A neural cell automated analysis system based on pathological specimens in a gerbil brain ischemia model.

Eri Katsumata Abhishek Kumar Ranjan Yoshihiko Tashima Takayuki Takahata Toshiyuki Sato Motoaki Kobayashi Masami Ishii Toyomi Takahashi Asahi Oda Momoko Hirano Yoji Hakamata Kazuhisa Sugai Kobayashi Eiji

Published in: Acta cirurgica brasileira (2024)

Our system evaluated hydrogen water's potential against ischemia and found it potentially useful, which is consistent with expert assessment. Due to natural product's milder effects, large data sets are needed for evaluation, making manual measurement labor-intensive. Hence, our system offers a promising new approach for evaluating natural products.

Keyphrases

cerebral ischemia
single cell
machine learning
high throughput
white matter
cell therapy
deep learning
big data
clinical practice
risk assessment
data analysis
human health
brain injury
climate change
mesenchymal stem cells
artificial intelligence
subarachnoid hemorrhage
fine needle aspiration