Validity of machine learning in biology and medicine increased through collaborations across fields of expertise - Littmann, Maria; Selig, Katharina; Cohen-Lavi, Liel; Frank, Yotam; Hönigschmid, Peter; Kataka, Evans; Mösch, Anja; Qian, Kun; Ron, Avihai; Schmid, Sebastian; Sorbie, Adam; Szlak, Liran; et al. (Nature Machine Intelligence, 2020)
Keywords: 10050 Institute of Pharmacology and Toxicology; 10237 Institute of Biomedical Engineering; 170 Ethics; 610 Medicine & health; 631/114/1305; 631/114/2399; 631/114/2415; 631/1647/794; Artificial intelligence; Automation; Bioinformatics; Biology; Datasets; Engineering; Impact factors; Interdisciplinary aspects; Life sciences; Machine learning; Medicine; Perspective; Scientific papers; Scientific validity; Scientists; Validity