Michael Krauthammer, MD, PhD
Research & Publications
Biography
News
Research Summary
I conduct research in translational bioinformatics to analyze functional and clinical data linked to human diseases, with a particular focus on skin cancer. Text and image-mining algorithms are used for extracting molecular and phenotypic data from the research literature to generate models of molecular and clinical processes. Such models guide the identification of disease-related genes or pathways from high-throughput functional data.
Specialized Terms: Molecular interaction networks, computational analysis, pathway discovery, knowledge representation; Statistical modeling and analysis; Text mining in biomedicine, term identification, information extraction
Coauthors
Research Interests
Medical Informatics; Pathology; Skin Neoplasms; Models, Statistical; Computational Biology
Selected Publications
- Innate acting memory Th1 cells modulate heterologous diseasesRakebrandt N, Yassini N, Kolz A, Schorer M, Lambert K, Goljat E, Estrada Brull A, Rauld C, Balazs Z, Krauthammer M, Carballido J, Peters A, Joller N. Innate acting memory Th1 cells modulate heterologous diseases. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2312837121. PMID: 38838013, PMCID: PMC11181110, DOI: 10.1073/pnas.2312837121.
- Longitudinal cell-free DNA characterization by low-coverage whole-genome sequencing in patients undergoing high-dose radiotherapyBalázs Z, Balermpas P, Ivanković I, Willmann J, Gitchev T, Bryant A, Guckenberger M, Krauthammer M, Andratschke N. Longitudinal cell-free DNA characterization by low-coverage whole-genome sequencing in patients undergoing high-dose radiotherapy. Radiotherapy And Oncology 2024, 197: 110364. PMID: 38834154, DOI: 10.1016/j.radonc.2024.110364.
- Simple Contrastive Representation Learning for Time Series ForecastingZheng X, Chen X, Schürch M, Mollaysa A, Allam A, Krauthammer M. Simple Contrastive Representation Learning for Time Series Forecasting. 2024, 6005-6009. DOI: 10.1109/icassp48485.2024.10446875.
- Former smoking, but not active smoking, is associated with delirium in postoperative ICU patients: a matched case-control studyKomninou M, Egli S, Rossi A, Ernst J, Krauthammer M, Schuepbach R, Delgado M, Bartussek J. Former smoking, but not active smoking, is associated with delirium in postoperative ICU patients: a matched case-control study. Frontiers In Psychiatry 2024, 15: 1347071. PMID: 38559401, PMCID: PMC10979642, DOI: 10.3389/fpsyt.2024.1347071.
- Fragmentstein—facilitating data reuse for cell-free DNA fragment analysisBalázs Z, Gitchev T, Ivanković I, Krauthammer M. Fragmentstein—facilitating data reuse for cell-free DNA fragment analysis. Bioinformatics 2024, 40: btae017. PMID: 38224549, PMCID: PMC10805340, DOI: 10.1093/bioinformatics/btae017.
- Exploring the Latest Highlights in Medical Natural Language Processing across Multiple Languages: A SurveyShaitarova A, Zaghir J, Lavelli A, Krauthammer M, Rinaldi F. Exploring the Latest Highlights in Medical Natural Language Processing across Multiple Languages: A Survey. Yearbook Of Medical Informatics 2023, 32: 230-243. PMID: 38147865, PMCID: PMC10751112, DOI: 10.1055/s-0043-1768726.
- Boosting Radiology Report Generation by Infusing Comparison PriorKim S, Nooralahzadeh F, Rohanian M, Fujimoto K, Nishio M, Sakamoto R, Rinaldi F, Krauthammer M. Boosting Radiology Report Generation by Infusing Comparison Prior. 2023, 50-61. DOI: 10.18653/v1/2023.bionlp-1.4.
- Disfluent Cues for Enhanced Speech Understanding in Large Language ModelsRohanian M, Nooralahzadeh F, Rohanian O, Clifton D, Krauthammer M. Disfluent Cues for Enhanced Speech Understanding in Large Language Models. 2023, 3676-3684. DOI: 10.18653/v1/2023.findings-emnlp.238.
- RASopathy Gene Mutations in MelanomaHalaban R, Krauthammer M. RASopathy Gene Mutations in Melanoma. Journal Of Investigative Dermatology 2016, 136: 1755-1759. PMID: 27236105, PMCID: PMC4992636, DOI: 10.1016/j.jid.2016.05.095.
- Exome sequencing identifies recurrent mutations in NF1 and RASopathy genes in sun-exposed melanomasKrauthammer M, Kong Y, Bacchiocchi A, Evans P, Pornputtapong N, Wu C, McCusker JP, Ma S, Cheng E, Straub R, Serin M, Bosenberg M, Ariyan S, Narayan D, Sznol M, Kluger HM, Mane S, Schlessinger J, Lifton RP, Halaban R. Exome sequencing identifies recurrent mutations in NF1 and RASopathy genes in sun-exposed melanomas. Nature Genetics 2015, 47: 996-1002. PMID: 26214590, PMCID: PMC4916843, DOI: 10.1038/ng.3361.
- Exome sequencing identifies recurrent somatic RAC1 mutations in melanomaKrauthammer M, Kong Y, Ha BH, Evans P, Bacchiocchi A, McCusker J, Cheng E, Davis MJ, Goh G, Choi M, Ariyan S, Narayan D, Dutton-Regester K, Capatana A, Holman EC, Bosenberg M, Sznol M, Kluger HM, Brash DE, Stern DF, Materin MA, Lo RS, Mane S, Ma S, Kidd KK, Hayward NK, Lifton RP, Schlessinger J, Boggon TJ, Halaban R. Exome sequencing identifies recurrent somatic RAC1 mutations in melanoma. Nature Genetics 2012, 44: 1006-1014. PMID: 22842228, PMCID: PMC3432702, DOI: 10.1038/ng.2359.
- A semantic web framework to integrate cancer omics data with biological knowledgeHolford ME, McCusker JP, Cheung KH, Krauthammer M. A semantic web framework to integrate cancer omics data with biological knowledge. BMC Bioinformatics 2012, 13: s10. PMID: 22373303, PMCID: PMC3471346, DOI: 10.1186/1471-2105-13-s1-s10.
- Yale Image Finder (YIF): a new search engine for retrieving biomedical imagesXu S, McCusker J, Krauthammer M. Yale Image Finder (YIF): a new search engine for retrieving biomedical images. Bioinformatics 2008, 24: 1968-1970. PMID: 18614584, PMCID: PMC2732221, DOI: 10.1093/bioinformatics/btn340.