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PD Benjamin Victor Ineichen

Group Leader

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Benjamin Ineichen is an Assistant Professor (Tenure Track) and Head of Medical Data Science at the Department of Clinical Research at the University of Bern. He holds an MD from the University of Zurich and a PhD in Neuroscience and Pharmacology from ETH Zurich. He completed fellowships at the National Institutes of Health (USA, 2017–2018) and the Karolinska Institute (Sweden, 2019–2021) and trained as a clinical resident in Neuroradiology. In 2022, he was appointed as a “Privatdozent” (private lecturer) at the University of Zurich in Neuroanatomy and Neuroinflammation while leading the STRIDE-Lab at the Center for Reproducible Science and the Clinical Neuroscience Center Zurich. He joined the University of Bern in May 2025.

Ben is interested in why so many drugs fail in clinical trials and never gain regulatory approval despite promising early results. His group studies the factors that determine whether a drug progresses from animal studies to clinical trials and regulatory approval. They analyze large-scale data from scientific publications on drug testing and patient data from clinical trials. Their work integrates pharmacology, evidence synthesis, and AI, including natural language processing and large language models. The goal is to improve drug development by making it more efficient and animal-friendly.

Outside research, Ben has a passion for piano, focusing on improvisation and composition. He practices meditation and enjoys long-distance hiking. He also has a big weakness for chocolate and a soft spot for giant teddy bears.

Education

Ph.D. Neuroscience | University of Zurich
MD | University of Zurich


Publications

Remyelination promoting therapies in multiple sclerosis animal models: a systematic review and meta-analysis.

Remyelination promoting therapies in multiple sclerosis animal models: a systematic review and meta-analysis.
Hooijmans CR, Hlavica M, Schuler FAF, Good N, Good A, Baumgartner L, Galeno G, Schneider MP, Jung T, de Vries R, Ineichen BV
Scientific reports, 9(1):822. Epub 20190129. 2019. (2019)

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Enlarged perivascular spaces in multiple sclerosis on magnetic resonance imaging: a systematic review and meta-analysis.

Enlarged perivascular spaces in multiple sclerosis on magnetic resonance imaging: a systematic review and meta-analysis.
Granberg T, Moridi T, Brand JS, Neumann S, Hlavica M, Piehl F, Ineichen BV
Journal of neurology, 267(11):3199-212. Epub 20200613. 2020. (2020)

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Magnetic resonance imaging in multiple sclerosis animal models: A systematic review, meta-analysis, and white paper.

Magnetic resonance imaging in multiple sclerosis animal models: A systematic review, meta-analysis, and white paper.
Ineichen BV, Sati P, Granberg T, Absinta M, Lee NJ, Lefeuvre JA, Reich DS
NeuroImage Clinical, 28:102371. Epub 20200802. 2020. (2020)

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Neurological manifestations of coronavirus infections - a systematic review.

Neurological manifestations of coronavirus infections - a systematic review.
Almqvist J, Granberg T, Tzortzakakis A, Klironomos S, Kollia E, Öhberg C, Martin R, Piehl F, Ouellette R, Ineichen BV
Annals of clinical and translational neurology, 7(10):2057-71. Epub 20200827. 2020. (2020)

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The etiology and evolution of magnetic resonance imaging-visible perivascular spaces: Systematic review and meta-analysis.

The etiology and evolution of magnetic resonance imaging-visible perivascular spaces: Systematic review and meta-analysis.
Okar SV, Hu F, Shinohara RT, Beck ES, Reich DS, Ineichen BV
Frontiers in neuroscience, 17:1038011. 2023. (2023)

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Auto-STEED: A data mining tool for automated extraction of experimental parameters and risk of bias items from in vivo publications

Auto-STEED: A data mining tool for automated extraction of experimental parameters and risk of bias items from in vivo publications
Zürrer WE, Cannon AE, Ewing E, Brüschweiler D, Bugajska J, Hild BF, Rosso M, Reich DS, Ineichen BV
biorxiv (2023)

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Virchow-Robin spaces are a marker for arterial disease in multiple sclerosis.

Virchow-Robin spaces are a marker for arterial disease in multiple sclerosis.
Ineichen BV, Cananau C, Plattén M, Ouellette R, Moridi T, Frauenknecht KBM, Okar SV, Kulcsar Z, Kockum I, Piehl F, Reich DS, Granberg T. Dilate
EBioMedicine, 92:104631. Epub 20230528. 2023. (2023)

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Rituximab treatment for multiple sclerosis.

Rituximab treatment for multiple sclerosis.
Ineichen BV, Moridi T, Granberg T, Piehl F
Multiple sclerosis, 26(2):137-52. 2020. (2020)

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New Prospects for Ultra-High-Field Magnetic Resonance Imaging in Multiple Sclerosis

New Prospects for Ultra-High-Field Magnetic Resonance Imaging in Multiple Sclerosis
Ineichen BV, Beck ES, Piccirelli M, Reich DS
Investigative Radiology, 56(11):773-84. 2021. (2021)

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The Brainbox - a tool to facilitate correlation of brain magnetic resonance imaging features to histopathology.

The Brainbox - a tool to facilitate correlation of brain magnetic resonance imaging features to histopathology.
Faigle W, Piccirelli M, Hortobágyi T, Frontzek K, Cannon AE, Zürrer WE, Granberg T, Kulcsar Z, Ludersdorfer T, Frauenknecht KBM, Reimann R, Ineichen BV
Brain Communication. 5(6): fcad307. 2023. (2023)

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Cytotoxic lesions of the corpus callosum: a systematic review.

Cytotoxic lesions of the corpus callosum: a systematic review.
Moors S, Nakhostin D, Ilchenko D, Kulcsar Z, Starkey J, Winklhofer S, Ineichen BV
European Radiology. Online ahead of print. 2023. (2023)

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Perivascular spaces and their role in neuroinflammation.

Perivascular spaces and their role in neuroinflammation.
Ineichen BV, Okar SV, Proulx ST, Engelhardt B, Lassmann H, Reich DS
Neuron,110(21):3566-81. 2022. (2022)

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Myelin bilayer mapping in the human brain in vivo.

Myelin bilayer mapping in the human brain in vivo.
Baadsvik EL, Weiger M, Froidevaux R, Schildknecht CM, Ineichen BV, Pruessmann KP.
Magnetic resonance in medicine. Online ahead of print. 2024. (2024)

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From data deluge to publomics: How AI can transform animal research.

From data deluge to publomics: How AI can transform animal research.
Ineichen BV, Rosso M, Macleod MR
Lab Animal (NY), 52(10):213-214. 2023. (2023)

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Analysis of animal-to-human translation shows that only 5% of animal-tested therapeutic interventions obtain regulatory approval for human applications

Analysis of animal-to-human translation shows that only 5% of animal-tested therapeutic interventions obtain regulatory approval for human applications
Ineichen BV, Furrer E, Grüninger SL, Zürrer WE, Macleod MR
PLoS Biol 22(6):e3002667 (2024)

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NeuroTrialNER: An Annotated Corpus for Neurological Diseases and Therapies in Clinical Trial Registries

NeuroTrialNER: An Annotated Corpus for Neurological Diseases and Therapies in Clinical Trial Registries
Doneva SE, Ellendorff TR, Sick B, Goldman JP, Cannon AE, Schneider G, Ineichen BV
EMNLP (2024) (2024)

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Summer school for systematic reviews of animal studies: Fostering evidence-based and rigorous animal research.

Summer school for systematic reviews of animal studies: Fostering evidence-based and rigorous animal research.
Rosso M, Doneva SE, Howells DW, Leenaars CH, Ineichen BV
ALTEX, 41(1):131-134. 2024. (2024)

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Systematic review and meta-analysis of preclinical studies.

Systematic review and meta-analysis of preclinical studies.
Ineichen BV, Held U, Salanti G, Macleod MR, Wever KE
Nature Reviews Methods Primers 4(1), 72 (2024)

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Misdiagnosis and underdiagnosis of multiple sclerosis: A systematic review and meta-analysis.

Misdiagnosis and underdiagnosis of multiple sclerosis: A systematic review and meta-analysis.
Zürrer WE, Cannon AE, Ilchenko D, Gaitán MI, Granberg T, Piehl F, Solomon AJ, Ineichen BV
Mult Scler 30(11-12): 1409-1422 (2024)

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Which experimental factors govern successful animal-to-human translation in multiple sclerosis drug development? A systematic review and meta-analysis.

Which experimental factors govern successful animal-to-human translation in multiple sclerosis drug development? A systematic review and meta-analysis.
Berg I, Härvelid P, Zürrer WE, Rosso M, Reich DS, Ineichen BV
eBioMedicine 110: 105434 (2024)

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Large language models to process, analyze, and synthesize biomedical texts: a scoping review

Large language models to process, analyze, and synthesize biomedical texts: a scoping review
Doneva SE, Qin S, Sick B, Ellendorff TR, Goldman JP, Schneider G, Ineichen BV
Discover Artificial Intelligence (2024)

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STEED: A data mining tool for automated extraction of experimental parameters and risk of bias items from in vivo publications.

STEED: A data mining tool for automated extraction of experimental parameters and risk of bias items from in vivo publications.
Zurrer WE, Cannon AE, Ewing E, Brüschweiler D, Bugajska J, Hild BF, Rosso M, Reich DS, Ineichen BV
PLoS One 19(11): e0311358 (2024)

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Quality, topics, and demographic trends of animal systematic reviews - an umbrella review.

Quality, topics, and demographic trends of animal systematic reviews - an umbrella review.
Hild BF, Brüschweiler D, Hild STK, Bugajska J, von Wyl V, Rosso M, Wever KE, Furrer E, Ineichen BV
J Transl Med 23(1): 21 (2025)

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