CorTechs Labs Presents Findings Regarding Alzheimer’s Disease at the Radiological Society of North America’s (RSNA) 2019 Annual Meeting
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CorTechs Labs Inc., the leading quantitative neuroimaging software company, announced today they will be exhibiting at RSNA 2019, which is taking place from December 1-6, 2019. In addition to technical exhibits on both the main floor and AI Showcase, the company will present their findings from a recent study titled: “Determining Brain Age Using Machine Learning Combined with Automated Brain Segmentation and PET Imaging in Normal, Alzheimer’s Disease and Mild Cognitive Impairment Subjects.” The company has a number of other presentations throughout the conference and will be at booth numbers 4055 in South Hall, Level 3 and 10514F in the AI Showcase, Level 1.
“As the diagnostic neuroimaging market grows and the technology advances, the research insights such as those we are presenting at RSNA will continue to improve the early, accurate diagnosis of Alzheimer’s disease as well as other neurological disorders.”
CorTechs Labs recently developed a machine learning based age-prediction model for metabolic and volumetric changes of normal brain structures and evaluated this model on imaging data from patients with Alzheimer’s disease (AD) and mild cognitive impairment (MCI), as well as control subjects. The company will be presenting its findings at the conference around the understanding that determining brain aging may be critical to identify potential biomarkers in neurodegenerative diseases, such as Alzheimer’s disease.
“Our goal is to supply innovative technology that enables physicians to provide excellent care with a very high degree of accuracy,” said Chris Airriess, chief executive officer of CorTechs Labs. “As the diagnostic neuroimaging market grows and the technology advances, the research insights such as those we are presenting at RSNA will continue to improve the early, accurate diagnosis of Alzheimer’s disease as well as other neurological disorders.”
CorTechs Labs’ cutting-edge brain imaging analysis provides neurologists, radiologists and clinical researchers worldwide with a convenient and cost-effective means to quantify brain structures to help assess a variety of neurological conditions.
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