Diagnosis

A study reveals measuring the speed of pupil dilation while undertaking a cognitive test could help identify early, pre-symptomatic stages of Alzheimer’s.

​​When it comes to medical ailments and their diagnosis, time is absolutely of the essence. And lately we are seeing how artificial intelligence is poised to play a monumental role in detecting tell-tale signs of disease long before doctors can.

​​Just like the organisms they inhabit, cells require sustenance to grow and thrive. Scientists at the University of Edinburgh have developed a new diet-tracking tool that could be used to observe changes in their eating habits, which in turn may serve as telltale signs of disease.​

​A team of scientists has solved the mystery of the strange Parkinson's disease smell, revealing a number of skin-secreted volatile biomarkers can be detected in patients suffering from the disease. The next step for the research is to turn this discovery into an early-detection tool.

Online consultations with real doctors could be useful, but just talking or texting with a patient often isn’t enough for an accurate diagnosis. To give a telepresence doctor more presence, the new OnMed Station is equipped with cameras and various sensors, and can even dispense drugs as prescribed.

​Pancreatic cancer is not the most common of cancers, but it is one of the most deadly, often presenting as entirely asymptomatic until it is too late.​ A new study from a group of Chinese scientists suggests bacteria on the tongue could offer a promising way to detect the disease early.​

A compelling new study from an international team of researchers has described a novel protein that could be a useful blood-based biomarker to monitor the progression of Alzheimer's disease over a decade before any clinical symptoms appear.

Applying AI to ECG results may help doctors quickly identify patients at risk of heart failure. In a new study, an AI system was able to use ECG data to detect the presence of left ventricular dysfunction, a condition currently only detectable using more expensive and time-consuming imaging tests.

Researchers at UT Southwestern are continuing their discoveries into the neurological origins of dementia, revealing a strategy that could potentially forecast what form of dementia a person may develop long before any symptoms of cognitive decline appear​ by studying a single molecule in the brain.

A new discovery from researchers at the University of Queensland could revolutionize the way doctors diagnose all cancers. The landmark research has created a fast and cheap cancer-detecting test based on the discovery of a unique DNA nanostructure thought to be common across all types of cancer.

New research from University College London suggests a quick ultrasound scan examining blood vessels in the neck may be able to effectively predict a person's risk of developing cognitive decline more than 10 years before symptoms appear.

A big challenge facing Alzheimer’s and dementia researchers today is finding a way to identify patients suffering from the earliest stages of cognitive decline. New research is suggesting that AI could be the key to accurately predicting those patients most at risk of developing Alzheimer’s.