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Do scientists know what causes ALS?

Posted on November 1, 2019 by Author

Table of Contents

  • 1 Do scientists know what causes ALS?
  • 2 Why is there no cure for ALS?
  • 3 How long has ALS been researched?
  • 4 What did Stephen Hawking have?
  • 5 How can artificial intelligence and machine learning improve cancer research?
  • 6 What are the biggest threats to machine learning?

Do scientists know what causes ALS?

The cause of ALS is not known, and scientists do not yet know why ALS strikes some people and not others. However, scientific evidence suggests that both genetics and environment play a role in motor neuron degeneration and the development of ALS.

What research is being done to find a cure for ALS?

Biogen (MA, USA) has announced positive results from a Phase I/II study of tofersen – an antisense oligonucleotide – for the potential treatment of SOD1 amyotrophic lateral sclerosis (ALS). These results have been published in The New England Journal of Medicine.

Why is there no cure for ALS?

There is no known cure to stop or reverse ALS. Each person with ALS experiences a different proportion of upper and lower motor neurons that die. This results in symptoms that vary from person to person. The disease progresses, affecting more nerve cells as time goes on.

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What isn’t affected by ALS?

It causes progressive degeneration of nerve cells in the spinal cord and brain. ALS affects voluntary control of arms and legs and leads to trouble breathing. ALS doesn’t affect intelligence, thinking, seeing, or hearing.

How long has ALS been researched?

ALS has been around for 150 years. For the better part of a century, it remained a scientific mystery. Fast forward to now. There are currently hundreds of clinical trials taking place across the globe–involving many types of approaches–and hundreds of chances for a significant breakthrough each year.

When did ALS research start?

1990s: first ALS gene and drug discovered Just over a century later, in 1993, the first gene to be associated with familial ALS was identified – the SOD1 gene. Since then, at least ten additional genes have been linked to familial ALS/motor neurone disease.

What did Stephen Hawking have?

Disability. Hawking had a rare early-onset, slow-progressing form of motor neurone disease (MND; also known as amyotrophic lateral sclerosis (ALS) or Lou Gehrig’s disease), a fatal neurodegenerative disease that affects the motor neurones in the brain and spinal cord, which gradually paralysed him over decades.

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Can ALS be misdiagnosed?

ALS is commonly misdiagnosed as cerebrovascular disease, cervical myelopathy, vertebral disc herniation, radiculopathy, neuropathy, and myasthenia gravis. Misdiagnosed patients may endure surgery or treatment for the wrong diagnosis that can lead to unnecessary harm.

How can artificial intelligence and machine learning improve cancer research?

“These are our fortes, artificial intelligence and machine learning,” said Hoifung Poon, a researcher in Microsoft’s Redmond, Washington, lab who is using a technique called machine reading to help oncologists find the latest information about effective cancer treatments for individual patients. Another big advantage: cloud computing.

How machine learning algorithms are transforming the healthcare industry?

Now with the help of machine learning algorithms, personalized medicine and predictive patient outcome has taken another step towards curing diseases. With the data collected from patients, researchers are able to study different diseases and try to find better treatments and even cures.

What are the biggest threats to machine learning?

Poor data quality is enemy number one to the widespread, profitable use of machine learning. The quality demands of machine learning are steep, and bad data can rear its ugly head twice both in the historical data used to train the predictive model and in the new data used by that model to make future decisions.

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How can machine learning and natural language processing help cancer research?

One team of researchers is using machine learning and natural language processing to help the world’s leading oncologists figure out the most effective, individualized cancer treatment for their patients, by providing an intuitive way to sort through all the research data available.

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