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Deep learning amyotrophic lateral sclerosis by taking pictures


Kyoto University
A team of scientists led by CiRA Professor Haruhisa Inoue reports the combination of deep learning and iPS cell technology for the diagnosis of amyotrophic lateral sclerosis (ALS).
For many devasting neurological diseases like Alzheimer’s disease and amyotrophic lateral sclerosis (ALS), patients are diagnosed only after becoming symptomatic. However, the evidence of memory and muscle loss is seen only after the disease has progressed to irreversible states. Researchers are therefore exploring ways to identify patients well before they become symptomatic, which could allow for wider clinical options.
“If we can catch the disease at the reversible stage, we may reverse and cancel the disease.” said CiRA Prof. Haruhisa Inoue, a specialist of ALS research using iPS cells. ....

Hideshi Kawakami , Haruhisa Inoue , Keiko Imamura , Yuichiro Yada , Mitsuya Morita , Kayoko Tsukita , Ryosuke Takahashi , Ayako Nagahashi , Masanori Nakagawa , Akihiro Kawata , Yuishin Izumi , Takayo Arisato , Department Of Clinical Neuroscience , Tokushima University Graduate School , Bioresource Research Center , School Of Medicine , Department Of Neurology , Institute For Advancement Of Clinical , Hiroshima University , Department Of Epidemiology , Kyoto University Hospital , Institute Of Biomedical Sciences , National Hospital Organization Minamikyusyu , Ps Cells Team , Department Of Internal Medicine , Ps Cell Research ,