Author

Tom Diethe

AstraZeneca (United Kingdom)ORCID 0000-0002-0776-5407Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:large language model· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Ayan ChatterjeeiD· 1 shared Babak RavandiiD· 1 shared Charlotte Mary DeaneiD· 1 shared Dino OglićiD· 1 shared Fariba KhanshaniD· 1 shared Ferran Gonzalez HernandeziD· 1 shared Gabriel Tarrason RisaiD· 1 shared Guillermo del AngeliD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperSystems Biology

Ayan ChatterjeeORCID

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2 papers

Recent·Most cited

Generative Language Modeling for Antibody CDR Grafting and Alignment-driven De Novo Design

Ferran Gonzalez Hernandez, Oliver M. Turnbull, Maliha Sultana, Lorena Roldán-Martín, Rohan Kumar, Tom Diethe, Rebecca Croasdale-Wood, Charlotte Mary Deane, Dino Oglić

GenCDR uses LLaMa-based models to generate antibody CDRs with framework context, achieving high recovery and developable designs through alignment-driven training.

bioRxiv · Sep 10, 2026 · PreprintSynthetic Biology

Representation Learning of Human Diseases for Indication Expansion and Investment Decisions

Babak Ravandi, William R. Mowrey, Ayan Chatterjee, Fariba Khanshan, Parham Haddadi, Michaël Ughetto, Ian P. Barrett, Wei Ding, Guillermo del Angel, Tom Diethe, Juan Carlos Mobarec, Simon Lambden, Seng Cheng, Tina Eliassi‐Rad, Gabriel Tarrason Risa, Piero Ricchiuto

This paper introduces Dis2Vec, a representation learning framework for human diseases that enables therapeutic transferability prediction and disease clustering, enhancing translational research efficiency.

bioRxiv · Nov 19, 2024 · PreprintSystems Biology