Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Wednesday, December 13, 2023

New project aims to revolutionize stroke treatment with digital twins

Let's use this to figure out how neuroplasticity works. 

No one knows EXACTLY how to make neuroplasticity repeatable on demand! Why does a neuron drop its' current function and takes on a neighbors? Solve that and getting stroke survivors recovered would be a snap.

New project aims to revolutionize stroke treatment with digital twins


It sounds like something from a science fiction film. Assessing the best treatment for a patient with a cerebral infarction or cerebral hemorrhage by performing the procedure on their digital twin. If it's up to researchers at Amsterdam UMC, this will be reality in six years. They've received a Horizon grant worth 10 million euros from the European Commission to to lead 19 partners in making this a reality.

For years, researchers have been using computers to simulate card designs and airplane flights. Max Verstappen steps into a simulator before he enters his real Formula 1 car and Henk Marquering, Professor of Translational Artificial Intelligence at Amsterdam UMC, wants to bring these simulators to the field of medicine. "Strangely enough, computer simulations in our work are far from the norm, despite having the potential to be an incredibly valuable tool. With this project, we want to first test the treatment for individual stroke patients on a digital twin. The doctors can see in the simulation which treatment works and which doesn't," he says.

In addition to the EU's €10 million, two partners from Switzerland and a partner from Taiwan are contributing a total of €3 million. Each partner from the 12 countries contributes a share of its own expertise in the field of computer simulation and medicine.

Knowledge-based artificial intelligence

Professor of Computational Science at the University of Amsterdam, Alfons Hoekstra explains these 'digital twins' are not "an animation but real calculations." "We enter the blood pressure, heart rhythm, information from the brain scan and other medical data of the stroke patient. Then a kind of 'digital twin' is generated on which we can simulate treatments," he adds.

A concrete example is the removal of a blood clot in the event of a cerebral infarction. By running simulations, doctors can see if a specific treatment will leave the patient's blood clot intact or disintegrates it. The latter is potentially life-threatening. "By simulating the process, the patient receives the most optimal treatment," says Professor of Neuroradiology at Amsterdam UMC, Charles Majoie.

We are now finding out what is good for the individual patient. The more measurements we can put into the digital twin, the more precisely we can predict what the best treatment will be."

Alfons Hoekstra, Professor of Computational Science at the University of Amsterdam

This way of entering data into a computer model is also known as knowledge-based artificial intelligence, which uses indepth biological and medical knowledge of strokes. This is different from data-driven artificial intelligence, which purely looks at large amounts of data, and uses the data from many previous patients to make predictions "It's a new sport that we practice here. We combine the computer data with the physical and biological knowledge we have. Computer scientists and doctors work together to make this possible," says Hoekstra

Over the next four years, the researchers will be working on the technology that will make it possible to create a digital twin. Once this technology is in place, they expect to need another two years or so to turn it into a computer simulation that can be used in practice. So that doctors will soon be able to use their computers to arrive at the most suitable treatment method for their patients. "A treatment that has first been virtually tested on your digital twin? Now that's tailor-made care," concludes Marquering.

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