ArticleiScience2024
Personalized identification of autism-related bacteria in the gut microbiome using explainable artificial intelligence.
Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Review
- Personalized colorectal cancer risk assessment through explainable AI and Gut microbiome profiling.Gut microbes · 2025Article
- The role of machine learning in autism spectrum disorder assessment and management.Pediatric research · 2025Review
- Detection of breast cancer using machine learning and explainable artificial intelligence.Scientific reports · 2025Article
- Low Back Pain in Italian Nurses: A Statistical Analysis of Disability and Work Productivity Impairment-An Observational Study.Healthcare (Basel, Switzerland) · 2025Article
- Leveraging explainable AI to predict soil respiration sensitivity and its drivers for climate change mitigation.Scientific reports · 2025Article
- Diagnosing autism spectrum disorders using a double deep Q-Network framework based on social media footprints.Frontiers in medicine · 2025Article
- Explainable artificial intelligence for microbiome data analysis in colorectal cancer biomarker identification.Frontiers in microbiology · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autism spectrum disorder (ASD) affects social interaction and communication. Emerging evidence links ASD to gut microbiome alterations, suggesting that microbial composition may play a role in the disorder. This study employs explainable artificial intelligence (XAI) to examine the contributions of individual microbial species to ASD. By using local explanation embeddings and unsupervised clustering, the research identifies distinct ASD subgroups, underscoring the disorder's heterogeneity. Specific microbial biomarkers associated with ASD are revealed, and the best classifiers achieved an AU-ROC of 0.965 ± 0.005 and an AU-PRC of 0.967 ± 0.008. The findings support the notion that gut microbiome composition varies significantly among individuals with ASD. This work's broader significance lies in its potential to inform personalized interventions, enhancing precision in ASD management and classification. These insights highlight the importance of individualized microbiome profiles for developing tailored therapeutic strategies for ASD.
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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.