Enhancing Blood-Brain Barrier Penetration Prediction with Machine Learning and Explainable Artificial Intelligence

C. Spielvogel; N. Schindler; Sarah Stellnberger; L. Papp; Markus Hacker; Christian Schröder; Verena Pichler; Chrysoula Vraka

Enhancing Blood-Brain Barrier Penetration Prediction with Machine Learning and Explainable Artificial Intelligence

C. Spielvogel
, N. Schindler
, Sarah Stellnberger
, L. Papp
, Markus Hacker
, Christian Schröder
, Verena Pichler
, Chrysoula Vraka

Publications: Contribution to journal › Meeting abstract/Conference paper › Peer Reviewed

Original language	English
Article number	Meeting Abstract: EP-0784
Pages (from-to)	S745-S745
Journal	European Journal of Nuclear Medicine and Molecular Imaging
Volume	51
Issue number	Supplement 1
Publication status	Published - Sept 2024
Event	Annual Congress of the European-Association-of-Nuclear-Medicine (EANM) - Hamburg, Germany Duration: 19 Oct 2024 → 23 Oct 2024

Austrian Fields of Science 2012

302054 Nuclear medicine
104027 Computational chemistry
301304 Medical biology

Cite this

@article{66c9be2ceb29478b978fd27c590e8211,

title = "Enhancing Blood-Brain Barrier Penetration Prediction with Machine Learning and Explainable Artificial Intelligence",

author = "C. Spielvogel and N. Schindler and Sarah Stellnberger and L. Papp and Markus Hacker and Christian Schr{\"o}der and Verena Pichler and Chrysoula Vraka",

note = "Manuelle Eingabe Accession Number WOS:001332779403313; Annual Congress of the European-Association-of-Nuclear-Medicine (EANM) ; Conference date: 19-10-2024 Through 23-10-2024",

year = "2024",

month = sep,

language = "English",

volume = "51",

pages = "S745--S745",

journal = "European Journal of Nuclear Medicine and Molecular Imaging",

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Enhancing Blood-Brain Barrier Penetration Prediction with Machine Learning and Explainable Artificial Intelligence. / Spielvogel, C.; Schindler, N.; Stellnberger, Sarah et al.
In: European Journal of Nuclear Medicine and Molecular Imaging, Vol. 51, No. Supplement 1, Meeting Abstract: EP-0784, 09.2024, p. S745-S745.

Publications: Contribution to journal › Meeting abstract/Conference paper › Peer Reviewed

TY - JOUR

T1 - Enhancing Blood-Brain Barrier Penetration Prediction with Machine Learning and Explainable Artificial Intelligence

AU - Spielvogel, C.

AU - Schindler, N.

AU - Stellnberger, Sarah

AU - Papp, L.

AU - Hacker, Markus

AU - Schröder, Christian

AU - Pichler, Verena

AU - Vraka, Chrysoula

N1 - Manuelle Eingabe Accession Number WOS:001332779403313

PY - 2024/9

Y1 - 2024/9

M3 - Meeting abstract/Conference paper

SN - 1619-7070

VL - 51

SP - S745-S745

JO - European Journal of Nuclear Medicine and Molecular Imaging

JF - European Journal of Nuclear Medicine and Molecular Imaging

IS - Supplement 1

M1 - Meeting Abstract: EP-0784

T2 - Annual Congress of the European-Association-of-Nuclear-Medicine (EANM)

Y2 - 19 October 2024 through 23 October 2024

ER -