Krauthammer, Michael

Genomic classification of cutaneous melanoma

Akbani, R., Akdemir, K. C., Aksoy, B. A., Albert, M., Ally, A., Amin, S. B., Arachchi, H., Arora, A., Auman, J. T., Ayala, B., et al. (2015) · Cell

Melanoma and MAPK PathwaysCutaneous Melanoma Detection and Management

Cited by 3,151

Exome sequencing identifies recurrent somatic RAC1 mutations in melanoma

Krauthammer, M., Kong, Y., Ha, B. H., Evans, P., Bacchiocchi, A., McCusker, J. P., Cheng, E., Davis, M. J., Goh, G., Choi, M., et al. (2012) · Nature Genetics

Melanoma and MAPK PathwaysCutaneous Melanoma Detection and Management

Cited by 1,191

Using BLAST for identifying gene and protein names in journal articles

Krauthammer, M., Rzhetsky, A., Morozov, P., & Friedman, C. (2000) · Gene

Biomedical Text Mining and OntologiesAdvanced Text Analysis Techniques

Cited by 212

Germline MC1R status influences somatic mutation burden in melanoma

Robles-Espinoza, C. D., Roberts, N. D., Chen, S., Leacy, F. P., Alexandrov, L. B., Pornputtapong, N., Halaban, R., Krauthammer, M., Cui, R., Timothy Bishop, D., et al. (2016) · Nature Communications

Cutaneous Melanoma Detection and ManagementMelanoma and MAPK Pathways

Cited by 124

Predicting base editing outcomes with an attention-based deep learning algorithm trained on high-throughput target library screens

Marquart, K. F., Allam, A., Janjuha, S., Sintsova, A., Villiger, L., Frey, N., Krauthammer, M., & Schwank, G. (2021) · Nature Communications

CRISPR and Genetic EngineeringRNA regulation and disease

Cited by 102

Decentralized provenance-aware publishing with nanopublications

Kuhn, T., Chichester, C., Krauthammer, M., Queralt-Rosinach, N., Verborgh, R., Giannakopoulos, G., Ngonga Ngomo, A.-C., Viglianti, R., & Dumontier, M. (2016) · PeerJ Computer Science

Semantic Web and OntologiesResearch Data Management Practices

Cited by 90

Analyzing Patient Trajectories With Artificial Intelligence

Allam, A., Feuerriegel, S., Rebhan, M., & Krauthammer, M. (2021) · Journal of Medical Internet Research

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 77

AI support for ethical decision-making around resuscitation: proceed with care

Biller-Andorno, N., Ferrario, A., Joebges, S., Krones, T., Massini, F., Barth, P., Arampatzis, G., & Krauthammer, M. (2020) · Journal of Medical Ethics

Palliative Care and End-of-Life IssuesArtificial Intelligence in Healthcare and Education

Cited by 67

AI support for ethical decision-making around resuscitation: proceed with care

Biller-Andorno, N., Ferrario, A., Joebges, S., Krones, T., Massini, F., Barth, P., Arampatzis, G., & Krauthammer, M. (2022) · Journal of Medical Ethics

Palliative Care and End-of-Life IssuesArtificial Intelligence in Healthcare and Education

Cited by 67

Reducing annotation burden through multimodal learning

Lopez, K., Fodeh, S. J., Allam, A., Brandt, C. A., & Krauthammer, M. (2020) · Frontiers in Big Data

Multimodal Machine Learning ApplicationsRadiomics and Machine Learning in Medical Imaging

Cited by 21