most citedContrastive Deep Learning Reveals Age Biomarkers in Histopathological Skin Biopsies

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5 papers

eess.IV20261 cited

Contrastive Deep Learning Reveals Age Biomarkers in Histopathological Skin Biopsies

Kaustubh Chakradeo, Pernille Nielsen, Lise Mette Rahbek Gjerdrum +5

As global life expectancy increases, so does the burden of chronic diseases, yet individuals exhibit considerable variability in the rate at which they age. Identifying biomarkers…

cs.LG2026

BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling

Hengguan Huang, Xing Shen, Songtao Wang +5

Human cognition excels at transcending sensory input and forming latent representations that structure our understanding of the world. While Large Language Model (LLM) agents demon…

q-bio.PE2025

Phylogenetics in a warm place: computational aspects of the Tropical Grassmannian

Samir Bhatt, John Sabol, Papri Dey +3

Phylogenetic trees provide a fundamental representation of evolutionary relationships, yet the combinatorial explosion of possible tree topologies renders inference computationally…

q-bio.PE2025

phylo2vec: a library for vector-based phylogenetic tree manipulation

Neil Scheidwasser, Ayush Nag, Matthew J Penn +6

Phylogenetics is a fundamental component of evolutionary analysis frameworks in biology and linguistics. Recently, the advent of large-scale genomics and the SARS-CoV-2 pandemic ha…

q-bio.PE2025

Generalised Bayesian distance-based phylogenetics for the genomics era

Matthew J. Penn, Neil Scheidwasser, Mark P. Khurana +3

As whole genomes become widely available, maximum likelihood and Bayesian phylogenetic methods are demonstrating their limits in meeting the escalating computational demands. Conve…