Ola Spjuth

Ola Spjuth

Uppsala Universitet

H-index: 35

Europe-Sweden

About Ola Spjuth

Ola Spjuth, With an exceptional h-index of 35 and a recent h-index of 28 (since 2020), a distinguished researcher at Uppsala Universitet, specializes in the field of drug discovery, AI, machine learning, cell profiling, predictive toxicology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Corrigendum: Development of new approach methods for the identification and characterization of endocrine metabolic disruptors—a PARC project

Federated Learning for Predicting Compound Mechanism of Action Based on Image-data from Cell Painting

From pixels to phenotypes: Integrating image-based profiling with cell health data as BioMorph features improves interpretability

PKSmart: An Open-Source Computational Model to Predict in vivo Pharmacokinetics of Small Molecules

Data management of scientific applications in a reinforcement learning-based hierarchical storage system

Improved Early Detection of Drug-Induced Liver Injury by Integrating Predicted in Vivo and in Vitro Data

Insights into Drug Cardiotoxicity from Biological and Chemical Data: The First Public Classifiers for FDA Drug-Induced Cardiotoxicity Rank

Conformal prediction enables disease course prediction and allows individualized diagnostic uncertainty in multiple sclerosis

Ola Spjuth Information

University

Position

Professor at Department of Pharmaceutical Biosciences

Citations(all)

4080

Citations(since 2020)

2711

Cited By

2254

hIndex(all)

35

hIndex(since 2020)

28

i10Index(all)

89

i10Index(since 2020)

66

Email

University Profile Page

Uppsala Universitet

Google Scholar

View Google Scholar Profile

Ola Spjuth Skills & Research Interests

drug discovery

AI

machine learning

cell profiling

predictive toxicology

Top articles of Ola Spjuth

Title

Journal

Author(s)

Publication Date

Corrigendum: Development of new approach methods for the identification and characterization of endocrine metabolic disruptors—a PARC project

Frontiers in Toxicology

Albert Braeuning

Patrick Balaguer

William Bourguet

Jordi Carreras-Puigvert

Katreece Feiertag

...

2024/3/25

Federated Learning for Predicting Compound Mechanism of Action Based on Image-data from Cell Painting

bioRxiv

Li Ju

Andreas Hellander

Ola Spjuth

2024

From pixels to phenotypes: Integrating image-based profiling with cell health data as BioMorph features improves interpretability

Molecular Biology of the Cell

Srijit Seal

Jordi Carreras-Puigvert

Shantanu Singh

Anne E Carpenter

Ola Spjuth

...

2024/3/1

PKSmart: An Open-Source Computational Model to Predict in vivo Pharmacokinetics of Small Molecules

bioRxiv

Srijit Seal

Maria-anna Trapotsi

Vigneshwari Subramanian

Ola Spjuth

Nigel Greene

...

2024

Data management of scientific applications in a reinforcement learning-based hierarchical storage system

Available at SSRN 4401829

Tianru Zhang

Ankit Gupta

Maria Andreina Francisco Rodriguez

Ola Spjuth

Andreas Hellander

...

2023/3/27

Improved Early Detection of Drug-Induced Liver Injury by Integrating Predicted in Vivo and in Vitro Data

bioRxiv

Srijit Seal

Dominic P Williams

Layla Hosseini-Gerami

Ola Spjuth

Andreas Bender

2024

Insights into Drug Cardiotoxicity from Biological and Chemical Data: The First Public Classifiers for FDA Drug-Induced Cardiotoxicity Rank

Journal of Chemical Information and Modeling

Srijit Seal

Ola Spjuth

Layla Hosseini-Gerami

Miguel García-Ortegón

Shantanu Singh

...

2024/2/1

Conformal prediction enables disease course prediction and allows individualized diagnostic uncertainty in multiple sclerosis

medRxiv

Akshai Parakkal Sreenivasan

Aina Vaivade

Yassine Noui

Payam Emami Khoonsari

Joachim Burman

...

2024

New approach methods to assess developmental and adult neurotoxicity for regulatory use: A PARC Work Package 5 project

Frontiers in Toxicology

Tamara Tal

Oddvar Myhre

Ellen Fritsche

Joëlle Rüegg

Kai Craenen

...

2024/4/26

Author Correction: A method for Boolean analysis of protein interactions at a molecular level

nature communications

Doroteya Raykova

Despoina Kermpatsou

Tony Malmqvist

Philip J Harrison

Marie Rubin Sander

...

2023

In Silico Prediction of Human Clinical Pharmacokinetics with ANDROMEDA by Prosilico: Predictions for an Established Benchmarking Data Set, a Modern Small …

Alternatives to Laboratory Animals

Urban Fagerholm

Sven Hellberg

Jonathan Alvarsson

Ola Spjuth

2023/1

Exploring the morphology of the host cell to open new possibilities for drug repurposing in viral infections

RExPO22 Conference

Marianna Tampere

Adelinn Kalman

Jonne Rietdijk

Hanna Axelsson

Duncan T Njenda

...

2023/9/28

Exploring the evolution of cellular morphological changes after drug administration based on brightfield image data

Philip John Harrison

Jonne Rietdijk

David Holmberg

Jordi Carreras-Puigvert

Ola Spjuth

2023

Evaluating the utility of brightfield image data for mechanism of action prediction

PLOS Computational Biology

Philip John Harrison

Ankit Gupta

Jonne Rietdijk

Håkan Wieslander

Jordi Carreras-Puigvert

...

2023/7/25

Development of new approach methods for the identification and characterization of endocrine metabolic disruptors—a PARC project

Frontiers in toxicology

Albert Braeuning

Patrick Balaguer

William Bourguet

Jordi Carreras-Puigvert

Katreece Feiertag

...

2023

Disease phenotype prediction in multiple sclerosis

Iscience

Stephanie Herman

Staffan Arvidsson McShane

Christina Zjukovskaja

Payam Emami Khoonsari

Anders Svenningsson

...

2023/6/16

Merging bioactivity predictions from cell morphology and chemical fingerprint models using similarity to training data

Journal of Cheminformatics

Srijit Seal

Hongbin Yang

Maria-Anna Trapotsi

Satvik Singh

Jordi Carreras-Puigvert

...

2023/6/2

Prediction of the Human Pharmacokinetics of 30 Modern Antibiotics Using the ANDROMEDA Software

bioRxiv

Urban Fagerholm

Sven Hellberg

Jonathan Alvarsson

Ola Spjuth

2023

Combining molecular and cell painting image data for mechanism of action prediction

Artificial Intelligence in the Life Sciences

Guangyan Tian

Philip J Harrison

Akshai P Sreenivasan

Jordi Carreras-Puigvert

Ola Spjuth

2023/2/17

CPSign-Conformal Prediction for Cheminformatics Modeling

bioRxiv

Staffan Arvidsson McShane

Ulf Norinder

Jonathan Alvarsson

Ernst Ahlberg

Lars Carlsson

...

2023

See List of Professors in Ola Spjuth University(Uppsala Universitet)

Co-Authors

H-index: 58
Christoph Steinbeck

Christoph Steinbeck

Friedrich-Schiller-Universität Jena

H-index: 48
Chanin Nantasenamat

Chanin Nantasenamat

Mahidol University

H-index: 46
Egon Willighagen

Egon Willighagen

Universiteit Maastricht

H-index: 38
Janna Hastings

Janna Hastings

University College London

H-index: 25
Johannes Wagener

Johannes Wagener

Trinity College

H-index: 16
Jonathan Alvarsson

Jonathan Alvarsson

Uppsala Universitet

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