
A smartwatch-based algorithm to detect viral infections
Purdue University engineers and physIQ have developed a viral detection algorithm for smartwatches.
Artificial Intelligence can be applied throughout the whole patient journey. We outline the current state and future applications of AI in preventing and diagnosing diseases to personalizing treatment or predicting pandemics.
Purdue University engineers and physIQ have developed a viral detection algorithm for smartwatches.
Wearables are becoming a trend in respiratory care and many products are being developed to monitor patients remotely. But how much can these tools really help clinicians?
Researchers are developing an algorithm that flags tweets that spread bogus information about vaccines.
AI model called EVE shows remarkable capacity to interpret the meaning of gene variants in humans as benign or disease-causing.
Advances in physical reservoir computing could contribute to creating artificial intelligence machines that think like us.
An AI-based technology rapidly diagnoses rare disorders in critically ill children with high accuracy.
Creating human-like AI is about more than mimicking human behaviour – technology must also be able to process information, or ‘think’, if it is to be fully relied upon.
Data privacy and security concerns hamper large-scale studies. Researchers have developed a potential solution.
E-mental health services could provide a response to these challenges and offer effective ways for prevention, diagnosis, treatment, and aftercare.
Secure AI Labs is expanding access to encrypted health care data to advance AI-driven innovation in the field.
AI-based solution FAITH is designed to monitor the mental health status of people who have undergone cancer treatment.
To detect the symptoms that herald the development of psychotic illnesses, scientists have applied longitudinal network analysis to children.
We can run tests and experiments, but we cannot always predict and understand why AI does what it does.
Artificial intelligence has reached a critical turning point in its evolution, according to an international panel of experts.
Researchers at the University of Bonn show how artificial intelligence improves the evaluation of blood analysis data.
Researchers have developed a range of artificial organ phantoms to serve as training platforms for surgeons.
Researchers mimic the animal kingdom’s most basic signs of intelligence in quantum material.
The MasSpec Pen has shown to accurately differentiate healthy and cancerous tissue from banked pancreas samples during surgery.
A smart shoe with inbuilt sensors could improve the quality of life of older people through the early detection of dementia and diabetic ulcers.
Scientists have developed a novel method that uses artificial intelligence to screen for glaucoma.
Using artificial intelligence, researchers have developed a device for the early detection of autism spectrum disorder in children.
Graphene represents incredible opportunities for advancement in many fields, including medical science.
Argonne, industry and academia collaborate to bring innovative AI and simulation tools to the COVID-19 battlefront.
Researchers examined people’s emotional response to cloned faces, which could soon become the norm in robotics.
To enhance human-robot collaboration, researchers at Loughborough University have trained an AI to detect human intention.
Scientists have developed a bio-compatible implantable AI platform that classifies in real time healthy and pathological patterns in biological signals.
An artificial intelligence blood testing technology was found to detect over 90% of lung cancers in samples from nearly 800 individuals with and without cancer.
A deep learning-based technique can be used to eliminate the need for special stains to be prepared by human histotechnologists.
An artificial neural network designed by an international team involving UCL can translate raw data from brain activity, paving the way for new discoveries and a closer integration between technology and the brain.