Biological data annotation via a human-augmenting AI-based labeling system

Autor: Douwe van der Wal, Iny Jhun, Israa Laklouk, Jeff Nirschl, Lara Richer, Rebecca Rojansky, Talent Theparee, Joshua Wheeler, Jörg Sander, Felix Feng, Osama Mohamad, Silvio Savarese, Richard Socher, Andre Esteva

Publikováno v: npj Digital Medicine, Vol 4, Iss 1, Pp 1-7 (2021)

Abstract Biology has become a prime area for the deployment of deep learning and artificial intelligence (AI), enabled largely by the massive data sets that the field can generate. Key to most AI tasks is the availability of a sufficiently large, lab

Externí odkaz: https://doaj.org/article/d6164252a0d94935879eacf682d4bdaf

Mitochondrial dysfunction in human hypertrophic cardiomyopathy is linked to cardiomyocyte architecture disruption and corrected by improving NADH-driven mitochondrial respiration

Autor: Edgar E Nollet, Inez Duursma, Anastasiya Rozenbaum, Moritz Eggelbusch, Rob C I Wüst, Stephan A C Schoonvelde, Michelle Michels, Mark Jansen, Nicole N van der Wel, Kenneth C Bedi, Kenneth B Margulies, Jeff Nirschl, Diederik W D Kuster, Jolanda van der Velden

Publikováno v: Nollet, E E, Duursma, I, Rozenbaum, A, Eggelbusch, M, Wüst, R C I, Schoonvelde, S A C, Michels, M, Jansen, M, van der Wel, N N, Bedi, K C, Margulies, K B, Nirschl, J, Kuster, D W D & van der Velden, J 2023, ' Mitochondrial dysfunction in human hypertrophic cardiomyopathy is linked to cardiomyocyte architecture disruption and corrected by improving NADH-driven mitochondrial respiration ', European heart journal . https://doi.org/10.1093/eurheartj/ehad028
European heart journal. Oxford University Press

Aims Genetic hypertrophic cardiomyopathy (HCM) is caused by mutations in sarcomere protein-encoding genes (i.e. genotype-positive HCM). In an increasing number of patients, HCM occurs in the absence of a mutation (i.e. genotype-negative HCM). Mitocho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbdc2e438828d47bff141acdc72a2c34
https://hdl.handle.net/1871.1/0946409f-827c-4433-af9c-265b50db328c

Biological data annotation via a human-augmenting AI-based labeling system

Autor: Osama Mohamad, Iny Jhun, Israa Laklouk, Andre Esteva, Felix Y. Feng, Jörg Sander, Joshua Wheeler, Rebecca Rojansky, Talent Theparee, Douwe van der Wal, Silvio Savarese, Jeff Nirschl, Richard Socher, Lara Richer

Publikováno v: NPJ Digital Medicine
npj Digital Medicine, Vol 4, Iss 1, Pp 1-7 (2021)

Biology has become a prime area for the deployment of deep learning and artificial intelligence (AI), enabled largely by the massive data sets that the field can generate. Key to most AI tasks is the availability of a sufficiently large, labeled data

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbe6684a33daa7697d95b00978cd3fd1
https://pubmed.ncbi.nlm.nih.gov/34620993