Results 81 to 90 of about 8,960,592 (314)

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Research Data Management in the Humanities: Challenges and Opportunities in the Canadian Context

Digital Studies
In recent years, research funders across the world have implemented mandates for research data management (RDM) that introduce new obligations for researchers seeking funding.
Lisa Goddard, Shahira Khair, Stefan Higgins   +2 more
doaj   +2 more sources

Prognostic Impact of Treatment Modalities, Including Targeted Compartmental Radio‐Immunotherapy, in a Cohort of Neuroblastoma Patients With CNS Metastases at Relapse

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez, Anna Felip‐Badia, Marina Caballero‐Bellon, Nazaret Sanchez‐Sierra, Alicia Castañeda, Moira Garraus, Maite Gorostegui, Margarida Simão‐Rafael, Juan Pablo Muñoz, Marta Perez‐Somarriba, Salvador Mañe, Mariana Cecilia Planells, Sara Perez‐Jaume, Jaume Mora   +13 more
wiley   +1 more source

Employing Hybrid AI Systems to Trace and Document Bias in ML Pipelines

IEEE Access
Artificial Intelligence (AI) systems can introduce biases that lead to unreliable outcomes and, in the worst-case scenarios, perpetuate systemic and discriminatory results when deployed in the real world.
Mayra Russo, Yasharajsinh Chudasama, Disha Purohit, Sammy Sawischa, Maria-Esther Vidal   +4 more
doaj   +1 more source

Elektronische Laborbücher als Teil des Forschungsdatenmanagements in den Lebenswissenschaften

GMS Medizin – Bibliothek – Information, 2019
Electronic laboratory books are increasingly replacing paper laboratory books. This offers advantages in operational handling, but is also a strategic decision with regard to the establishment of integrated rh data management for digital research data ...
Lindstädt, Birte
doaj   +1 more source

CaosDB - Research Data Management for Complex, Changing, and Automated Research Workflows

, 2019
Here we present CaosDB, a Research Data Management System (RDMS) designed to ensure seamless integration of inhomogeneous data sources and repositories of legacy data.
Fitschen, Timm, Hornung, Daniel, Luther, Stefan, Parlitz, Ulrich, Schlemmer, Alexander, Wörden, Henrik tom   +5 more
core   +1 more source

Improved Outcomes for Older Children, Adolescents, and Young Adults With Neuroblastoma in the Post‐Immunotherapy Era: An Updated Report From the International Neuroblastoma Risk Group

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background We describe clinical and biologic characteristics of neuroblastoma in older children, adolescents, and young adults (OCAYA); describe survival outcomes in the post‐immunotherapy era; and identify if there is an age cut‐off that best discriminates outcomes.
Rebecca J. Deyell, Kavitha Srivatsa, Paola Angelini, Pei‐Chi Kao, Brady Payne, Arlene Naranjo, Sveva Castelli, Miho Kato, Miki Ohira, Ulriche Pöetschger, Yaël Mossé, Lucas Moreno, Meredith S. Irwin, Ramya Ramanujachar, Wendy B. London   +14 more
wiley   +1 more source

Patient‐Level Barriers and Facilitators to Inpatient Physical Therapy in Adolescents and Young Adults With a Hematological Malignancy: A Qualitative Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher, Jennifer L. Bernstein, Katia M. Crisler, Julia K. Herriott, Kimberly L. Klages, Robin E. Norris, Mariann L. Strenk, Sarah E. Bills, Meghan E. McGrady   +8 more
wiley   +1 more source

Examination of Federal Data Management Plan Guidelines

Journal of eScience Librarianship, 2015
Data management plans as expectations of the grant proposal process are still fairly novel, and the expected format and content of these plans is still evolving.
Jennifer L. Thoegersen
doaj   +1 more source

Puzzled by Research Data Management? [PDF]

, 2014
A guide to help researchers at Exeter with their Research Data Management ...
Cole, Gareth, Evans, Jill, Hunt, Meg
core