Ola Spjuth

Uppsala University — Sweden

Computer Science · Physical Sciences

39h-index5.4kcitations290works10.42yr avg
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Research Topics

Computational Drug Discovery Methods(91), Cell Image Analysis Techniques(58), Scientific Computing and Data Management(50), Metabolomics and Mass Spectrometry Studies(37), Analytical Chemistry and Chromatography(24)

Publications290 total

Understanding biology with machine learning: compression, intelligibility, and dependency
Artificial Intelligence in the Life Sciences·2026Open Access
Co-exposure to PFAS and hydroxylated PCBs is associated with increased odds of multiple sclerosis
Environment International·2025Open Access
AI Agents in Drug Discovery
arXiv (Cornell University)·2025Open Access
PKSmart: an open-source computational model to predict intravenous pharmacokinetics of small molecules
Journal of Cheminformatics·2025· 4 citedOpen Access
P18-113 Morphological Profiling of Environmental Chemicals Using Cell Painting
Toxicology Letters·2025
Morphological cell profiling for drug repurposing against SARS-CoV-2 infection
2025Open Access
Precise mapping of single-stranded DNA breaks by sequence-templated erroneous DNA polymerase end-labelling
Nature Communications·2025Open Access
Extensive analysis of pollutant interactions: Identification of deleterious synergistic effects at environmentally relevant dose levels using Drosophila and mammalian cells
The Science of The Total Environment·2025· 4 citedOpen Access
The intracellular free concentration of endocrine disrupting chemicals enables translation between cell-free and cell-based estrogenic activity assays
Environmental Toxicology and Pharmacology·2025· 1 citedOpen Access
Integrating Cell Painting and Thermal Proteome Profiling for Inference of Targets and Mechanism of Action
2025Open Access
Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World
Chemical Research in Toxicology·2025· 50 citedOpen Access
Small molecule bioactivity benchmarks are often well-predicted by counting cells
2025· 3 citedOpen Access
Conformal prediction enables disease course prediction and allows individualized diagnostic uncertainty in multiple sclerosis
npj Digital Medicine·2025· 6 citedOpen Access
The time dimension matters: Improving mode of action classification with live-cell imaging
2025· 1 citedOpen Access
A Systematic Host-Centric Approach to Identifying Repurposed Drugs for Viral Infections
2025Open Access
Computational drug repurposing: approaches, evaluation of in silico resources and case studies
Nature Reviews Drug Discovery·2025· 49 cited
Associations of PFAS and OH-PCBs with risk of multiple sclerosis onset and disability worsening
Nature Communications·2025· 11 citedOpen Access
High-content morphological profiling by Cell Painting in 3D spheroids
2025· 3 citedOpen Access
Single-Cell Morphological Profiling Reveals Insights into Programmed Cell Death
2025Open Access
Minimising Source-Plate Swaps for Robotised Compound Dispensing in Microplates
Lecture notes in computer science·2025
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Frequent Co-authors

Jonathan Alvarsson(14), Jarl E. S. Wikberg(11), Samuel Lampa(10), Egon Willighagen(9), Martin Eklund(8), Christoph Steinbeck(7), Lars Carlsson(6), Kim Kultima(6), Maris Lapins(6), Arvid Berg(5), Stephanie Herman(5), Andreas Bender(5), Stefan Kühn(4), Rajarshi Guha(4), Philip J. Harrison(4), Marco Capuccini(4), Payam Emami Khoonsari(4), Srijit Seal(4), Jordi Carreras‐Puigvert(4), Wesley Schaal(4)