ALLADIN

A helping hand for making the right decision in neurorehabilitation: ALLADIN provides the solution to a worldwide need to tailor the rehabilitation of stroke patients, so that it meets both their functional and societal needs, and restores their independence.

A stroke occurs when a blood clot blocks the blood circulation in the brain or when a blood vessel ruptures. The cells in the affected brain area are destroyed and the patient loses the use of one side of the body.

Every year there are about 20 million new stroke incidents in the world. This means that approximately one in every thousand people will get a stroke.

Today we know that physical and functional training are of paramount importance in stroke rehabilitation in enabling patients to regain a good level of independency. Despite this,we are still unable to answer the questions every patient has: "Will I be able to walk again; will I be able to drink tea with my friends..."

The ALLADIN project:

  • Offers a reliable standard for calculating and predicting the functional recovery of stroke patients.
  • Creates conformity in the communication and understanding of neurorehabilitation data.
  • Makes clinical reasoning and quantitative measurements exchangeable in a user friendly way.
  • Outputs a numerical code attached to an operational definition of a milestone, or marker for functional recovery, very similar to the International Classification of Functions (ICF).

For further information, please visit:
http://www.alladin-ehealth.org

Project co-ordinator:
Artveldehogeschool

Partners:

  • Arteveldehogeschool (BE)
  • Language and Computing NV (BE)
  • Budapest University of Technology and Economics (HU)
  • Univerza v Ljubljani, Fakulteta za Elektrotehniko (SI)
  • Zenon SA, Robotics and Informatics (EL)
  • Cardiff University (UK)
  • Multitel ASBL (BE)
  • The Provost Fellows and Scholars of the College of the Holy and Undivided Trinity of Queen Elizabeth near Dublin (IE)
  • Országos Orvosi Rehabilitációs Intézet (HU)
  • Scuola superiore di studi universitari e di perfezionamento Sant'Anna (IT)
  • Universita' Campus Bio-Medico (IT)

Timetable: from 01/04 - to 12/06

Total cost: € 4.030.347

EC funding: € 3.300.000

Instrument: STREP

Project Identifier: IST-2002-507424

Most Popular Now

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...