Sunday January 19, 2020

Novel stroke treatment repairs damaged brain tissue

Researchers have developed a new stem-cell based treatment for stroke that reduces brain damage and accelerates the brain's natural healing tendencies

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The new research can reduce the threat of permanent brain damage considerably.
The new research can reduce the threat of permanent brain damage considerably. Wikimedia Commons

Researchers have developed a new stem-cell based treatment for stroke that reduces brain damage and accelerates the brain’s natural healing tendencies.

The treatment called AB126 was developed using extracellular vesicles (EV) — fluid-filled structures known as exosomes — which are generated from human neural stem cells.

“This is truly exciting evidence because exosomes provide a stealth-like characteristic, invisible even to the body’s own defences.

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When packaged with therapeutics, these treatments can actually change cell progression and improve functional recovery,” said Steven Stice, a professor at the University of Georgia in the US who led the research team.

Fully able to cloak itself within the bloodstream, this type of regenerative EV therapy appears to be the most promising in overcoming the limitations of many cells therapies-with the ability for exosomes to carry and deliver multiple doses-as well as the ability to store and administer treatment, the researchers said.

Human clinical trials for the treatment could begin as early as next year, the researchers added.
Human clinical trials for the treatment could begin as early as next year, the researchers added. Wikimedia Commons

Small in size, the tiny tubular shape of an exosome allows EV therapy to cross barriers that cells cannot be said the study published in the journal Translational Stroke Research.

Following the administration of AB126, the researchers used MRI scans to measure brain atrophy rates in preclinical, age-matched stroke models, which showed an approximately 35 percent decrease in the size of injury and 50 percent reduction in brain tissue loss.

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“Until now, we had very little evidence specific to neural exosome treatment and the ability to improve motor function. Just days after stroke, we saw better mobility, improved balance and measurable behavioural benefits in treated animal models,” Stice said.

Human clinical trials for the treatment could begin as early as next year, the researchers added. (IANS)

Next Story

Researchers Develop AI Tool To Detect Mental Health Issues

Tracking changes in clinical states is important to detect if there is a change that shows whether the condition has improved or worsened that would warrant the need for changing treatment

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The USC Signal Analysis and Interpretation Lab (SAIL), which has long applied artificial intelligence (AI) and machine learning to identify and classify video, audio and physiological data, partnered with researchers to analyse voice data from patients being treated for serious mental illnesses. Pixabay

Researchers, including one of Indian-origin, have developed an artificial intelligence (AI) tool that can accurately detect changes in clinical states in voice data of patients with bipolar, schizophrenia and depressive disorders as accurately as attending doctors.

“Machine learning allowed us to illuminate the various clinically-meaningful dimensions of language use and vocal patterns of the patients over time and personalised at each individual level,” said Indian-origin researcher and study senior author Shri Narayanan from University of Southern California (USC) in the US.

The USC Signal Analysis and Interpretation Lab (SAIL), which has long applied artificial intelligence and machine learning to identify and classify video, audio and physiological data, partnered with researchers to analyse voice data from patients being treated for serious mental illnesses.

For the results, the researchers used the ‘MyCoachConnect’ interactive voice and mobile tool, created and hosted on the Chorus platform to provide voice diaries related to their mental health states.

SAIL team then collaborated with researchers to apply artificial intelligence to listen to hundreds of voicemails using custom software to detect changes in patients’ clinical states. According to the study, the AI was able to match clinicians’ ratings of their patients.

Tracking changes in clinical states is important to detect if there is a change that shows whether the condition has improved or worsened that would warrant the need for changing treatment, the researchers said.

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Researchers, including one of Indian-origin, have developed an artificial intelligence (AI) tool that can accurately detect changes in clinical states in voice data of patients with bipolar, schizophrenia and depressive disorders as accurately as attending doctors. Pixabay

This project builds on SAIL’s body of work in behavioural machine intelligence to analyse psychotherapy sessions to detect empathy of addiction counselors-in-training in order to improve their chances of better outcomes, in addition to the Lab’s work analysing language for cognitive diagnoses and legal processes.

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“Our approach builds on that fundamental technique to hear what people are saying about using the modern AI. We hope this will help us better understand how our patients are doing and transform mental health care to be more personalised and proactive to what an individual needs,” said study lead author Armen Arevian. (IANS)