The gait lab for the pocket – app-based fall prevention
Every day, elderly people fall – be it at home or in care facilities. Lindera aims to reduce the risk of falling with the help of artificial intelligence.
Search for: machine-learning
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.
Cloud computing expands brain sciences
A neuroscientist at University of Texas at Austin wants to democratize the field and support infrastructure.
Smart device-based electronic platform monitor mental health
To help patients manage their mental wellness between appointments, researchers at Texas A&M University have developed a smart device-based electronic platform that can continuously monitor the state of hyperarousal, one of the signs of psychiatric distress.
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.
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.
AI models could predict outcomes in trauma
AI has shown early success in improving survival and outcomes in traffic accident victims transported by ambulance and in predicting survival after liver transplantation.
AI finds COVID-19 needles in a coronavirus haystack
Scientists have assembled a combination of data mining, machine-learning algorithms and compression-based analytics to bring the most useful data to the fore on an office computer.
Glove translates sign language into speech in real time
Bioengineers have designed a glove-like device that can translate American Sign Language into English speech in real time through a smartphone app.
Wearables offer continuous monitoring for COVID-19
Researchers caution that consumer wearables are not sophisticated enough to monitor the complicated illness.
Robots could help injured workers recover
Training robots to guide injured workers through simulated tasks could make return-to-work evaluations and treatment programs more effective and accessible, according to researchers at the University of Alberta.
Portable AI device predicts outbreaks based on coughing
A portable surveillance device powered by machine learning can detect coughing and crowd size in real time, then analyze the data to directly monitor flu-like illnesses trends.
Using AI to assess ulcerative colitis
Researchers develop an AI system that effectively evaluates endoscopic mucosal findings from patients with ulcerative colitis without the need for biopsy collection.
Deep learning yields new antibiotic
An AI model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
How many gender subtypes exist in the brain?
New machine learning study suggest the presence of at least nine gender “expressions”.
Hybrid microscope could bring digital biopsy to the clinic
By adding infrared capability to the ubiquitous, standard optical microscope, researchers hope to bring cancer diagnosis into the digital era.
AI & MRI look into the genome of brain tumors
Researcher have developed a computer method that uses MRI and machine learning to rapidly forecast genetic mutations in glioma tumors,
AI predicts effectiveness of immunotherapy
Scientists can determine which lung-cancer patients will benefit from expensive immunotherapy.
AI system tracks tremors in Parkinson’s patients
Researchers have developed machine learning algorithms that, combined with wearable sensors, can continuously track tremor severity in Parkinson's patients.
Using AI to predict risk of thyroid cancer on ultrasound
Researchers from Thomas Jefferson University use machine learning on ultrasound images of thyroid nodules to predict risk of malignancy.
From one brain scan, more information for the AI
Researchers have developed a system thar helps machine learning models glean training information for diagnosing and treating brain conditions.
Tracking cholera outbreaks with AI
Algorithms using data from antibody signatures in peoples’ blood may enable scientists to assess the size of cholera outbreaks and identify hotspots of cholera transmission more accurately than ever.
Could an AI predict a healthy old age?
Researchers analyze skin cells from mre than 100 people of different ages to find molecular signatures that change as people get older.