Deep learning predicts viral infections
Using fluoresence images from live cells, researchers have trained an artificial neural network to reliably recognize cells that are infected by adenoviruses or herpes viruses.
machine learning
Machine learning is a type of artificial intelligence that can be described as a mathematical model where computers are trained to learn to see connections and solve problems using different data sets.
AI app could help diagnose HIV more accurately
New technology could transform the ability to accurately interpret HIV test results, particularly in low- and middle-income countries.
Wearables can help predict blood test results
Smartwatches and other wearable devices may be used to sense illness, dehydration and even changes to the red blood cell count.
Brain-computer interface turns mental handwriting into text
Scientists have used an implanted sensor to record the brain signals associated with handwriting, and used those signals to create text on a computer in real time.
Self-learning robots go full steam ahead
Researchers have shown that a group of small autonomous, self-learning robots can adapt easily to changing circumstances. They connected the simple robots in a line, after which each individual robot taught itself to move forward as quickly as possible.
Integrating imaging with deep neural networks
Neural network framework may increase radiologist's confidence in assessing the type of lung cancer on CT scans, informing individualized treatment planning.
AI makes great microscopes better than ever
Machine learning helps some of the best microscopes to see better, work faster, and process more data.
A new framework for machine speech translation
Researchers propose a deep learning-based model for mimicking and continuously modifying speaker voice identity during speech translation.
Designing better antibody drugs with machine learning
Artificial intelligence could help to optimise the development of antibody drugs. This leads to active substances with improved properties, also with regard to tolerability in the body.
How AI can help slow down future pandemics
Researchers have investigated how machine learning can be used to find effective testing methods during epidemic outbreaks, thereby helping to better control the outbreaks.
AI could crack the language of cancer
Powerful algorithms used by Netflix, Amazon and Facebook can ‘predict’ the biological language of cancer and neurodegenerative diseases like Alzheimer's.
Detecting carpal tunnel syndrome with AI and a game
Researchers combined motion analysis that uses smartphone application and machine learning that uses an anomaly detection method, thereby developing a technique to easily screen for carpal tunnel syndrome.
Early detection of bipolar disorder with AI-based tool
Researchers have created a machine learning model that helps identify bipolar disorder at earlier stages.
Smart textiles measure your movements
Researchers have developed clothing that uses special fibers to sense a person's movement via touch.
Mixed reality gets machine learning upgrade
Scientists at Osaka University employed deep learning to improve mobile mixed reality generation.
AI platform to assess blood vessel anomalies
Researchers have developed an AI platform that could one day be used in a system to assess vascular and eye diseases.
AI can identify cancerous cells by their acidity
Using a special dye, cells are colored according to their pH, and a machine learning algorithm can detect changes in the color spectrum due to cancer.
Machine learning speeds up drug discovery
Researchers have developed a machine learning-based technique that speeds speeds up calculations of drug molecules' binding affinity to proteins.
COVID-19: AI models not yet suitable for clinical use
Researchers have found that out of the more than 300 COVID-19 machine learning models are not suitable for detecting or diagnosing COVID-19 from standard medical imaging.
AI identifies precancerous colon polyps
A machine learning algorithm helps accurately differentiate benign and premalignant colorectal polyps on CT colonography scans.
'Liquid' machine learning system adapts to changing conditions
A machine learning system learns on the job. By continuously adapting to new data inputs, this “liquid network” could aid decision-making in medical diagnosis.
AI enhances predictions of COVID-19 outcomes
Researchers have used "federated learning" to examine electronic health records to better predict how COVID-19 patients will progress.
Smart apps help people with hearing loss
Researchers have developed smartphone-based apps that solve the biggest problems for people with hearing loss: filtering out background noise and improving speech perception.
Biomedical research: deep learning outperforms machine learning
Deep-learning methods have the potential to offer substantially better results, generating superior representations for characterizing the human brain.
Using light to revolutionize AI
Researchers have developed a new photonic processor that could revolutionize artificial intelligence.
A smart port for the brain
Researchers are creating a smart port to the brain that will use artificial intelligence to selectively stimulate tissue regrowth and seizure intervention.
Using AI to find new uses for existing medications
Scientists have developed a machine learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed.
AI-designed serotonin sensor may help study mental health
NIH BRAIN Initiative scientists used machine learning to redesign a bacterial ‘Venus flytrap’ protein that can monitor brain serotonin levels in real time.
Computer simulation will accelerate development of 'smart robots'
Experts working at the intersection of robotics, machine learning, and physics-based simulation share how computer simulation could accelerate the development of "smart robots" which "might interact with humans"
