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first_imgReviewed by James Ives, M.Psych. (Editor)Mar 12 2019New research indicates that colorectal cancer diagnosed at an early age has clinical and genetic features that are different from those seen in traditional colorectal cancer diagnosed later in life. Published early online in CANCER, a peer-reviewed journal of the American Cancer Society, the study also revealed certain unique features in especially young patients and those with predisposing conditions.Although incidence and mortality rates of colorectal cancer have fallen in patients aged 50 years and older, early-onset colorectal cancer rates have been increasing over the past two decades. To look for differences between early-onset and late-onset colorectal cancer, investigators at The University of Texas MD Anderson Cancer Center in Houston analyzed information on more than 36,000 colorectal cancer patients.Related StoriesNew protein target for deadly ovarian cancerResearchers use AI to develop early gastric cancer endoscopic diagnosis systemHow cell-free DNA can be targeted to prevent spread of tumorsThe researchers found that younger patients were more likely to have certain genetic mutations and certain subtypes of colorectal cancer than older patients. Also, among patients with early-onset colorectal cancer, very young patients (aged 18-29 years) were unique from older patients (aged 30-49 years) in terms of the clinical and genetic features of their cancer. Likewise, patients with early-onset colorectal cancer who had predisposing conditions, such as inflammatory bowel disease, had different clinical and genetic characteristics compared with patients without predisposing conditions.”We need to appreciate that there are unique biologic subtypes within young patients that may affect how their cancers behave and may require a personalized approach to treatment,” said senior author Jonathan Loree, MD. “Going forward, special clinical consideration should be given to, and further scientific investigations should be performed for, both very young patients with colorectal cancer and those with predisposing medical conditions.”March is Colorectal Cancer Awareness Month.Source: https://newsroom.wiley.com/press-release/cancer/colorectal-cancer-patients-early-onset-distinct-older-patientslast_img read more

Citation: System identifies music selections via brain scanning (2018, February 2) retrieved 18 July 2019 from https://phys.org/news/2018-02-music-brain-scanning.html Your brain responses to music reveal if you’re a musician or not Journal information: Scientific Reports Provided by D’Or Institute for Research and Education Explore further In the experiment, six volunteers heard 40 pieces of classical music, rock, pop and jazz. The neural fingerprints of each song on the participants’ brains were captured by via MRI while a computer learned to identify the brain patterns elicited by each musical piece. Musical features such as tonality, dynamics, rhythm and timbre were taken into account by the computer.The researchers expected that the computer would be able to identify which song participants were listening to based on their brain activity—a technique known as brain decoding. When confronted with two options, the computer showed up to 85 percent accuracy in identifying the correct song.The researchers then pushed the test even further by providing 10 options (e.g., one correct and nine wrong options) to the computer. In this scenario, the computer correctly identified the song in 74 percent of the time.In the future, studies on brain decoding and machine learning could enable communication regardless of written or spoken language. “Machines will be able to translate our musical thoughts into songs,” says Sebastian Hoefle, researcher from D”Or Institute. According to Hoefle, brain decoding research provides a means to understand neural functioning and interact with it using artificial intelligence. It may sound like science fiction, but mind-reading equipment is much closer to reality than most people realize. A new study carried out at D’Or Institute for Research and Education used magnetic resonance imaging (MRI) to read participants’ minds and determine what song they were listening to. The study, published today in Scientific Reports, contributes to the improvement of the technique and paves the way to new research on reconstruction of auditory imagination and inner speech. In the clinical domain, it can enhance brain-computer interfaces in order to establish communication with locked-in syndrome patients. This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only. read more

first_img Citation: Did Ford just tease an electric Mustang as Tesla debuts Model Y? (2019, March 15) retrieved 17 July 2019 from https://phys.org/news/2019-03-ford-electric-mustang-tesla-debuts.html Ford Motor teased a possible electric Mustang-inspired crossover late Thursday at the same time Tesla was about to begin an event to announce its own new electric vehicle. This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only. (c)2019 USA TodayDistributed by Tribune Content Agency, LLC. Explore further Ford tweeted “Hold your horses” with a simple image of the famous sports car’s pony logo outlined in blue against a black backdrop.The tweet was posted at 8:02 p.m. on the West Coast—two minutes after Tesla was scheduled to begin its big event revealing the Model Y electric SUV.An electric Mustang-inspired crossover, which has been expected for some time, would mark Ford’s attempt to establish itself as a serious player in the market for high-end electric cars, a space that is currently cornered by Tesla.A spokesman for the automaker did not immediately respond to a request for comment late Thursday night. Tesla sets March 14 ‘Model Y’ unveilinglast_img read more

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