Results 51 to 60 of about 3,430,428 (283)

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk   +10 more
wiley   +1 more source

Link Prediction in Bibliographic Networks [PDF]

open access: yes, 2020
Analysing bibliographic networks is important for understanding the process of scientific publications. A bibliographic network can be studied using the framework of Heterogeneous Information Networks (HINs). In this paper, we comparatively evaluate two different algorithms for link prediction in HINs on an instance of a bibliographic network.
Pantelis Chronis   +3 more
openaire   +2 more sources

Venetoclax‐Based Therapy as a Bridge to Hematopoietic Stem Cell Transplantation in Relapsed or Refractory Pediatric Acute Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Relapsed and/or refractory (R/R) pediatric acute leukemia carries a dismal prognosis, largely driven by chemoresistance to conventional salvage therapy. The BH3‐mimetic venetoclax, combined with chemotherapy or hypomethylating agents, has demonstrated efficacy in small clinical trials.
Katherine S. Colman   +9 more
wiley   +1 more source

A multiuser, multicarrier link adaptation atrategy for fading channels with PER constraints [PDF]

open access: yes, 2011
Link Adaptation can dynamically adjust a number of transmission parameters, most often modulation and coding, to reflect the characteristics of the wireless link to improve throughput and maintain link reliability.
M. Nicolaou   +7 more
core   +1 more source

Graph Neural Networks for Link Prediction

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference, 2023
Graph Neural Networks (GNNs) belong to a class of deep learning methods that are specialized for extracting critical information and making accurate predictions on graph representations.
Alina Lazar
doaj   +1 more source

Biphasic Clinical Course of Pediatric Cytomegalovirus‐Associated Immune Thrombocytopenia: Early Poor Treatment Response but Favorable Long‐Term Outcomes

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad   +9 more
wiley   +1 more source

Link Prediction Using Evolutionary Neural Network Models

open access: yes, 2019
Link prediction aims to represent the dynamic networks’ relationships of the real world in a model for predicting future links or relationships. This model can help in understanding the evolution of interactions and relationships between network members.
Yaghi, Rawan I   +11 more
core   +1 more source

Bone Mineral Density After Contemporary Treatment for Acute Lymphoblastic Leukaemia: A Matched Cross‐Sectional Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Reduced bone mineral density (BMD) has been reported in survivors of childhood and young adult acute lymphoblastic leukaemia (ALL); however, data from cohorts treated with contemporary protocols and including matched controls remain limited.
Karen Schow Jensen   +10 more
wiley   +1 more source

Community-Aware Evolution Similarity for Link Prediction in Dynamic Social Networks

open access: yesMathematics
The link prediction problem is a time-evolving model in network science that has simultaneously abetted myriad applications and experienced extensive methodological improvement. Inferring the possibility of emerging links in dynamic social networks, also
Nazim Choudhury
doaj   +1 more source

Link Prediction with Hypergraphs via Network Embedding

open access: yesApplied Sciences, 2022
Network embedding is a promising field and is important for various network analysis tasks, such as link prediction, node classification, community detection and others.
Zijuan Zhao, Kai Yang, Jinli Guo
doaj   +1 more source

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