Results 61 to 70 of about 5,911,579 (291)
Taking Causal Modeling to a Next Level:Self-Modeling Networks Adding Adaptivity to Causality [PDF]
, 2020 This paper covers the contents of a Keynote Speech with the same title. Causal modeling is an intuitive, declarative way of modeling that due to the universal character of causality in principle applies to practically all disciplines.
Treur, Jan; id_orcid
core +1 more source
A fast dynamic causal modeling regression method for fMRI
NeuroImageDynamic Causal Modeling (DCM) is a crucial tool for studying brain effective connectivity, offering valuable insights into brain network dynamics through functional magnetic resonance imaging (fMRI) and electrophysiology (EEG and MEG).
Haifeng Wu, Xinhang Hu, Yu Zeng
doaj +1 more source
Pediatric 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
Attentional Enhancement of Auditory Mismatch Responses: a DCM/MEG Study. [PDF]
, 2015 Despite similar behavioral effects, attention and expectation influence evoked responses differently: Attention typically enhances event-related responses, whereas expectation reduces them.
Auksztulewicz, R, Friston, K
core
FEBS Letters, EarlyView.Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
From prediction to intervention: causal digital twins for personalized clinical decision support
Journal of Translational MedicineObjective This work proposes a unified framework for causal digital twins, integrating Structural Causal Models (SCMs), the Potential Outcomes Framework, and reinforcement learning.
Alexandre Vallée
doaj +1 more source
Dysconnectivity in the frontoparietal attention network in schizophrenia
Frontiers in Psychiatry, 2013 Cognitive impairment is common in patients with schizophrenia (SZs), and even those with relatively preserved function perform worse than healthy volunteers (HVs) on attentional tasks.
Jonathan P Roiser +7 more
doaj +1 more source
Causal Discovery of Stochastic Dynamical Systems: A Markov Chain Approach
Mathematics, 2023 Our proposed method for exploring the causal discovery of stochastic dynamic systems is designed to overcome the limitations of existing methods in detecting hidden and common drivers.
Marcell Stippinger +4 more
doaj +1 more source
Discovering Brain Mechanisms Using Network Analysis and Causal Modeling [PDF]
, 2017 Mechanist philosophers have examined several strategies scientists use for discovering causal mechanisms in neuroscience. Findings about the anatomical organization of the brain play a central role in several such strategies.
Naftali Weinberger +3 more
core +1 more source