First steps towards providing care at the right time for people living with #RA. Small exploratory analysis of predicting flares using daily tracked symptom data from the REMORA study Julie Gandrup Horan David Selby @davidselby.bsky.social formative.jmir.org/2024/1/e50679

Every form of bike parking that isn’t just a normal Sheffield stand is worse than a normal Sheffield stand

New preprint on Visible Neural Networks, a way of integrating prior biological knowledge into machine learning models of omics data to improve interpretability. We review >80 papers to explain what VNNs are, how you build them and how they are evaluated. biorxiv.org/content/10.110…

Pleased to present our poster at #NeurIPS2024 workshop on Bayesian Decisionmaking and Uncertainty! 🎉 Our work explores using large language models for eliciting expert-informed Bayesian priors. Elicited lots of discussion with community too! Check it out: neurips.cc/virtual/2024/9…

Friends don't let friends make dynamite plunger plots

Thrilled to share our latest publication in Nature Reviews Genetics! We explore how deep learning models infused with prior pathway knowledge — aka 'visible neural networks' — promise better predictive accuracy & interpretability in multi-omics data analysis. nature.com/articles/s4157…

New blog post: Alternatives to Overleaf for collaborative and reproducible writing by combining Visual Studio Code with Quarto or #Rstats markdown selbydavid.com/2025/03/04/ove…

Health Research From Home Hackathon 2025 | This hackathon is being held by Health Research From Home Partnership led by the The University of Manchester. Register your interest now: health-research-from-home.github.io/DataAnalysisCh…

New blog post: on learning new English words and meanings in Germany selbydavid.com/2025/03/13/den…

Just published! Can LLMs, having read so much scientific literature, play the role of a human expert and help us fill in missing values and fit statistical models to small data sets? We investigate: doi.org/10.1002/sta4.7…

Lay abstract for our latest article on retrieving quantitative expert knowledge from LLMs statisticsviews.com/article/had-en…

Beyond the black box with biologically informed neural networks nature.com/articles/s4157… (read free: rdcu.be/efVJ1) 🧬🖥️🧪

❓What is a "Visible Neural Network"? A new deep learning model for omics, where prior knowledge and interpretability are baked right into the architecture. 🎯 We review dozens of models, datasets & applications, and call for better tools/benchmarks: frontiersin.org/journals/artif…

XAI, AutoML and perverse publishing incentives could create a perfect storm for "X-hacking": In this paper presented at ICML Conference, we describe a new threat to reproducible research and trustworthy AI: dfki.de/en/web/news/ic…

New Research: Visible neural networks for multi-omics integration: a critical review frontiersin.org/articles/10.33… #FrontiersIn #ArtificialIntelligence

New: unofficial Quarto template for the upcoming AAAI 2026 conference. Write your submission in Markdown with embedded computations! github.com/Selbosh/aaai20…

🧬BioDisco, an open-source biomedical hypothesis generator, uses agentic LLMs, knowledge graphs and literature search, with an iterative self-evaluation loop, significantly outperforming other architectures. Preprint: arxiv.org/abs/2508.01285

📊📉📈 Better data visualizations with AI: can LLMs provide constructive critiques on existing charts? 📄 New preprint + benchmark dataset 💽 arxiv.org/abs/2508.05637

New preprint: how many patients could we save with LLM priors? Exploring the effect of eliciting informative priors for Bayesian clinical trials. arxiv.org/abs/2509.04250