Time: 2024-09-02
research_worker have make significant pace in the field of autism research by development advanced diagnostic tool that can detect familial marker of Autism Spectrum Disorder ( ASD ) in brain image with high accuracy . This new system , know as conveyance - establish morphometry ( TBM ) , hour_angle the potential to revolutionize the diagnosis and treatment of autism by focus on familial marker rather than behavioral cue . The system , develop by a multi - university research team carbon_monoxide - light-emitting_diode by Gustavo K. Rohde from the University of Virginia , has show accuracy rates range from 89 to 95 % , offer the promise of earlier diagnosis and intervention . The TBM approach could shift the current behavior - establish diagnosis of autism to a genetics - establish approach , paving the manner for personalize medicine in autism care.
In analogue to these promotion , scientist at the Karolinska Institutet in Stockholm , Sweden , have develop a novel artificial intelligence ( AI ) diagnostic tool that can predict ASD hazard in toddler with nearly 80 % accuracy . The Army_Intelligence machine learning model , name AutMedAI , use choose feature from background and checkup data to screen child under 24 calendar_month of age for autism hazard . This noninvasive tool hour_angle the potential for early diagnosis and intervention , which are crucial for affect developmental result in child with ASD . early designation of ASD exploitation minimal information can lead to better developmental result , as intervention at a young age when the brain is most plastic offer the best opportunity for child to range their full_moon potential.
Autism Spectrum Disorder ( ASD ) is a complex neurodevelopmental disorder that affect sociable , behavioral , learning , and communication skill . global prevalence survey estimate that one in 100 child are diagnose with ASD , with higher rates in the United States . harmonize to the U.S. Centers for Disease Control and Prevention , 1 in 36 child and 1 in 45 adult rich_person autism in America . early diagnosis and intervention are key in better result for person with ASD , yet there remains a disparity in the age of diagnosis between lower_berth and higher - income family . The average age of diagnosis in lower_berth - income family is 4.7 old_age , highlight the need for accessible and early screening tool like AutMedAI to bridge this gap.
The research conduct by both the University of Virginia and the Karolinska Institutet underscore the importance of familial marker and early detection in better the understanding and treatment of Autism Spectrum Disorder . By leverage advance technology such as conveyance - establish morphometry and AI machine learning , research_worker are paving the manner for personalize and effective intervention for person with autism . These groundbreaking promotion rich_person the potential to transform the landscape of autism care , offer hope for earlier diagnosis , tailor treatment , and better result for person on the autistic spectrum.
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