery of obesity prevention guidelines.
Platform for transparent data processing and sharing,
enabling the research community to publish their work
with evidence-based authenticity of the data analysis performed,
ensuring at the same time the accreditation of their work,
following the FAIR Guiding Principles
(Findability, Accessibility, Interoperability and Reusability)
for scientific data management and stewardship.
Tecreando’s Role: To craft a cutting-edge monitoring system for the extensive RAI Node network in the RAISE framework.
Includes collecting analytics and delivering insightful visualizations, providing a deep understanding of
dataset usage, result/code reuse, and resource utilization across the network.
The module ensures real-time task monitoring, detects potential data breaches,
and offers a user-friendly graphical interface.
Beyond granting access to usage statistics, it empowers investigators with enhanced insights for creative data exploration.
The analytics provide both aggregated insights, crucial for policy formulation, and individual-level analysis,
adding a novel dimension to research quality and impact assessment.
Leading this pivotal task, Tecreando is instrumental in propelling RAISE towards
transparency, efficiency, and the future of open-access data processing,
shaping the evolution of research practices.
Platform for transparent data processing and sharing,
enabling the research community to publish their work
with evidence-based authenticity of the data analysis performed,
ensuring at the same time the accreditation of their work,
following the FAIR Guiding Principles
(Findability, Accessibility, Interoperability and Reusability)
for scientific data management and stewardship.
Tecreando’s Role: To craft a cutting-edge monitoring system for the extensive RAI Node network in the RAISE framework.
Includes collecting analytics and delivering insightful visualizations, providing a deep understanding of
dataset usage, result/code reuse, and resource utilization across the network.
The module ensures real-time task monitoring, detects potential data breaches,
and offers a user-friendly graphical interface.
Beyond granting access to usage statistics, it empowers investigators with enhanced insights for creative data exploration.
The analytics provide both aggregated insights, crucial for policy formulation, and individual-level analysis,
adding a novel dimension to research quality and impact assessment.
Leading this pivotal task, Tecreando is instrumental in propelling RAISE towards
transparency, efficiency, and the future of open-access data processing,
shaping the evolution of research practices.