Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Herbsthofer Laurin |
Präsentationen bei wissenschaftlichen und nicht-wissenschaftlichen Veranstaltungen
Harer, CM; Krstic, J; Ehall, B; Herbsthofer, L; Bounab, K; Franz, J; Kotzbeck, P; Prokesch, A; Prietl, B; Pieber, TR
442: Periodic fasting-mimicking diet increases Insulin + and BRN4+ cells in murine endocrine pancreas.
Diabetologia 67 (Suppl 1), 1–593 (2024). 2024; -60th EASD Annual Meeting of the European Association for the Study of Diabetes; SEP 9-13, 2024; Madrid.
[Oral Communication]
FullText
Harer, CM; Krstic, J; Ehall, B; Herbsthofer, L; Bounab, K; Franz, J; Kotzbeck, P; Prokesch, A; Prietl, B; Pieber, TR
Periodic fasting-mimicking diet increases Insulin+ and BRN4+ cells in murine endocrine pancreas
DIABETOLOGIA. Abstracts. 2024; 67: S220-S221.-60th Annual Meeting of the EASD; SEP 9-13, 2024; Madrid, SPAIN.
Web of Science
Vera-Ramos, J; Prietl, B; Pfeifer, V; Herbsthofer, L; Pieber, T
Automatic immune phenotyping of type 1 diabetes samples from a validation study using a machine learning analysis workflow
DIABETOLOGIA. 2024; 67: S164-S164.-60th Annual Meeting of the EASD; SEP 9-13, 2024; Madrid, SPAIN.
[Poster]
Web of Science
Bonstingl, L; Sallinger, K; Skofler, C; Ulz, C; Zinnegger, M; Pritz, E; Pankratz, K; Odar, C; Gruber, MC; Herbsthofer, L; Bauernhofer, T; Kroneis, T; El-Heliebi, A
Spotting the difference: rare cell characterization by multiplex mRNA in situ hybridization and machine learning in the context of liquid biopsy-based therapy resistance monitoring.
13th International Symposium on Minimal Residual Cancer ISMRC; MAY 2-4, 2023; Hamburg, GERMANY. 2023.
[Poster]
Ehall, B; Herbsthofer, L; Bounab, K; Franz, J; Karacay, C; Obermüller, B; Prietl, B; Pieber, TR;
Identification of early diabetes marker in NOD mice
19th IDS (Immunology of Diabetes Society) Congress; MAY 23-27, 2023; Paris, FRANCE. 2023.
[Poster]
Prietl, B; Herbsthofer, L; Vera-Ramos, J; Pfeifer, V; Khalil, M; Stradner, MH; Sourij, H; Pieber, TR
Identification of important shared and diverse immunephenotypes in type 1 diabetes, multiple sclerosis and systemic lupus erythematosus using automated cluster analysis by machine learning
DIABETOLOGIA. 2023; 66(SUPPL 1):S226-S226.-59th Annual Meeting of the European-Association-for-the-Study-of-Diabetes (EASD); OCT 02-06, 2023; Hamburg, GERMANY.
[Poster]
Web of Science
Prietl, B; Vera-Ramos, J; Herbsthofer, L; Pfeifer, V; Khalil, M; Stradner, M; Sourij, H; Pieber, T
Automated cluster analysis by machine learning helps to identify shared and diverse immune phenotypes of T1D, MS and SLE
WIEN KLIN WOCHENSCHR. Abstracts. 2023; 135(Suppl7):S775-S775.-51. Jahrestagung der ÖDG; NOV 16-18, 2023; Salzburg, AUSTRIA.
[Oral Communication]
Web of Science
Prietl, B; Vera-Ramos, JA; Pfeifer, V; Khalil, M; Herbsthofer, L; Sorij, H; Pieber, TR
Automated cluster analysis by machine learning reveals important dissimilarities in the immune phenotype of T1D, MS and SLE
Proceedings of the 83rd ADA. 2023; -83rd scientific session of the American Diabetes Association (ADA); June 23-26, 2023; San Diego, CA, USA.
[Oral Communication]
Smolle, MA; Herbsthofer, L; Prietl, B; El-Heliebi, A; Pichler, M; Tomberger, M; Feichtinger, J; Baumgartner, C; Leithner, A; Liegl-Atzwanger, B; Szkandera, J
Impact Of Tumour-Infiltrating Immune Cells On Oncological Outcome (Local Recurrence, Distant Metastasis, Overall Survival) In Soft Tissue Sarcoma Patients.
Online Abstract Book of the 24th EFORT Congress. 2023; -24th EFORT Congress; MAY 24-26, 2023; Vienna, AUSTRIA.
[Oral Communication]