Nexkin: multiparametric monitoring shirt launched
Chronolife announced the launch of Nexkin, a washable smart T-shirt that monitors six key physiological parameters to enable prevention, risk reduction, and remote monitoring.
artificial intelligence
AI detects even the smallest metastases
Researchers have developed a new algorithm that enables automated detection of metastases at the level of single disseminated cancer cells in whole mice.
ConvPath software uses AI to identify cancer cells
A software tool uses artificial intelligence to recognize cancer cells from digital pathology images — giving clinicians a powerful way of predicting patient outcomes.
Deep learning identifies molecular patterns of cancer
An AI platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process.
AI predicts success of digital health interventions
A new statistical technique from the field of machine learning is now making it possible to predict the success of smartphone-based interventions more accurately.
Rapid test to diagnose asthma
Researchers use machine learning to developing a rapid test that requires only a drop of blood to diagnose asthma.
Using AI to reveal how memories are coded in the brain
Researchers have discovered that a population of neurons in the brain’s frontal lobe contain stable short-term memory information within dynamically-changing neural activity.
AI for intensive care of traumatic brain injury
AI-based algorithm may be utilized in the intensive care unit for treating patients with severe traumatic brain injury.
Smart microscope adapts to diagnose infectious diseases
Using machine learning, a prototype microscope teaches itself the best illumination settings for diagnosing malaria.
AI predicts effectiveness of immunotherapy
Scientists can determine which lung-cancer patients will benefit from expensive immunotherapy.
Ensembling improves machine learning model performance
Ensembles created using models submitted to the RSNA Pediatric Bone Age Machine Learning Challenge convincingly outperformed single-model prediction of bone age.
Retinal screening in diabetes: diagnosis by robot
Physicians have been using automatic digital retinal screening, without assistance from an ophthalmologist, to detect diabetic retinal disease.
mhealth: an app to screen for early signs of dementia
Dementia screening could be as easy as using a smartphone app that listens to elderly people speak.
Deep learning assists in detecting malignant lung cancers
Radiologists assisted by deep learning based software were better able to detect malignant lung cancers on chest X-rays.
Video game to treat children with ADHD
Researchers have developed advanced brain-computer interface technology that harnesses machine learning to personalise brain-training for children with ADHD.
AI-driven blood cell classification supports leukemia diagnosis
Researchers show that deep learning algorithms perform similar to human experts when classifying blood samples from patients suffering from acute myeloid leukemia.
Microscopy: AI converts 2D images into 3D
Researchers have devised a technique that extends the capabilities of fluorescence microscopy, which allows scientists to precisely label parts of living cells and tissue with dyes that glow under special lighting.
AI can detect language problems tied to liver failure
Researchers have shown that AI can evaluate written messages by patients with severely diseased livers to detect language abnormalities associated with liver disease.
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.
AI system predicts which cancer patients benefit from immunotherapy
Using machine learning, researchers have built a tool that detects genetic mutations that trigger the immune system, helping identify which cancer patients are likely to benefit from immunotherapy.
Bionic leg to help amputees walk faster
Bionic breakthrough: Engineers develop computerized bionic leg to help amputees walk faster, easier and with better balance.
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.
AI rivals radiologists at detecting brain hemorrhages
An algorithm did better than experts radiologists at finding tiny brain hemorrhages in head scans — an advance that one day may help doctors treat patients with strokes.
Combination of AI and radiologists accurately identified breast cancer
An AI tool identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists.
‘Lab-bot’ could revolutionise drug development
A robot-controlled laboratory where decisions are made by artificial intelligence will change the way new drugs are discovered.
Mental health game changer
Using a simple computer game and AI techniques, researchers were able to identify behavioural patterns in subjects with depression and bipolar disorder.
AI improves biomedical imaging
Researchers use artificial intelligence to improve quality of images recorded by a relatively new biomedical imaging method.
AI helps scientists predict depression outcomes
Scientists used artificial intelligence to examine neural activity throughout the brain while study participants processed emotions.
AI to sharpen focus of eye testing
Researchers have applied deep learning techniques to develop a more accurate method for analysing images of the back of the eye.