Precision health in the palm of your hand
Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.
big data
Brain-controlled computers are becoming a reality, but major hurdles remain
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.
Wearables use tiny fibers to track vitals
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.
AI uncovers missing info about ethnicity in population health
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.
Next-generation computer chip for AIs
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.
Machine learning system sorts out materials' databases
Scientists have used machin -learning to organize the chemical diversity found in the ever-growing databases for the popular metal-organic framework materials.
Surgical data science: data-driven assistance in the OR
In the next-generation operating room interconnected sensors will collect data, analyse it in real-time and make it available to digital assistance functions.
Catching Z’s, capturing data: DIY wearable
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.
Federated learning allows hospitals to share data privately
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.
Genetic diseases research with quantum computing
Scientists are harnessing the mind-bending potential of quantum computers to help us understand genetic diseases – even before quantum computers are a thing.
Cloud vs.edge computing: rethinking healthcare infrastructure
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.
Smart ring detects COVID-19 early
According to new research, the Oura smart ring is indeed suitable for detecting COVID-19 infection up to three days before symptoms appear.
Smart algorithm finds possible future treatment for childhood cancer
Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma.
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-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.
Big data can be used for personal health
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.
AI identifies key patterns of infant movements
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.
Beware of medical ‘shadow’ records, ‘black box’ tools
A team of experts led by two University of Michigan researchers calls for attention to this shadow record.
About the end of medicine, as we know it
Our health system today can no longer be sustained in its existing form. It has become too expensive and too ineffective.
Fitbits may be the answer to nurse fatigue
Activity trackers might lead to better outcomes for hospital patients — when nurses wear them.
Big datasets help identify causes for pediatric diseases
Researchers use the analogy of raindrops on the sidewalk to explain their new method to identify genetic variations that cause severe pediatric diseases.
AI and IoMT spur healthcare industry growth
AI, Big Data, wearables and sensor technologies are driving the growth of smart hospitals and assisting with the home healthcare sector.
Using big data to predict immunotherapy responses
In the age of big data, cancer researchers are discovering new ways to monitor the effectiveness of immunotherapy treatments.
Blockchain – paradigm shift towards patient-centered healthcare
The use of blockchain will change paradigm towards patient-centered healthcare.
Transactions, trust and tokens – Blockchain for healthcare
“A central pillar of blockchain is trust, because data cannot be altered,” says Dr Eberhard Scheuer, Chairman of the Health Information Traceability Foundation.
Machine learning flags emerging pathogens
A new machine learning tool could be useful for flagging dangerous bacteria before they cause an outbreak, from hospital wards to a global scale.
Digital healthcare system: Germany must catch up
In his new role Federal Health Minister Jens Spahn explains at conhIT 2018 the priorities for digitalising the healthcare system. We must catch up!
Data and technology transform Australian medical system
Australian eHealth strategy pushes towards a digital health services ecosystem which will lead to greater involvement and responsibility for consumers.
Transforming the healthcare industry through going to the cloud
Google set it sigths to transform the healthcare industry through the use of cloud technologies and machine learning.
