People who experienced head injuries in their 50s or younger score lower than expected on cognitive tests at age 70, according to a study led by UCL researchers.
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Scientists at the Francis Crick Institute and UCL have identified the trigger of a key cellular change in amyotrophic lateral sclerosis (ALS), a type of motor neurone disease. The findings could help develop new treatments for many neurological diseases with the same change, including Parkinson s and Alzheimer s.
When the nervous system is injured, diseased or infected, star-shaped cells, called astrocytes, undergo reactive changes in their behaviour. Whilst some of these reactive astrocytes become protective, others become harmful and damage surrounding motor neurons.
Reactive astrocytes are observed in various neurodegenerative diseases including ALS, but there is a lack of understanding about what causes astrocytes to undergo this change.
Researchers identify the trigger of key cellular change in amyotrophic lateral sclerosis
Scientists at the Francis Crick Institute and UCL have identified the trigger of a key cellular change in amyotrophic lateral sclerosis (ALS), a type of motor neurons disease. The findings could help develop new treatments for many neurological diseases with the same change, including Parkinson s and Alzheimer s.
When the nervous system is injured, diseased or infected, star-shaped cells, called astrocytes, undergo reactive changes in their behavior. Whilst some of these reactive astrocytes become protective, others become harmful and damage surrounding motor neurons.
Reactive astrocytes are observed in various neurodegenerative diseases including ALS, but there is a lack of understanding about what causes astrocytes to undergo this change.
How AI is transforming the NHS Whether being used to discover links between genetic codes, power surgical robots or maximise hospital efficiency, artificial intelligence (AI) is transforming the healthcare industry. By Tom Austin-Morgan.
According to the ONS, approximately 22% of all UK deaths in 2018 were considered avoidable. Of these, 64% could be attributed to causes considered preventable and 36% to treatable conditions. Improving the diagnostic process is therefore one of the most important areas where AI is being implemented.
For example, incomplete medical histories and large caseloads can lead to serious human error. Immune to human error, AI can predict and diagnose disease faster than most medical professionals. In one study, an AI model using algorithms and deep learning diagnosed breast cancer at a higher rate than 11 pathologists.