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Ultra-High Dose Drug Slows Functional Decline in Early ALS

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.

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