@iHelp_Project profile picture
iHelp_Project @iHelp_Project

H2020 Project #iHelp delivers a novel personalised-healthcare framework that uses #AI & #BigData for early identification and mitigation of #PancreaticCancer

Joined January 2021
  • Tweets 129
  • Following 55
  • Followers 92
32 Photos and videos
🌍🎗 February 4th: World Cancer Day A day dedicated to promoting awareness about preventing, detecting, and encouraging action against cancer. Let's stand together, spread knowledge, and support those affected. #WorldCancerDay #CancerAwareness #iHelp
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🌟 Proud Moment for @iHelp_Project! 🌟 Thanks to UPRC and Siemens, @iHelp_Project contributed to the AIOTI paper on sustainable health systems in Europe. 🔗 Read here: bit.ly/41D2Xgf #iHelpProject #AI #IoT #EdgeComputing #SustainableHealthcare #Innovation

IoT, Edge Computing and AI supporting sustainable health systems in Europe

AIOTI WG Health published the paper IoT, Edge Computing and AI supporting sustainable health systems in Europe. This paper examines the roles and integration of the […]

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Interested in @iHelp_Project's work on semantic interoperability with health ontologies? Watch HSbooster.eu at the 57-minute mark for a presentation by our partner, the IDERHA project.👇 bit.ly/4cE5WHy #iHelp #HSBooster #IderhaProject #SynergyProjects
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🌐 Highlighting Progress: 12th iHelp Consortium Meeting 🌐 🗓️ June 18-19 | Brussels As we wrapped up our final consortium meeting, here's a quick recap: 🎯 Achievements: Addressed key milestones & prepared for the 3rd Project Review.
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📖 Narrative: Refined the project’s narrative to showcase iHelp’s healthcare impac 🚀 Pilots: Highlighted strong results & integration of the platform. 💼 Beyond the Project: Crafted a strategic plan for iHelp’s future impact.
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🙌 Thanks to all partners for your unwavering support & collaboration! #iHelpConsortium #HealthcareInnovation
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Explore the future of healthcare with the iHelp Framework! From AI-powered personalized health predictions to cutting-edge data analytics, we are transforming cancer care & more. Learn more 👇 bit.ly/3yUVTiQ #iHelpFramework #HealthcareInnovation #AI #PersonalizedMedicine

The Innovation of iHelp components

Up to 30% of the world's stored data is currently generated by healthcare systems. However, the healthcare sector is lagging in realizing its potential: it is a

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Delve into the iHelp Framework transforming healthcare! Discover how AI&data integration are revolutionizing personalized medicine. Explore its market impact, competitive edge, and sustainability strategy. Read more: bit.ly/4coFH8d #HealthcareInnovation #AIinHealthcare

The Innovation of the iHelp Framework

Up to 30% of the world's stored data is currently generated by healthcare systems. However, the healthcare sector is lagging in realising its potential: it is a

ihelp-project.eu
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Pavlos Kranas (LXS) will represent @iHelp_Project at the first @comfortage_eu Open Day event in Valladolid on June 13th.He will present "Leveraging Integrated Healthcare Data towards Enhanced Clinical Knowledge". Stay tuned! #COMFORTAGE2024 #iHelp #AIinHealthcare #DigitalHealth
COMFORTage | Horizon EU Project@comfortage_eu
4 Jun 2024
⚠UPDATE COMFORTage Open Day Event 🔔 📅 13 June 📍 Valladolid 🔗 REGISTER HERE: inscribirme.com/comfortage-o… Don't miss out! #Europeanproject #dementia #frailty #CognitiveHealth #AI #Innovation #Networking #COMFORTageProject #COMFORTage
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Exciting news! @Gmanias3 & Rostislav Kostadinov will represent @iHelp_Project at the Neurocare Conference on June 7th! George will discuss AI and Big Data in care, while Rostislav explores healthcare professionals' views on digital tech. Stay tuned!
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View the program here.👉bit.ly/3Vt6quG #Neurocare2024 #iHelp #AIinHealthcare #DigitalHealth #Innovation
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Excited to announce #UPRC's publication presenting an innovative approach for cleaning, qualifying, and standardizing healthcare data, enhancing personalized risk assessments. Learn more 👉bit.ly/3Vngy8c #HealthcareInnovation #DataScience

An Enhanced Standardization and Qualification Mechanism for Heterogeneous Healthcare Data

Our research paper entitled “An Enhanced Standardization and Qualification Mechanism for Heterogeneous Healthcare Data” has been published in the context of the Proceedings of MIE2023 “Caring is...

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Proud to announce #UPRC's publication featuring an ML-driven workflow to predict pancreatic cancer risk using big data. Advanced models like Random Forest and XGBoost boost prediction accuracy. Learn more 👇 bit.ly/3wXTIdI #ML #BigData #Healthcare

An Evaluation of Machine Learning Models coupled with Powerful Big Data Techniques in the Case of...

Our research paper entitled “An Evaluation of Machine Learning Models coupled with Powerful Big Data Techniques in the Case of Pancreatic Cancer” has been published in the context of the Proceedings...

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Excited to share #UPRC's publication! An optimized pipeline is developed to enhance the accuracy and interoperability of healthcare data, leading to better Holistic Health Records (HHRs). Read more 👇 bit.ly/3VmLcOI #HealthTech #DataStandardization

An Optimized Pipeline for the Processing of Healthcare Data towards the Creation of Holistic Health...

Our research paper entitled “An Optimized Pipeline for the Processing of Healthcare Data towards the Creation of Holistic Health Records” has been published in the context of the Proceedings of 2023...

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Check out #TMU's paper in “Current Oncology” journal which reveals AI's future impact on cancer care, enhancing grading, classification, and early detection. Key challenges include data standardization and ethical issues. Learn more 👇 bit.ly/4bRG7nd #CancerResearch #AI

Future of Artificial Intelligence Applications in Cancer Care: A Global Cross-Sectional Survey of...

Our research paper titled “Future of Artificial Intelligence Applications in Cancer Care: A Global Cross-Sectional Survey of Researchers” has been published in the journal “Current Oncology”. Our...

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Exciting News! Check out #UPRC's publication on "EverAnalyzer," a smart Big Data management platform, now in "Information" journal! Discover how it optimizes data processing with 80% accuracy. Learn more 👉bit.ly/3KoAocR #BigData #DataScience #AI #UPRC

EverAnalyzer: A Self-Adjustable Big Data Management Platform Exploiting the Hadoop Ecosystem

Our research paper entitled “EverAnalyzer: A Self-Adjustable Big Data Management Platform Exploiting the Hadoop Ecosystem” has been published in the Journal “Information”, IF: 3.1. The purpose of...

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Our #TMU paper on Virtual Reality in medical education & clinical care is published in “Digital Health” journal! Discover how Virtual Reality improves training & enhances patient treatments. Discover more 👉bit.ly/3QZps92 #DigitalHealth #VirtualReality #MedicalEducation
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#UPRC's paper on advanced data processing for pancreatic cancer is now in "Sensor" journal! Discover how we enhance personalized healthcare. Learn more 👉 bit.ly/3X2bbwf #HealthCare #ML #PersonalizedMedice

Advanced Data Processing of Pancreatic Cancer Data Integrating Ontologies and Machine Learning...

Our research paper entitled “Advanced Data Processing of Pancreatic Cancer Data Integrating Ontologies and Machine Learning Techniques to Create Holistic Health Records” has been published in the...

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Check out #TMU's paper in "Cancers" journal, detailing how mobile apps improve patient management and quality of life with real-time monitoring and personalized treatment. Learn more 👉bit.ly/452FhSf #CancerResearch #DigitalHealth #PatientCare

A Scoping Review and a Taxonomy to Assess the Impact of Mobile Apps on Cancer Care Management

Our research paper titled “A Scoping Review and a Taxonomy to Assess the Impact of Mobile Apps on Cancer Care Management” has been published in the journal “Cancers”. Our research provides a compre...

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Check out the blog post on the #UPRC paper, "iHELP: Personalized Health Monitoring & Decision Support Using AI & Holistic Health Records." Discover how iHELP is transforming #PancreaticCancer care with AI & data integration. 🔗bit.ly/450Stah #AI #PancreaticCancer

iHELP: Personalized Health Monitoring and Decision Support Based on Artificial Intelligence and...

Our research paper entitled “iHELP: Personalised Health Monitoring and Decision Support Based on Artificial Intelligence and Holistic Health Records” has been published in the context of the Procee...

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