Validity of machine learning in biology and medicine increased through collaborations across fields of expertise

Maria Littmann*, Katharina Selig, Liel Cohen-Lavi, Yotam Frank, Peter Hönigschmid, Evans Kataka, Anja Mösch, Kun Qian, Avihai Ron, Sebastian Schmid, Adam Sorbie, Liran Szlak, Ayana Dagan-Wiener, Nir Ben-Tal, Masha Y. Niv, Daniel Razansky, Björn W. Schuller, Donna Ankerst, Tomer Hertz, Burkhard Rost

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

Fingerprint

Dive into the research topics of 'Validity of machine learning in biology and medicine increased through collaborations across fields of expertise'. Together they form a unique fingerprint.

Engineering & Materials Science