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.

Showing posts with label biosensor. Show all posts
Showing posts with label biosensor. Show all posts

Tuesday, July 18, 2023

New AI-aided biosensor developed to detect neurodegenerative diseases

With your risk of dementia and Parkinsons post stroke, how is your doctor objectively determining if you have it? NOTHING LIKE USUAL?  Then you don't have a functioning stroke doctor.

RUN AWAY!

Your risk of dementia, has your doctor told you of this?  Your doctor is responsible for preventing this!

1. A documented 33% dementia chance post-stroke from an Australian study?   May 2012.

2. Then this study came out and seems to have a range from 17-66%. December 2013.`    

3. A 20% chance in this research.   July 2013.

4. Dementia Risk Doubled in Patients Following Stroke September 2018 

Parkinson’s Disease May Have Link to Stroke March 2017

 

The latest here:

 

New AI-aided biosensor developed to detect neurodegenerative diseases

By combining multiple advanced technologies into a single system, EPFL researchers have made a significant step forward in diagnosing neurodegenerative diseases (NDDs) such as Parkinson's disease (PD) and Alzheimer's disease (AD). This novel device is known as the ImmunoSEIRA sensor, a biosensing technology that enables the detection and identification of misfolded protein biomarkers associated with NDDs. The research, published today in Science Advances, also harnesses the power of artificial intelligence (AI) by employing neural networks to quantify disease stages and progression. This significant technological advance holds promise not only for early detection and monitoring of NDDs, but also for assessing treatment options at various stages of the disease's progression.

Treatment of neurodegenerative diseases faces a significant challenge due to the lack of effective diagnostic methods for early detection and monitoring of disease progression. Protein misfolding, a common mechanism in neurodegeneration, has been identified as a key event in disease progression. It is hypothesized that healthy proteins misfold first into oligomers in early stages and into fibrils in later stages of the disease. These misfolded protein aggregates circulate in the brain and biofluids and also accumulate as deposits in the brains of deceased NDD sufferers. But the development of tools to detect these tell-tale signs of disease-;known as biomarkers-;has remained elusive until now. The hurdles to accurate detection are multiple, including limits of current technology to accurately separate and quantify different protein aggregates.

Combing multiple advanced technologies into one sensor

To create this advanced NDD biomarker sensor, researchers at Professor Hatice Altug's Bionanophotonic Systems Laboratory (BIOS) and Professor Hilal Lashuel's Laboratory of Molecular Neurobiology and Neuroproteomics (LMNN) have combined multiple fields of science: protein biochemistry, optofluidics, nanotechnology, and artificial intelligence (AI). "Unlike current biochemical approaches which rely on measuring the levels of these molecules, our approach is focused on detecting their abnormal structures. This technology also allows us to differentiate the levels of the two main abnormal forms implicated in the development and progression of NDDs, oligomers and fibrils," says Lashuel

The ImmunoSEIRA sensor employs a technology called surface-enhanced infrared absorption (SEIRA) spectroscopy. This method allows scientists to detect and analyze the forms of specific disease-associated molecules, known as biomarkers, associated with neurodegenerative diseases. The sensor is equipped with a unique immunoassay, which acts like a molecular detective, identifying and capturing these biomarkers with high precision.

In our paper, we present a technological solution that integrates nanoplasmonics, cleanroom nanofabrication, microfluidics, immunoassay, AI, and advanced biochemical methods. Our ImmunoSEIRA sensor exhibits structural sensitivity and the capability to monitor a panel of complementary biomarkers with high specificity from small sample volumes in complex biomatrices."

Deepthy Kavungal, PhD student and main author of the paper

Joining the power of nanotechnology and artificial intelligence

The ImmunoSEIRA sensor features gold nanorod arrays with antibodies for specific protein detection. It enables real-time specific capture and structural analysis of target biomarkers from extremely small samples. Neural networks, a subset of AI algorithms, are then employed to identify the presence of specific misfolded protein forms, the oligomeric and fibrillary aggregates, achieving an unprecedented level of detection accuracy as the diseases progress. Lashuel believes that this is a significant advance in disease detection, adding that, "since the disease process is tightly associated with changes in protein structure, we believe that structural biomarkers, especially when integrated with other biochemical and neurodegeneration biomarkers, could pave the way for more precise diagnosis and monitoring of disease progression."

The EPFL research team went a step further to show that the ImmunoSEIRA sensor can be used in real clinical settings, i.e. in biofluids. They were able to accurately identify the specific signature of abnormal fibrils, a key indicator of neurodegenerative diseases, even in complex fluids like human cerebrospinal fluid (CSF). Professor Altug explains that the next step with this new technology "is to continue to expand its capabilities and evaluate its diagnostic potential in Parkinson's disease and the growing number of diseases caused by protein misfolding and aggregation."

The results of this study mark a significant advancement in the fields of biosensing, infrared spectroscopy, nanophotonics, and neurodegenerative disease biomarkers. The deployment of the AI-aided ImmunoSEIRA sensor is a welcomed advance for early NDD detection, disease monitoring, and drug efficacy assessment, addressing the critical need for timely intervention and treatment of neurodegenerative diseases.

Source:
Journal reference:

Kavungal, D., et al. (2023) Artificial intelligence-coupled plasmonic infrared sensor for detection of structural protein biomarkers in neurodegenerative diseases. Science Advances. doi.org/10.1126/sciadv.adg9644.

Tuesday, January 24, 2017

In search of the stroke detector

This line is totally fucking appalling.
But paramedics’ guidelines, such as facial paralysis or slurred speech, do not offer a foolproof diagnostic tool: up to 50% of all pre‑hospital stroke diagnoses turn out to be inaccurate.
What are the statistics about that from your hospital? Do they even know? If not, that is pure incompetency.
https://www.theguardian.com/science/2017/jan/22/stroke-detector-biosensor-diagnosis-nicholas-dale--breakthrough
Stroke, or “brain attack”, is the third biggest killer in the western world, after cancer and heart failure. The life-changing effects associated with this simple, Anglo-Saxon word are readily explained: a stroke occurs when the blood supply to the brain is disrupted by a blood vessel either bursting or blocking, so that the part of the brain supplied by this blood vessel dies.
The brain is a much more complex organ than the heart. While strokes are a common feature of everyday life, precisely how and why they occur is far from straightforward.
Each year in the UK, there will be about 50,000 brain attacks. One-third of those affected will die; one-third will be left severely disabled; and about one-third will make some kind of recovery. In the time it takes to read this article, approximately nine people in Britain, from across all age groups, will have suffered a stroke.
Or did they? For the brain is not only super-sensitive territory – as the human animal’s command HQ – it is also top secret. Despite extraordinary progress in MRI scans, the brain remains essentially mysterious and the symptoms of its dysfunction can be hard to diagnose with certainty. An elderly man presenting himself at A&E with unsteady gait and a slurring of his words could be suffering a stroke – or he might just be intoxicated. Treat him for the former, and you’ll save his life; treat him as a drunk, and he might die.
This is not the only way in which stroke sufferers find themselves trapped in a medical lottery. From the beginning of a stroke, every minute, even every second, becomes a matter of life or death in which the patient’s response is crucial. The onset of a brain attack is bewildering and confusing. For patients in the midst of a medical emergency, the key to the best recovery is rapid recognition of the attack followed by the prompt implementation of brain-saving treatment. But rapid recognition is easier said than done.
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All strokes are unique, with a multiplicity of symptoms ranging from a drooping facial muscle to total unconsciousness. But paramedics’ guidelines, such as facial paralysis or slurred speech, do not offer a foolproof diagnostic tool: up to 50% of all pre‑hospital stroke diagnoses turn out to be inaccurate.
The diagnostic predicament is also bedevilled by the phenomenon of “mimics”. For example, a patient might come to A&E with a very bad migraine, exhibiting all the symptoms of stroke. Devoting the resources of stroke treatment to such a mimic is costly in both time and resources, the last thing a cash-strapped NHS can afford.
In A&E, one of the biggest – and potentially most expensive – problems faced by doctors and nurses is how to weed out the mimics and decide if a patient has or has not suffered a stroke. This decision can be fateful. Send the patient for immediate treatment, and all kinds of good outcomes might follow. Delay an hour, and the patient might be on the road to severe disability, even death.
As long ago as 1998, the complex challenges of stroke diagnosis began to intrigue an inquisitive Scottish neuroscientist named Nicholas Dale. He takes up the story: “Some strokes are really obvious. The brain scan shows exactly what’s happened, and everyone is in agreement. But then there are those strokes where the brain scan doesn’t really show anything, even though the symptoms are there. Those are what you might call ‘possible strokes’. What is a clinician supposed to do?” To this last question, Dale would come eventually up with an answer about the size of a thumbnail: the SMARTChip.
Twenty years on, Dale’s tortuous journey into the dark maze of neurological emergency is reaching a climax. After a series of nationwide clinical trials, the Observer can report exclusively that Dale and his biosensor company, Sarissa, an offshoot of Warwick University, are on the threshold of a remarkable breakthrough in stroke diagnosis.
Dale’s pioneering contribution to stroke medicine is a classic tale of scientific innovation replete with accidental discoveries, chance meetings and frustrating setbacks. Add this to the sheer slog of a determined neuroscientist who seems professionally addicted to finding bees in his bonnet, and you begin to approach the story of the smart chip that saves lives.

Dale’s breakthroughs in stroke prevention had mundane beginnings. “My original work,” says Dale with a wry smile, recalling his graduate years in Bristol and St Andrews, was “on how tadpoles swim”.
We need not dwell on Dale’s career in the society of the tadpole. Suffice to say that by 1997, he needed to invent a biosensor to measure the substance adenosine. “I wanted to measure adenosine,” he says, “because I thought that its gradual accumulation in the tadpole’s spinal cord controlled how its swimming slowed over time and ultimately stopped.”
Dale duly published his tadpole findings. It was then, in 1998, articulating a vague thought in the back of his mind, that he uttered to himself the sentence – “This biosensor must be useful for other things” – that would not only change his life, but profoundly influence the fates of many UK stroke patients. At this stage, his aspirations were half-formed, and he had no plan. All he knew was: he was done with tadpoles.

Dale admits that he wanted to do work that did not – as tadpoles always did – provoke smiles of disbelief. “I wanted to find an application for these sensors that was real and important.”
He pauses to recall another turning point. “One of my colleagues in Scotland said: ‘The person you need to talk to is Bruno Frenguelli. He’s interested in models of stroke.’ So I met Bruno,” says Dale, with disarming simplicity, “and told him about my biosensor.”
Dale and Frenguelli were a perfect match. Dale was becoming a master of biosensor technology, whose microchips could measure anything. Frenguelli, a neuroscientist at the University of Dundee, had things he wanted to measure, but no way to make the measurement. Soon, Dale was ferrying his biosensor kit in his car across the Tay Bridge to Dundee, and setting up in Frenguelli’s lab. “We both vividly remember our first joint experiment,” says Dale, “because it was so exciting.”

But then what? The bees in Dale’s bonnet began buzzing again. His biosensor was too cumbersome and fragile for any serious medical applications. “I started to think: could we not make something smaller?”
In 1999, Dale was puzzling over how he might do this – “I realised I would need polymers” – when there was a knock at his door. “And in came this guy I’d never seen before.”
“Hello”, said the newcomer. “I’m Enrique Llaudet.”
Llaudet, a Spanish organic chemist, was a whiz with polymers. Just what Dale needed to create new ways of making tiny biosensors.
So began an eight-year relationship, partly sponsored by seed money from a small Scottish charity, and later by the Wellcome Trust. Now Dale and Llaudet, with Frenguelli in the background, began to develop a tiny biosensor, the ancestor of Sarissa’s smart chip.
There were, inevitably, setbacks. At times, the technology let them down; at times, the funding dried up. But Dale, a natural team player, continued to develop his group, which now included Chris Imray (a heart surgeon at University Hospitals Coventry and Warwickshire NHS Trust), Christine Roffe (a stroke specialist at University Hospitals of North Midlands), Gary Ford (Oxford Academic Health Science Network), Everard Mascarenhas (Sarissa’s CEO), and Faming Tian and Shabin Joshi (both also at the Coventry and Warwickshire).

By now Dale had moved to Warwick to take up a chair in neurosciences. In 2004, Sarissa filed its first biosensor patent, but then Dale found himself in a blind alley. “We had the means, and we had the ideas, but we were getting nowhere. We tried to raise funds for treating foetal hypoxia.” He laughs: “I soon realised that the middle-aged white males who controlled the purse-strings just aren’t interested in babies.”
Finally, Dale returned to stroke. He had puzzled over its mysteries for years, but had never really grappled with the practicalities. Now he began to advance a brilliant hypothesis, developed in collaboration with Chris Imray. This – the measurement of purines in the blood – had the elegance of simplicity. Imray and Dale had begun to prove that, at the onset of stroke, the brain releases a detectable quantity of purines into the blood. If Dale’s smart chip could measure this surge, it could provide positive proof of stroke. For Dale, “elevated purines” would be the criterion by which he would definitively determine the onset of a brain attack.

Today, in the stroke units where Dale’s hypothesis is being tested, nurses have come to recognise that a high purine reading immediately indicates that stroke is a probable diagnosis.
In 2004, that was all in the future. First, Dale had to persuade the medical profession to undertake a clinical trial. It was his contention that Sarissa’s biosensor could weed out the “mimics” that bedevil stroke treatment.
Sarissa made its first commercial sales in 2005. Its biosensors (aka Sarissaprobe) had potential in clinical diagnosis, but, says Dale “we still didn’t have a product that was close to being useful for clinicians and nurses”. In simple terms, Dale’s biosensor would not work in blood.
Blood is the one thing that medics the world over like to test. But blood, as Dale puts it, “is a complex environment. We had to make our sensors a whole lot more selective if we were to measure a surge in purine levels. This was Faming Tian’s brilliant contribution.”
At the same time, Dale was stepping up the presentation of his biosensor to funding bodies. In 2013, he made a pitch to Invention for Innovation, a committee of the National Institute for Health Research. He will probably never forget this moment:
“I made my presentation, and then this clinical biochemist launched into a statement – it was nowhere near an inquiry – which became so hostile that I felt as if I were a delinquent teenager. There was, he told me, no need for this kind of technology. I was stunned by the aggression and the hostility. When this man had finished, I could not think initially how to respond, so I just said, ‘Was there a question?’” The committee burst out laughing. Dale left the meeting with a sense of failure, but he was wrong.
The committee decided to take a punt on his smart chip, after all. Three years ago, Dale and his colleagues began clinical trials in three UK hospitals, Salford, Coventry and Stoke-on-Trent.
Royal Stoke University Hospital, on the west of the city, is just over 10 years old, and a showcase of New Labour’s commitment to a revitalised NHS. Once, in the bad old days, Stoke was served by two separate, Victorian hospitals, with patients ferried between A&E and the stroke unit, which were in different buildings. Now, with A&E just a lift ride away, everything is under one roof with acres of parking space for doctors, nurses, patients and their families.
Inside, long shiny corridors and blinking tiers of lifts take the visitor into the heart of an impressively modern teaching hospital that caters for a population of about 600,000 in Stoke and Stafford. Add Derby, Macclesfield, Wolverhampton, Walsall, and Telford and you are looking at a catchment of 1.5 million. This is Nick Dale’s designated stroke laboratory, and it’s here, for the past three years, that his biosensor has been tested, under Professor Christine Roffe, a dynamic, highly practical director who has placed her team at the forefront of stroke research in the UK, especially as a pioneer of mechanical thrombectomy. She has been here since 1996, heading a unit that consists of six consultants, two specialists and 10 research nurses.