Machine learning fuels personalised cancer medicine
A tool, based on machine learning methods, that evaluates the potential contribution of all possible mutations in a gene in a given type of tumour to the development and progression of cancer.
Artificial intelligence
Artificial intelligence has unimaginable potential to revolutionize medicine. We cover the latest technology breakthroughs of machine learning, deep learning algorithms, neural networks and pattern recognition that process mindboggling amounts of data, spot even the smallest detail in medical images and help medical professionals in designing treatment plans.
Deep learning helps visualize X-ray data in 3D
Scientists have leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source.
Medical data paves the way for machine learning
An consortium aims to transform the field of prostate cancer care by unlocking the potential of big data and big data analytics.
Artificial intelligence shortcuts introduce bias in cancer treatment
AI tools models are a powerful tool in cancer treatment. However, unless these algorithms are properly calibrated, they can sometimes make inaccurate or biased predictions.
AI predicts risk of developing type 2 diabetes
Artificial intelligence could be used to predict who is at risk of developing type 2 diabetes—information that could be used to improve the lives of millions of Canadians.
Can chatbots help fill the empathy gap?
Stressed out? Need to talk? Turning to a chatbot for emotional support might help, research from Michigan State University shows.
Artificial intelligence rapidly computes protein structures
Scientists have created a deep learning method, RoseTTAFold, to provide access to highly accurate protein structure prediction.
Artificial intelligence for emergency management
A consortium aims to develop a platform that will serve as the basis for novel services and test the use of new artificial intelligence tools.
AI measures fat around heart to predict diabetes
Researchers have developed a new artificial intelligence tool that is able to automatically measure the amount of fat around the heart from MRI scan images.
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.
Harnessing AI to discover new drugs
Artificial intelligence can recognise the biological activity of natural products in a targeted manner.
AI improves speech recognition in hearing aid
In noisy environments, it is difficult for hearing aid or hearing implant users to understand their conversational partner. Artificial intelligence could solve this problem.
Photos of toasters train AI to detect COVID
Research using machine learning on images of everyday items is improving the accuracy and speed of detecting respiratory diseases, reducing the need for specialist medical expertise.
AI predicts unknown links between viruses and mammals
A new study could help scientists mitigate the future spread of zoonotic and livestock diseases caused by existing viruses.
Smart biomarkers to empower drug development
Researchers aim to speed up developing drugs against brain diseases through cutting-edge technology. They are generating an innovative technology platform based on high-density microelectrode arrays and 3D networks of human neurons.
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.
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.
AI predicts how patients with viral infections will fare
Researchers used an artificial intelligence (AI) algorithm to sift through terabytes of gene expression data to look for shared patterns in patients with past pandemic viral infections, including SARS, MERS and swine flu.
Intelligent algorithms for movement apps
With LTech, the Lindera Software Development Kit, health tech company Lindera brings innovation and AI technology to the fitness industry.
AI enhances efficacy of sleep disorder treatments
Based on 20,000 nights of sleep, researchers have developed an algorithm that can improve the diagnosis, treatment and overall understanding of sleep disorders.
COVID-19: AIs shortcuts lead to misdiagnosis
Researchers discovered that AI models have a tendency to look for shortcuts. In the case of AI-assisted disease detection, these shortcuts could lead to diagnostic errors if deployed in clinical settings.
AI laboratory provides precision treatment for kids with autism
The University of Texas at San Antonio has established a wearables and AI laboratory to provide precision treatment plans to improve learning among those diagnosed with autism spectrum disorder (ASD).
Deep learning Assesses risk of cardiovascular disease
A team of engineers from Rensselaer Polytechnic Institute and clinicians from Massachusetts General Hospital developed a deep learning algorithm that can help assess a patient's risk of cardiovascular disease with the same low-dose computerized tomography (CT) scan used to screen for lung cancer.
Difference between numerical age and biological age affects health
A new study from the Mayo Clinic found that differences between a person's age in years and his or her biological age, as predicted by an artificial intelligence (AI)-enabled EKG, can provide measurable insights into health and longevity.
Deep learning predicts lung cancer risk
An artificial intelligence (AI) program accurately predicts the risk that lung nodules detected on screening CT will become cancerous, according to a new study.
An AI-inspired theory of dreaming
The overfitted brain: Our dreams' weirdness might be why we have them, argues a researchers in new theory of dreaming.
Image fusion method uses AI to improve outcomes
Researchers have developed a new "multi-modal" image fusion method based on supervised deep learning that enhances image clarity, reduces redundant image features and supports batch processing.
Eliminating bias from AI critical to improve equity
AI-driven healthcare has the potential to transform medical decision-making and treatment, but these algorithms must be thoroughly tested and continuously monitored to avoid unintended consequences to patients.
AI uses X-ray to differentiate worst cases of COVID-19
Trained to see patterns by analyzing thousands of chest X-rays, a computer program predicted with up to 80 percent accuracy which COVID-19 patients would develop life-threatening complications within four days.
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.
AI makes no-cath forecast
Researchers use AI software to predict coronary artery plaque composition and significance without the risks of invasive procedures.
Are AI devices evaluated appropriately?
A study from Stanford University found limitations in the Food and Drug Administration’s approval process.
Brain-on-a-chip would need little training
A neural network that mimics the biology of the brain can be loaded onto a microchip for faster and more efficient artificial intelligence.