Diagnosis

Displaying 1 - 10 of 127

Improving diagnoses of chronic diseases in remote areas

Improving diagnoses of chronic diseases in remote areas
A new system developed by UCLA researchers could make it easier and less expensive to diagnose chronic diseases, particularly in remote areas without expensive lab equipment. The technology uses extremely simple optical hardware and a lens-free microscope, as well as sophisticated algorithms that help reconstruct the images of tissue samples.
14th August 2017

Spectral analyser turns smartphone into diagnostic tool

Spectral analyser turns smartphone into diagnostic tool
Researchers at the University of Illinois at Urbana-Champaign have developed technology that enables a smartphone to perform lab-grade medical diagnostic tests that typically require large, expensive instruments. Costing only $550, the spectral TRI-Analyser from Bioengineering and Electrical & Computer Engineering Professor Brian Cunningham's lab attaches to a smartphone and analyses patient blood, urine, or saliva samples as reliably as clinic-based instruments that cost thousands of dollars.
11th August 2017

Nanotechnology could help quickly diagnose Zika virus

Nanotechnology could help quickly diagnose Zika virus
Washington University in St. Louis researchers have developed a test that quickly detects the presence of Zika virus in blood. Currently, testing for Zika requires that a blood sample be refrigerated and shipped to a medical center or laboratory, delaying diagnosis and possible treatment. Although the new proof-of-concept technology has yet to be produced for use in medical situations, the test's results can be determined in minutes.
11th August 2017


Partnership to integrate XYZ mechanisms in prototype instrument

Partnership to integrate XYZ mechanisms in prototype instrument
Medical device company ITL Group specialises in the design, development and manufacture of life-saving medical technology, diagnostic devices and analytical instruments for a range of customers, from start-ups to well-established international companies. ITL product developers recently teamed up with fellow engineers at Physik Instrumente (PI) to integrate XYZ mechanisms in a prototype instrument, using off-the-shelf components, rather than designing from scratch.
10th August 2017

Imaging tracer allows early assessment of abdominal aortic aneurysm

Imaging tracer allows early assessment of abdominal aortic aneurysm
Yale University researchers have developed a way in which medical imaging could potentially be used to assess a patient’s rupture risk for abdominal aortic aneurysm. Delaying surgical treatment can be life-threatening, and this new type of imaging could allow physicians to diagnose disease and better plan its management. The study is presented in The Journal of Nuclear Medicine.
9th August 2017

Noninvasive technique for probing cells could reveal disease

Noninvasive technique for probing cells could reveal disease
MIT engineers have devised a way to assess a cell’s mechanical properties simply by observation. The researchers use standard confocal microscopy to zero in on the constant, jiggling motions of a cell’s particles — telltale movements that can be used to decipher a cell’s stiffness. Unlike optical tweezers, the team’s technique is noninvasive, running little risk of altering or damaging a cell while probing its contents.
3rd August 2017

In search of markers for early ALS diagnosis

In search of markers for early ALS diagnosis
Amyotrophic lateral sclerosis (ALS) is a rapidly progressing neurodegenerative disease that affects motor neurons in the brain and spinal cord. “About 90% of patients survive for three to five years following diagnosis,” said Marcondes Cavalcante França, Jr., Head of the Neuromuscular Disease Division of the University of Campinas’s Medical School (FCM-UNICAMP) in São Paulo State, Brazil. Marcondes and his team are responsible for ALS patient care at the teaching hospital there (Hospital das Clínicas).
26th July 2017

Machine learning algorithms help predict schizophrenia

Machine learning algorithms help predict schizophrenia
IBM scientists and the University of Alberta in Edmonton, Canada, have published new data in Nature's partner journal, Schizophrenia, demonstrating that AI and machine learning algorithms helped predict instances of schizophrenia with 74% accuracy. This retrospective analysis also showed the technology predicted the severity of specific symptoms in schizophrenia patients with significant correlation, based on correlations between activity observed across different regions of the brain.
24th July 2017

Digital switches aid gastroscopy procedures

Digital switches aid gastroscopy procedures
Digital switches in the form of the Red Rock RR110/120/130 series from Coto are in stock at Rutronik. Thanks to their very low energy consumption and small size, they are suitable for use in numerous fields, ranging from medical engineering to wildlife tracking to automotive. The RR120 switch is a TMR-based solution that contains a small SOT-23 package with high magnetic sensitivity and low energy consumption.
20th July 2017

A non-invasive way to diagnose brain tumours

A non-invasive way to diagnose brain tumours
EU-funded researchers working within the HELICOID project are using hyperspectral imaging techniques to achieve better localisation of malignant tumours during surgical procedures. Brain cancer is one of the most severe and challenging diseases we face. Despite great advancements in aggressive new treatments that combine surgery, radiotherapy and chemotherapy, treatment for persistent or locally recurrent brain tumours remains elusive.
20th July 2017


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SPE Offshore Europe 2017
5th September 2017
United Kingdom Aberdeen Exhibition & Conference Centre
EPE 2017 ECCE Europe
11th September 2017
Poland Warsaw
ON Semiconductor Power Seminars 2017
11th September 2017
United Kingdom
DSEI 2017
12th September 2017
United Kingdom ExCeL, London
RWM 2017
12th September 2017
United Kingdom NEC, Birmingham