Results 101 to 110 of about 4,726 (169)

An Integrative Strategy Delineates Modular Metabolic Remodeling and Potential Therapeutic Targets Across Metabolic Diseases

open access: yesAdvanced Science, EarlyView.
An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang   +10 more
wiley   +1 more source

Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization

open access: yesAdvanced Science, EarlyView.
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley   +1 more source

MAM‐Localized MANF Counteracts Microinflammatory Stress to Attenuate Mitochondrial Dysfunction and Cataractogenesis in High Myopia

open access: yesAdvanced Science, EarlyView.
Chronic microinflammation in high myopia suppresses MANF in lens epithelial cells. MANF normally resides within MAMs and promotes ubiquitin‐mediated degradation of the ER Ca2+ pump SERCA2. MANF loss causes pathological SERCA2 accumulation, MAM hyperassembly, and disrupted ER‐to‐mitochondria Ca2+ transfer, leading to mitochondrial failure, oxidative ...
Xin Liu   +8 more
wiley   +1 more source

Machine Learning-Based Prediction of Polymer Properties Using Structure-Property Relationship Modeling. [PDF]

open access: yesPolymers (Basel)
Rahman MH   +5 more
europepmc   +1 more source

High Tree Species Diversity Promotes Thermal Enhancement Response of Microbial Carbon Use Efficiency

open access: yesAdvanced Science, EarlyView.
ABSTRACT Predicting soil carbon dynamics under warming is constrained by limited understanding of microbial thermal adaptation, particularly whether microbial carbon use efficiency (CUE) can adapt to warming and how plant diversity modulates this response. Using soils from a natural tree species diversity gradient in a subtropical forest, we combined a
Pengpeng Duan   +11 more
wiley   +1 more source

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

open access: yesAdvanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang   +12 more
wiley   +1 more source

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