Results 91 to 100 of about 2,022,125 (263)
Pediatric Blood &Cancer, EarlyView.ABSTRACT In pediatric patients, T‐cell lymphoblastic lymphoma (T‐LBL) survival exceeds 80%. Relapse remains associated with limited curative options. Frontline treatment is largely extrapolated from T‐cell acute lymphoblastic leukemia (T‐ALL) treatment, reflecting the ongoing debate, whether both entities represent distinct diseases or variants within ...
Marie C. Heider +4 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Blinatumomab is a bispecific T‐cell engager approved for the treatment of pediatric B‐cell acute lymphoblastic leukemia (B‐ALL). Outpatient home infusion reduces hospitalization burden and optimizes resource utilization, but is logistically challenging.
Angela Parra del Riego +10 more
wiley +1 more source
Efficient Algorithms for Mining Frequent Patterns from Sparse and Dense Databases
Journal of Intelligent Systems, 2015 In this article, we present a new approach for frequent pattern mining (FPM) that runs fast for both sparse and dense databases. Two algorithms, FEM and DFEM, based on our approach are also introduced.
Vu Lan, Alaghband Gita
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Treatment‐associated hepatotoxicity (TAH) is a common complication of pediatric acute lymphoblastic leukemia (ALL) treatment, but genetic risk factors remain poorly understood. We evaluated the SOD2 rs4880 variant in 544 children with ALL at Texas Children's Hospital. After adjusting for demographic and clinical covariates, the rs4880 C allele
Emily J. Mason +14 more
wiley +1 more source
Mining frequent patterns for AMP-activated protein kinase regulation on skeletal muscle
BMC Bioinformatics, 2006 Background AMP-activated protein kinase (AMPK) has emerged as a significant signaling intermediary that regulates metabolisms in response to energy demand and supply.
Chen Yi-Ping, Chen Qingfeng
doaj +1 more source
A numerical method for frequent pattern mining [PDF]
, 2009 Frequent pattern mining is one of the active research themes in data mining. It plays an important role in all data mining tasks such as clustering, classification, prediction, and association analysis.
Mamat, Ali +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background This study investigated how neighborhood‐level social determinants of health (SDOH), including redlining and neurological risk, interact to influence cognitive outcomes in children treated for brain tumors (CTBT). Methods A retrospective chart review of 161 CTBT aged 5–17 was conducted.
Alannah R. Srsich +5 more
wiley +1 more source
A Novel Internet of Things-Centric Framework to Mine Malicious Frequent Patterns
IEEE Access, 2019 There are a number of research challenges associated with Internet of Things (IoT) security, and one of these challenges is to design novel frameworks to mine malicious frequent patterns for identifying misuse and detecting anomalies without incurring ...
Nighat Usman +7 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Objective To compare the efficacy and safety of roxarestat versus recombinant human erythropoietin (rhEPO) in the management of renal anemia in patients undergoing maintenance hemodialysis. Methods This was a prospective, open‐label, randomized controlled trial.
Lingling Chen, Junjie Zhu, Qiaonan Ge
wiley +1 more source
THE DISCOVERY OF TOP-K DNA FREQUENT PATTERNS WITH APPROXIMATE METHOD
Malaysian Journal of Computing, 2014 Top-k frequent pattern discovery is indeed an association analysis concerning automatic extraction of the k most correlated and interesting patterns from large databases.
Nittaya Kerdprasop, Kittisak Kerdprasop
doaj +1 more source