CHIC Project Survey: Your Opinion Counts

The EU-funded CHIC project (Computational Horizons In Cancer: Developing Meta- and Hyper-Multiscale Models and Repositories for In Silico Oncology) proposes the development of clinical trial driven tools, services and secure infrastructure that will support the creation of multiscale cancer hypermodels (integrative models). The latter are defined as choreographies of component models, each one describing a biological process at a characteristic spatiotemporal scale, and of relation models/metamodels defining the relations across scales. Integrative models can become component models for other integrative models. The development of a secure hypermodelling infrastructure consisting primarily of a hypermodelling editor and a hypermodelling execution environment is a central generic VPH geared objective of CHIC.

To understand the views, opinions and expectations of citizens and patients about the cancer models/hypermodels a short survey was developed, it will help to optimize research in this area. A short survey video will present the hypermodel developed for nephroblastoma, the most common kidney cancer in children. It will answer the question if preoperative chemotherapy will shrink the tumor before surgery. The prediction of this hypermodel may then be used for helping the physician to apply the best treatment for a patient with nephroblastoma.

The survey video is followed by a short questionnaire consisting of two main parts. The first part is asking demographic questions and the second part is related to the understanding of hypermodels. Your answers are anonymous and the whole survey will take you less than 10 minutes.

You are kindly invited to participate in the hypermodel survey of CHIC project. This survey will help CHIC project consortium to understand the knowledge, expectations and opinions of citizens and patients about the cancer models/hypermodels.

For further information, survey video and survey questions, please visit:
http://www.ehealthserver.com/survey/index.php?r=survey/index&sid=423562

For further information about CHIC project, please visit:
http://www.chic-vph.eu

CHIC project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement No 600841.

Most Popular Now

Open Medical Works with Moray's Dig…

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to...

Generative AI on Track to Shape the Futu…

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient. In a new paper, Xia Ning, lead author of the study and...

Personalized Breast Cancer Prevention No…

A new telemedicine service for personalised breast cancer prevention has launched at preventcancer.co.uk. It allows women aged 30 to 75 across the UK to understand their risk of developing breast...

New App may Help Caregivers of People Ge…

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow...

An App to Detect Heart Attacks and Strok…

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests. The ECHAS app (Emergency...

A Machine Learning Tool for Diagnosing, …

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer and healthy people. The analysis...

Fine-Tuned LLMs Boost Error Detection in…

A type of artificial intelligence (AI) called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study published in Radiology, a journal of...

DeepSeek-R1 Offers Promising Potential t…

A joint research team from The Hong Kong University of Science and Technology and The Hong Kong University of Science and Technology (Guangzhou) has published a perspective article in MedComm...

Deep Learning can Predict Lung Cancer Ri…

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference...