RE@CT: A new production pipeline for interactive 3D content. - Florian Schweiger; Graham A. Thomas; Alia Sheikh; Wolfgang Paier; Markus Kettern; Peter Eisert; Jean-Sébastien Franco; Marco Volino; Peng Huang 001; John P. Collomosse; Adrian Hilton 001; Vincent Jantet; et al. (ICME Workshops, 2015)

Machine learning in research and development of new vaccines products: opportunities and challenges. - Paul Smyth; Gaël de Lannoy; Moritz von Stosch; Alexander Pysik; Amin Khan (ESANN, 2019)

Machine learning in the biopharma industry. - Gaël de Lannoy; Thibault Helleputte; Paul Smyth (ESANN, 2020)

An agile machine learning project in pharma - developing a Mask R-CNN-based web application for bacterial colony counting. - Paul Smyth; Tanguy Naets; Gaël de Lannoy; Laurent Sorber (ESANN, 2020)

A Mask R-CNN approach to counting bacterial colony forming units in pharmaceutical development. - Tanguy Naets; Maarten Huijsmans; Paul Smyth; Laurent Sorber; Gaël de Lannoy (CoRR, 2021)

TMQuery: a database of precomputed template modeling scores for assessment of protein structural similarity. - Stephen Price; Stéphane Tombeur; Alexander Hudson; Nanda Kumar Sathiyamoorthy; Paul Smyth; Anjana Singh; Mara Peccianti; Elisa Baroncelli; Ahmed Essaghir; Ilaria Ferlenghi; Sanjay Kumar Phogat; Gurpreet Singh (Bioinform., 2022)

Deep learning to detect bacterial colonies for the production of vaccines. - Thomas Beznik; Paul Smyth; Gaël de Lannoy; John A. Lee 001 (Neurocomputing, 2022)

Fine-tuning Protein Language Models with Deep Mutational Scanning improves Variant Effect Prediction. - Aleix Lafita; Ferran Gonzalez; Mahmoud Hossam; Paul Smyth; Jacob Deasy; Ari Allyn-Feuer; Daniel Seaton; Stephen Young (CoRR, 2024)