ArticleAnnals of neurology2021
Prediction Model of Amyotrophic Lateral Sclerosis by Deep Learning with Patient Induced Pluripotent Stem Cells.
Article in Annals of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 49 citations in OpenAlex.
- Review
- Nonlinear combinatorial analysis of blood transcriptomes identifies PRKAR1A as a regulator of TDP-43 pathophysiology in amyotrophic lateral sclerosis.Biology methods & protocols · 2026Article
- A neuromuscular clinician's primer on machine learning.Journal of neuromuscular diseases · 2026Review
- Machine Learning in Stem Cell Research: From Biological Data to Clinical Translation.Computational and structural biotechnology journal · 2026Review
- Blood-Based Biomarkers for Traumatic Brain Injury: A New Era in Diagnosis and Prognosis.International journal of molecular sciences · 2025Review
- Prediction of the hypothalamus-pituitary organoid formation using machine learning.Cell reports methods · 2025Article
- Early and non-destructive prediction of the differentiation efficiency of human induced pluripotent stem cells using imaging and machine learning.Scientific reports · 2025Article
- Predictive modeling of ALS progression: an XGBoost approach using clinical features.BioData mining · 2024Article
- Review
- A literature review: machine learning-based stem cell investigation.Annals of translational medicine · 2024Review
- Early Predicting Osteogenic Differentiation of Mesenchymal Stem Cells Based on Deep Learning Within One Day.Annals of biomedical engineering · 2024Article
- Phototoxicity avoidance is a potential therapeutic approach for retinal dystrophy caused by EYS dysfunction.JCI insight · 2024Article
- The use of artificial intelligence in induced pluripotent stem cell-based technology over 10-year period: A systematic scoping review.PloS one · 2024Article
- Recent Advances in High-Content Imaging and Analysis in iPSC-Based Modelling of Neurodegenerative Diseases.International journal of molecular sciences · 2023Review
- Artificial Intelligence Supports Automated Characterization of Differentiated Human Pluripotent Stem Cells.Stem cells (Dayton, Ohio) · 2023Article
- Implications of Artificial Intelligence Algorithms in the Diagnosis and Treatment of Motor Neuron Diseases-A Review.Life (Basel, Switzerland) · 2023Article
- Review
- Review
- Safety and tolerability of bosutinib in patients with amyotrophic lateral sclerosis (iDReAM study): A multicentre, open-label, dose-escalation phase 1 trial.EClinicalMedicine · 2022Article
- Artificial-Intelligence-Based Imaging Analysis of Stem Cells: A Systematic Scoping Review.Biology · 2022Article
Corrections and comments
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Authors and funding
13 authors at 7 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In amyotrophic lateral sclerosis (ALS), early diagnosis is essential for both current and potential treatments. To find a supportive approach for the diagnosis, we constructed an artificial intelligence-based prediction model of ALS using induced pluripotent stem cells (iPSCs). Images of spinal motor neurons derived from healthy control subject and ALS patient iPSCs were analyzed by a convolutional neural network, and the algorithm achieved an area under the curve of 0.97 for classifying healthy control and ALS. This prediction model by deep learning algorithm with iPSC technology could support the diagnosis and may provide proactive treatment of ALS through future prospective research. ANN NEUROL 2021;89:1226-1233.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.