Výsledky vyhledávání - "Michael Blum"

Akademický článek

Robust evaluation of deep learning-based representation methods for survival and gene essentiality prediction on bulk RNA-seq data

Autor: Baptiste Gross, Antonin Dauvin, Vincent Cabeli, Virgilio Kmetzsch, Jean El Khoury, Gaëtan Dissez, Khalil Ouardini, Simon Grouard, Alec Davi, Regis Loeb, Christian Esposito, Louis Hulot, Ridouane Ghermi, Michael Blum, Yannis Darhi, Eric Y. Durand, Alberto Romagnoni

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)

Abstract Deep learning (DL) has shown potential to provide powerful representations of bulk RNA-seq data in cancer research. However, there is no consensus regarding the impact of design choices of DL approaches on the performance of the learned repr

Externí odkaz: https://doaj.org/article/968f562e2eaa473a80c0d6576df24c54

Zobrazit plný text záznamu

Plný text ve formátu HTML

Learning phenotypic patterns in genetic diseases by symptom interaction modeling

Autor: Julien Thevenon, Kevin Yauy, Nicolas Duforet-Frebourg, Quentin Testard, Sacha Beaumeunier, Jerome Audoux, Benoit Simard, DImitri Larue, Michael Blum, VIrginie Bernard, David Geneviève, Denis Bertrand, Nicolas Philippe

Observing phenotyping practices from an international cohort of 1,686 cases revealed heterogeneity of phenotype reporting among clinicians. Heterogeneity limited their exploitation for diagnosis as only 43% of symptom-gene associations in the cohort

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a22ed594c89e1a46ac9e01dfc7b612d7
https://doi.org/10.21203/rs.3.rs-2152267/v1

Zobrazit plný text záznamu

Akademický článek

Bevægelsespraksisser i dagtilbud

Autor: Ole Lund, Michael Blume, Jens-Ole Jensen

Publikováno v: Forskning i Pædagogers Profession og Uddannelse, Vol 8, Iss 2 (2024)

Med afsæt i en empirisk undersøgelse analyserer artiklen, hvilke bevægelsespraksisser der er til stede i dagtilbud. I artiklen anvendes et bevægelsesbegreb der tilstræber at balancere mellem en opfattelse af, at alt er bevægelse, fx at trække

Externí odkaz: https://doaj.org/article/bfaeb3eeb80645dfa921497529916c9c

Zobrazit plný text záznamu

Design and development of Referrals Automation, a SMART on FHIR solution to improve patient access to specialty care

Autor: Jerry J Young, Felicisimo Bautista, Ramakrishna Yerramsetty, Nathaniel Gleason, Hansen Lui, Edwin Martin, Aaron B. Neinstein, Michael Blum, Anobel Y. Odisho

Publikováno v: JAMIA Open
JAMIA open, vol 3, iss 3

Background Referring patients to specialty care is an inefficient and error-prone process. Gaps in the referral process lead to delays in patients’ access to care, negative patient experience, worse health outcomes, and increased operational costs.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c9e4a3fc8cb0821b66903b62630af6b
https://doi.org/10.1093/jamiaopen/ooaa036

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání