eXplainable Artificial Intelligence (XAI) in aging clock models
XAI is a rapidly progressing field of machine learning, aiming to unravel the predictions of
complex models. XAI is especially required in sensitive applications, eg in health care, when …
complex models. XAI is especially required in sensitive applications, eg in health care, when …
Causality-enriched epigenetic age uncouples damage and adaptation
Abstract Machine learning models based on DNA methylation data can predict biological
age but often lack causal insights. By harnessing large-scale genetic data through …
age but often lack causal insights. By harnessing large-scale genetic data through …
Application of AI in biological age prediction
D Meng, S Zhang, Y Huang, K Mao, JDJ Han - Current Opinion in Structural …, 2024 - Elsevier
The development of anti-aging interventions requires quantitative measurement of biological
age. Machine learning models, known as “aging clocks,” are built by leveraging diverse …
age. Machine learning models, known as “aging clocks,” are built by leveraging diverse …
PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
PandaOmics is a cloud-based software platform that applies artificial intelligence and
bioinformatics techniques to multimodal omics and biomedical text data for therapeutic …
bioinformatics techniques to multimodal omics and biomedical text data for therapeutic …
[HTML][HTML] Leveraging AI to identify dual-purpose aging and disease targets
Aging is a significant contributor to various chronic diseases, thus emerging as an
increasingly important area of research. Elucidating the mechanisms underlying aging can …
increasingly important area of research. Elucidating the mechanisms underlying aging can …
eXplainable Artificial Intelligence (XAI) in age prediction: A systematic review
A Kalyakulina, I Yusipov - arXiv preprint arXiv:2307.13704, 2023 - arxiv.org
eXplainable Artificial Intelligence (XAI) is now an important and essential part of machine
learning, allowing to explain the predictions of complex models. XAI is especially required in …
learning, allowing to explain the predictions of complex models. XAI is especially required in …
Comprehensive review of Transformer‐based models in neuroscience, neurology, and psychiatry
This comprehensive review aims to clarify the growing impact of Transformer‐based models
in the fields of neuroscience, neurology, and psychiatry. Originally developed as a solution …
in the fields of neuroscience, neurology, and psychiatry. Originally developed as a solution …
ComputAgeBench: Epigenetic Aging Clocks Benchmark
D Kriukov, E Efimov, EA Kuzmina, EE Khrameeva… - bioRxiv, 2024 - biorxiv.org
The success of clinical trials of longevity drugs relies heavily on identifying integrative health
and aging biomarkers, such as biological age. Epigenetic aging clocks predict the biological …
and aging biomarkers, such as biological age. Epigenetic aging clocks predict the biological …