So far, similar medical diagnostics tech has either required time-consuming post processing, or has used parts that prevented it from being integrated into a flat design.
For patients, often children, with rare diseases, getting a diagnosis is difficult and time-consuming.
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Record-breaking technology can sequence an entire human genome in a matter of hours. The work could be a lifeline for people suffering from the more than 5,000 known rare genetic diseases.
The NanoMslide causes potentially cancerous cells to ‘light up’ with vivid colour contrast. It has already been successful in finding early-stage breast cancer cells in human tissue.
Nanotechnology has an impressive record against viruses.
Fitness information from wearable devices can reveal when the body is fighting an infection.
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Fitness information like resting heart rate collected by wearable devices can’t diagnose diseases, but it can signal when something is wrong. That can be enough to prompt a COVID-19 test.
Alongside doctors, AI could be a useful tool for providing better diagnosis.
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An AI trained to look at heart scans was able to successfully predict risk of death. But one expert cautions we still need to be careful about designing – and using – AI for medical diagnosis.
As machine learning progresses, its applications include faster, more accurate medical diagnoses.
A research lab at the University of Saskatchewan is pursuing the applications of artificial intelligence and machine learning to healthcare diagnoses.
One day doctors could instantly diagnose your illness with a handheld device.
A log of your preexisting conditions?
Soon, wearable fitness devices will be able to diagnose diseases. Could that lead insurers to deny coverage to people based on their data alone?
About one in four people regrets having tattoos.
Tattoos often seem like a good idea in the moment, but tattoo regret is common. There is good reason, not the least of which is infection.
It takes time for a human to become good at diagnosing ailments, but that learning is lost when they retire.
Humans can only do so much when it comes to diagnosing what’s wrong with a patient. So why not let machines take over? They learn faster than humans and never retire.
A new way of matching cancer biomarkers in bodily fluids could lead to produce detection technology that doesn’t need expensive labs.
A simple solution to a persistent problem.
Ashok A. Kumar
Every year, 300,000 children are born with sickle-cell disease, primarily in Africa and India. It is a genetic disorder that causes some blood cells to become abnormally shaped. The result is that those…
They have cancer in their sights.
It sounds like a scene from a science fiction novel – an army of tiny weaponised robots travelling around a human body, hunting down malignant tumours and destroying them from within. But research in Nature…
US researchers have invented a microchip-based test for type 1 diabetes. The test is carried out by a handheld microchip…
While doctors still use their senses for diagnoses, they have technologies to back them up.
“Diabetic urine”, the surgeon Herbert Mayo wrote in 1832, “is almost always of a pale straw or greenish colour. Its smell is commonly faint and peculiar, sometimes resembling sweet whey or milk.” The use…