Results 51 to 60 of about 60,929 (294)
Patients’ responses to incidentally discovered silent brain infarcts – a qualitative study
Journal of Patient-Reported Outcomes, 2019 Background Incidentally discovered silent brain infarcts (id-SBIs) are an understudied condition with probable clinical significance, but it is not known how patients respond to or prioritize this condition.
Lester Y. Leung +5 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási +14 more
wiley +1 more source
Sketch of Big Data Real-Time Analytics Model [PDF]
, 2015 Big Data has drawn huge attention from researchers in information sciences, decision makers in governments and enterprises. However, there is a lot of potential and highly useful value hidden in the huge volume of data.
Lu, Joan, Amen, Bakhtiar
core
Using Physics-Informed Neural Networks for Modeling Biological and Epidemiological Dynamical Systems
MathematicsPhysics-Informed Neural Networks (PINNs) have emerged as a powerful approach for integrating physical laws into a deep learning framework, offering enhanced capabilities for solving complex problems.
Amer Farea +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Immune effector cell‐associated hemophagocytic lymphohistiocytosis‐like syndrome (IEC‐HS) is a life‐threatening hyperinflammatory toxicity distinct from cytokine release syndrome (CRS) and neurotoxicity following chimeric antigen receptor T‐cell (CAR‐T) therapy. In a single‐institution retrospective cohort of pediatric and young adult patients
Thomas J. Galletta +6 more
wiley +1 more source
A Sociotechnical Perspective on Predictive Analytics Implementation
, 2023 Developing an effective business analytics function within a company has become a crucial component to an organization’s competitive advantage today. Predictive analytics enables an organization to make proactive, knowledge-driven decisions.
Nath, Ravi +3 more
core +3 more sources
Understanding Physics-Informed Neural Networks: Techniques, Applications, Trends, and Challenges
AIPhysics-informed neural networks (PINNs) represent a significant advancement at the intersection of machine learning and physical sciences, offering a powerful framework for solving complex problems governed by physical laws.
Amer Farea +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters +17 more
wiley +1 more source
Field Synopsis of the Role of Sex in Stroke Prediction Models
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2016 BackgroundGuidelines for stroke prevention recommend development of sex‐specific stroke risk scores. Incorporating sex in Clinical Prediction Models (CPMs) may support sex‐specific clinical decision making.
Jessica K. Paulus +8 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