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Philipp Seidl

Dr., MSc

  • Institute for Machine Learning
  • Emailphilipp.seidljkuat
  • Overview
  • Network
  • Research output (14)
  • Activities (1)
  • Supervised Work (5)

Research output

  • 6 Article
  • 6 Preprint
  • 1 Conference proceedings
  • 1 Doctoral thesis

Research output per year

Research output per year

  • A community effort in SARS-CoV-2 drug discovery

    Schimunek, J., Seidl, P., Elez, K., Hempel, T., Le, T., Noe, F., Olsson, S., Raich, L., Winter, R. & Hochreiter, S., Jan 2024, In: Molecular Informatics. 43, 1, p. e202300262 1 p., e202300262.

    Research output: Contribution to journal › Article › peer-review

    Open Access
  • Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences

    Schmidinger, N., Schneckenreiter, L., Seidl, P., Schimunek, J., Hoedt, P.-J., Brandstetter, J., Mayr, A., Luukkonen, S. I. M., Hochreiter, S. & Klambauer, G., Nov 2024, 38 p. (arXiv.org; no. 2411.04165).

    Research output: Working paper and reports › Preprint

  • Machine learning prediction of unexpected readmission or death after discharge from intensive care: A retrospective cohort study

    Tschoellitsch, T., Maletzky, A., Moser, P., Seidl, P., Böck, C., Mahečić, T. T., Thumfart, S., Giretzlehner, M., Hochreiter, S. & Meier, J., Dec 2024, In: Journal of Clinical Anesthesia. 99, 7 p., 111654.

    Research output: Contribution to journal › Article › peer-review

    Open Access
  • Multi-Modal Contrastive Learning for Drug Discovery

    Seidl, P., Feb 2024, 138 p.

    Research output: Thesis › Doctoral thesis

  • Potential Predictors for Deterioration of Renal Function After Transfusion

    Tschoellitsch, T., Moser, P., Maletzky, A., Seidl, P., Böck, C., Roland, T., Ludwig, H., Süssner, S. & Meier, J., 01 Mar 2024, In: Anesthesia & Analgesia. 138, 3, p. 645-654 10 p.

    Research output: Contribution to journal › Article › peer-review

View all 14 research outputs

Activities

  • 1 Poster presentation

Activities per year

  • Context-enriched molecule representations improve few-shot drug discovery

    Schimunek, J. (Speaker) & Seidl, P. (Speaker)

    2023

    Activity: Talk or presentation › Poster presentation › science-to-science

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