Results 141 to 150 of about 15,093 (264)
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li +6 more
wiley +1 more source
Leveraging mathematical models to predict and control T-cell activation. [PDF]
Barreiro XR, Faro J, Villaverde AF.
europepmc +1 more source
Both SVF and CD31+ SVF improve spontaneous osteoarthritis, but CD31+ enrichment refines the therapeutic profile rather than broadly enhancing all effects. More distinct benefits are observed in extracellular matrix remodeling, osteochondral integrity, and subchondral/trabecular bone preservation, supporting CD31+‐enriched SVF as a biologically enhanced
Sijia Zhou +16 more
wiley +1 more source
Resolving non-identifiability mitigates systematic errors in simultaneous models of neural tuning and functional coupling. [PDF]
Sachdeva P +6 more
europepmc +1 more source
Neuron‐derived MIF binds VCAM1 on gastric cancer cells and activates ERK/STAT3 signaling, leading to CXCL8 transcription and secretion. Tumor‐derived CXCL8 subsequently stimulates neuronal CXCR2 to enhance MIF production, establishing a self‐amplifying MIF–VCAM1–CXCL8 positive‐feedback loop that promotes perineural invasion, tumor progression, and ...
Xunjun Li +13 more
wiley +1 more source
Bayesian uncertainty quantification to identify population level vaccine hesitancy behaviours. [PDF]
Warne DJ +9 more
europepmc +1 more source
A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen +15 more
wiley +1 more source
Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
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
Parameter identifiability of linear-compartmental mammillary models. [PDF]
Clemens K +4 more
europepmc +1 more source

