
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.
An consortium aims to transform the field of prostate cancer care by unlocking the potential of big data and big data analytics.
Biological engineers have demonstrated a way to easily retrieve data files stored as DNA. This could be a step toward using DNA archives to store enormous quantities of photos, images, and other digital content.
Digital twins enable customized medical therapies. Researchers have modeled several hundred avatars based on real people and treated them experimentally.
Researchers say new technology solutions such as blockchain can be used to keep important health care information of homeless people secure and portable.
Powerful algorithms used by Netflix, Amazon and Facebook can ‘predict’ the biological language of cancer and neurodegenerative diseases like Alzheimer's.
Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.
More researchers and companies are moving into the brain-computer interfaces, yet major challenges remain, from user training to the reality of invasive brain implant procedures.
A shirt that monitors your blood pressure or a pair of socks that can keep track of your cholesterol levels might be just a few years away from becoming reality.
Machine learning can be used to fill a significant gap in Canadian public health data related to ethnicity and Aboriginal status, according to research by a University of Alberta research epidemiologist.
Engineers have developed a next-generation circuit that allows for smaller, faster and more energy-efficient devices – which would have major benefits for AI systems.
Scientists have used machin -learning to organize the chemical diversity found in the ever-growing databases for the popular metal-organic framework materials.
In the next-generation operating room interconnected sensors will collect data, analyse it in real-time and make it available to digital assistance functions.
Researchers are creating a wearable electronics device that can read brain waves while allowing the wearer to easily drift off into the various stages of sleep.
Researchers have shown that federated learning is successful in the context of brain imaging, by being able to analyze MRI scans of brain tumor patients and distinguish healthy brain tissue from cancerous regions.
Scientists are harnessing the mind-bending potential of quantum computers to help us understand genetic diseases – even before quantum computers are a thing.
Newer concepts like edge computing are regularly discussed alongside the cloud within the healthcare sector, often as if they are each exclusive approaches to infrastructure. However, using one does not eradicate the ability to utilise the other.
According to new research, the Oura smart ring is indeed suitable for detecting COVID-19 infection up to three days before symptoms appear.
Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma.
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.
Researchers show that deep learning algorithms perform similar to human experts when classifying blood samples from patients suffering from acute myeloid leukemia.
Years-long tracking of individuals’ biology helped define what it meant for them to be healthy and showed how changes from the norm could signal disease.
A video recording of an infant lying in bed can be analyzed with artificial intelligence to extract quantitative information useful for assessing the child’s development as well as the efficacy of ongoing therapy.
A team of experts led by two University of Michigan researchers calls for attention to this shadow record.
Our health system today can no longer be sustained in its existing form. It has become too expensive and too ineffective.
Activity trackers might lead to better outcomes for hospital patients — when nurses wear them.
Researchers use the analogy of raindrops on the sidewalk to explain their new method to identify genetic variations that cause severe pediatric diseases.
AI, Big Data, wearables and sensor technologies are driving the growth of smart hospitals and assisting with the home healthcare sector.
In the age of big data, cancer researchers are discovering new ways to monitor the effectiveness of immunotherapy treatments.
The use of blockchain will change paradigm towards patient-centered healthcare.