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Daniel Pasin

6PUBLICATIONS

17CO-AUTHORS

Deep learningToxicology (incl. clinical toxicology)Cheminformatics and quantitative structure-activity relationshipsProteins and peptidesCharacterisation of biological macromolecules

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Publications (6)

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|Dec 26, 2025

Applications of machine learning for the general unknown screening of HRMS data within forensic toxicology.

Samantha Swan, Maria Sarkisian, Daniel Pasin

|Dec 04, 2023

Deep Learning-Enabled MS/MS Spectrum Prediction Facilitates Automated Identification Of Novel Psychoactive Substances.

Fei Wang, Daniel Pasin, Michael A Skinnider

|Jun 10, 2022

Identification of the synthetic cannabinoid-type new psychoactive substance, CH-PIACA, in seized material.

Daniel Pasin, Michael Nedahl, Christian Brinch Mollerup

|Jan 05, 2022

Metabolomics-driven determination of targets for salicylic acid and ibuprofen in positive electrospray ionization using LC-HRMS.

Daniel Pasin, Meiru Pan, Brian Schou Rasmussen

|Jul 07, 2020

Finding the proverbial needle: Non-targeted screening of synthetic opioids in equine plasma.

Joshua Klingberg, Adam Cawley, Ronald Shimmon

|Jan 31, 2017

Characterization of hallucinogenic phenethylamines using high-resolution mass spectrometry for non-targeted screening purposes.

Daniel Pasin, Adam Cawley, Sergei Bidny

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Frequent Collaborators

2 joint publications

Adam Cawley

2 joint publications

Shanlin Fu

2 joint publications

Petur Weihe Dalsgaard

2 joint publications

Christian Brinch Mollerup

1 joint publications

Joshua Klingberg

1 joint publications

Ronald Shimmon

1 joint publications

Meiru Pan

1 joint publications

Brian Schou Rasmussen

1 joint publications

Kristian Linnet

1 joint publications

Michael Nedahl

Frequent Collaborators

2 joint publications

Adam Cawley

2 joint publications

Shanlin Fu

2 joint publications

Petur Weihe Dalsgaard

2 joint publications

Christian Brinch Mollerup

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