The role of Knowledge Discovery (DryICE) in the iHelp Project
As the world became more data-driven with an endless amount of data available to work with, the importance of data analysis is
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iHelp Partner introduction – Innovation Sprint
We will start our series of interviews with the individual partners of the iHelp Project. The main goal of this series is
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Primary Care & doctors specialising in Digestive, Preventive Medicine, Oncology, & Emergencies
The teamwork in the iHelp project at Denia Marina Salud Hospital is made up of a multidisciplinary team of technical professionals specialising
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Risk prediction model with integrated risk factors on the genomic biomarkers and the biological age
Pancreatic cancer is the 7th leading cause of cancer-related mortality and the 12th most common cancer globally. Many studies have discovered risk
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Tool for Enhancing the Medical Professionals Capability for Pancreatic Cancer Risk Detection
From the cradle of medicine and throughout the development of medical art has been proved that the best treatment is the early,
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Developing Risk Prediction Models and evaluation of Interventions that can Delay / Early detect the Onset of Pancreatic Cancer
The pilot program of our partner Taipei Medical University (TMU) is to predict people at high risk for pancreatic and liver cancer
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Toxicity risk assessment in pancreatic cancer patients – a digital trial using iHelp framework
The iHelp project purpose is to develop a personalised healthcare framework that allows an early detection and mitigation of the risks associated
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The role of Karolinska Institutet in the iHelp project
The team from KI is led by Tanja Tomson, head of the Prevention, Policy and Practice (PPP) Unit at the Department of
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The Role of Enhanced Semantic Interoperability in the Healthcare Domain
Data have long been a critical asset for organizations, businesses, and governments and their analysis is of major importance for every stakeholder
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