Diagnosis

Displaying 131 - 140 of 161

AI may aid Alzheimer's diagnosis

AI may aid Alzheimer's diagnosis
Machine learning is a type of AI that allows computer programs to learn when exposed to new data without being programmed. Now, researchers in the Netherlands have coupled machine learning methods with a special MRI technique that measures the perfusion, or tissue absorption rate, of blood throughout the brain to detect early forms of dementia, such as mild cognitive impairment (MCI), according to a new study published online in the journal Radiology.
6th July 2016

Method offers 100% detection of esophageal cancer

Method offers 100% detection of esophageal cancer
Recognising the early stages of esophageal cancer is difficult because it can easily be missed. TU Eindhoven has therefore been working with the Catharina Hospital in Eindhoven to develop a method to enable a computer to scan esophagus images for signs of esophageal cancer. With exceptional results: the computer recognises early cancer with almost as much accuracy as top specialists, of which there is only a handful. The results are published in the July issue of the scientific journal Endoscopy.
6th July 2016

Nanomachines could aid diagnosis

Professor Eric Henderson, along with former graduate student Divita Mathur, studies how to build nanomachines that may have real-world medical applications someday soon. He and Mathur recently published an article in the peer-reviewed Scientific Reports describing his laboratory’s successful effort to design a nanomachine capable of detecting a mockup of the Ebola virus. He said such a machine would prove valuable in the developing world, where access to diagnostic medical equipment can be rare.
4th July 2016


AI-powered systems to make diagnoses more accurate

AI-powered systems to make diagnoses more accurate
  A research team from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) recently developed AI methods aimed at training computers to interpret pathology images, with the long-term goal of building AI-powered systems to make pathologic diagnoses more accurate.
22nd June 2016

Bioluminescence is able to detect deep cancers

Bioluminescence is able to detect deep cancers
A team of Tokyo Tech and the University of Electro-Communications (UEC) researchers developed a luciferin analog that can produce bioluminescence with near-infrared wavelength and is applicable in animal experiments. This allows markedly higher target-detection sensitivity, even at very low concentrations. The UEC researchers had previously synthesised a novel luciferin analog, AkaLumine, by altering the chemical structure of D-luciferin.
21st June 2016

Electronic nose can be used in health diagnosis

Researchers at the Texas Analog Center of Excellence (TxACE) at UT Dallas are working to develop an affordable electronic nose that can be used in breath analysis for a wide range of health diagnosis. While devices that can conduct breath analysis using compound semiconductors exist, they are bulky and too costly for commercial use, said Dr. Kenneth O, one of the principal investigators of the effort and director of TxACE. The researchers determined that using CMOS integrated circuits technology will make the electronic nose more affordable.
16th June 2016

Magnetic cancer detecting system will soon reach the market

  An improved system for detecting cancers that uses magnetic rather than radioactive tracers has taken a major step towards commercialisation. Researchers at the University of South Australia's Future Industries Institute have joined forces with New Zealand-based nanoparticle specialist Boutiq Science and major IP investor, Powerhouse Ventures.
13th June 2016

Biomarkers give cancer patients better survival estimates

Biomarkers give cancer patients better survival estimates
A method developed by UCLA scientists uses data about patients' genetic sequences to produce more reliable projections for survival time and how they might respond to possible treatments. The technique is an innovative way of using biomedical big data—which gleans patterns and trends from massive amounts of patient information—to achieve precision medicine—giving doctors the ability to better tailor their care for each individual patient.
9th June 2016

Kit detects the ZIKA virus in blood in 10 to 15 minutes

Kit detects the ZIKA virus in blood in 10 to 15 minutes
Tanaka has developed the world's first kit able to directly detect the ZIKA virus (ZIKV) in blood. The kit is capable of rapid ZIKV detection in just 10 to 15 minutes. Tanaka Kikinzoku Kogyo plans to supply samples for clinical evaluation with a view to collaboration with domestic and overseas medical manufacturers.
7th June 2016

AFM could help diagnose chronic heart disease

AFM could help diagnose chronic heart disease
Researchers from the University of Lisbon and the North Lisbon Hospital Center (Centro Hospitalar Lisboa Norte) conducted a pilot study that demonstrated how atomic force microscopy (AFM) could be used as a non-invasive diagnostic tool for chronic heart disease. Their work appears in the recent issue of Nature Nanotechnology. The World Health Organization estimates that 17.5 million people die annually due to cardiovascular diseases.
3rd June 2016


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Medical Japan 2018
21st February 2018
Japan INTEX Osaka
Med-Tech Innovation Expo 2018
25th April 2018
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