Using AI for Early Detection and Treatment of Illnesses

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Research
23 August 2021
Artificial intelligence (AI) will fundamentally change medicine and healthcare: Diagnostic patient data, e.g. from ECG, EEG or X-ray images, can be analyzed with the help of machine learning, so that diseases can be detected at a very early stage based on subtle changes. However, implanting AI within the human body is still a major technical challenge.
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Novel AI Blood Testing Technology can ID Lung Cancers with High Accuracy

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Research
20 August 2021
A novel artificial intelligence blood testing technology developed by researchers at the Johns Hopkins Kimmel Cancer Center was found to detect over 90% of lung cancers in samples from nearly 800 individuals with and without cancer.

The test approach, called DELFI (DNA evaluation of fragments for early interception), spots unique patterns in the fragmentation of DNA shed from cancer cells circulating in the bloodstream.

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Deep Learning Model Classifies Brain Tumors with Single MRI Scan

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Research
13 August 2021
A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan, according to a study published in Radiology: Artificial Intelligence.
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Researchers Take Step Toward Next-Generation Brain-Computer Interface System

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Research
12 August 2021
Brain-computer interfaces (BCIs) are emerging assistive devices that may one day help people with brain or spinal injuries to move or communicate. BCI systems depend on implantable sensors that record electrical signals in the brain and use those signals to drive external devices like computers or robotic prosthetics.
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Brain Connectivity can Build Better AI

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Research
09 August 2021
A new study shows that artificial intelligence networks based on human brain connectivity can perform cognitive tasks efficiently.

By examining MRI data from a large Open Science repository, researchers reconstructed a brain connectivity pattern, and applied it to an artificial neural network (ANN). An ANN is a computing system consisting of multiple input and output units, much like the biological brain.

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New Database could Accelerate Drug Repurposing for Various Diseases

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Research
05 August 2021
Researchers have created a new open-access database of information on drug candidates and how they are metabolised by the body, which could help speed up the repurposing of old drugs as new treatments.

There is an urgent need for more effective treatments for many conditions, including COVID-19, cancer and malaria. But the process of developing new drugs is costly, can take decades, and often leads to failed treatments.

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New App Helps Relieve Back Pain

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Research
03 August 2021
Back problems are among the most common causes of sick leave. Every year as many as one in 15 adults in Norway sees a doctor or physiotherapist due to lower back pain. Worldwide, back pain is the most common cause of disability.

Many people are afraid to be physically active when they experience back pain, but reducing the activity level often prolongs or even aggravates the condition.

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More eHealth News ...

  1. Beware Using Telemedicine for Voice and Speech Therapy
  2. Surrey Builds AI to Find Anti-Ageing Chemical Compounds
  3. Artificial Intelligence Models to Analyze Cancer Images Take Shortcuts that Introduce Bias
  4. New High-Tech Portal Launched to Speed Hearing Loss Innovations
  5. Smartphone Photos can be Used to Detect Anemia
  6. Using Artificial Intelligence to Overcome Mental Health Stigma
  7. Deep Machine Learning Completes Information about the Bioactivity of One Million Molecules
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