Results 11 to 20 of about 6,511 (198)
Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source
Network topology drives population temporal variability in experimental habitat networks
Population Ecology, EarlyView.Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu +3 more
wiley +1 more source
Molecular Oncology, EarlyView.This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh +8 more
wiley +1 more source
Molecular Oncology, EarlyView.Screening 166 FDA‐approved anticancer drugs identifies the aromatase inhibitor Exemestane as a synergistic partner of PARP inhibitor Olaparib in BRCA‐proficient triple‐negative breast cancer. Exemestane induces ROS‐mediated replication stress, enhancing DNA damage and apoptosis alongside Olaparib.
Nur Aininie Yusoh +5 more
wiley +1 more source
Decrypting cancer's spatial code: from single cells to tissue niches
Molecular Oncology, EarlyView.Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik +4 more
wiley +1 more source
Interaction of class III cellobiose dehydrogenase with lytic polysaccharide monooxygenase
FEBS Open Bio, EarlyView.The activity of lytic polysaccharide monooxygenase (LPMO) is supported by its auxiliary enzyme cellobiose dehydrogenase (CDH). The catalytic activity of both enzymes is coupled by electron transfer and a cyclic cascade generating substrates for both enzymes – hydrogen peroxide for LPMO and oxidized and non‐oxidized cellobiose and cello‐oligosaccharide ...
Angela Giorgianni +4 more
wiley +1 more source
Association of the ICH Score With Withdrawal of Life‐Sustaining Treatment Over a 10‐Year Period
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The intracerebral hemorrhage (ICH) score was developed to enhance provider communication and facilitate early severity assessment. We examined the association of the ICH score with mortality and withdrawal of life‐sustaining treatment (WLST) in a large, multicenter stroke registry, and evaluated temporal trends in these associations.
Nina Massad +15 more
wiley +1 more source
Arthritis Care &Research, EarlyView.As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Comorbid depression is prevalent in adults with IA, affecting 15% to 39% of people. Although pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox +3 more
wiley +1 more source
Arthritis Care &Research, Accepted Article.Background In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of a scleroderma patient's ...
Ji Soo Kim +18 more
wiley +1 more source
Arthritis Care &Research, Accepted Article.Objectives Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centred care and informing local service pathways and care guidelines or standards.
Sonia Ranelli +8 more
wiley +1 more source