Causal inference for epigenetic ageing
Tag: machine learning
Epigenetic ageing clocks: statistical methods and emerging computational challenges
Over the past decade, epigenetic clocks have emerged as powerful machine learning tools, not only to estimate chronological and biological age but …
Artificial intelligence in digital pathology — time for a reality check
The past decade has seen the introduction of artificial intelligence (AI)-based approaches aimed at optimizing several workflows across many medica…
Synthetic data in biomedicine via generative artificial intelligence
The creation and application of data in biomedicine and healthcare often face privacy constraints, bias, distributional shifts, underrepresentation…
Modelling and design of transcriptional enhancers
Transcriptional enhancers are the genomic elements that contain critical information for the regulation of gene expression. This information is enc…
DeepPrep: an accelerated, scalable and robust pipeline for neuroimaging preprocessing empowered by deep learning
Neuroimaging has entered the era of big data. However, the advancement of preprocessing pipelines falls behind the rapid expansion of data volume, …