Fedbatchdesigner: A User-Friendly Dashboard for Modeling and Optimizing Growth-Arrested Fed-Batch Processes. [PDF]
Graf AC +3 more
europepmc +1 more source
Task‐adaptive programmable optics enables label‐free virtual staining through optical‐attention‐guided acquisition and reconstruction. By optimizing wavelength, illumination angle, exposure time, and imaging depth, the framework learns task‐relevant optical measurements, generating clinically interpretable virtual stains with improved fidelity, non ...
Tianyue He +13 more
wiley +1 more source
The dynamic growth of bacterial cultures: real-time Bayesian estimation of substrate uptake rates in fed-batch fermentations of E. coli. [PDF]
Ibaceta M +5 more
europepmc +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
Reactor-based approach for achieving high-silica zeolites: a fed-batch strategy.
Javdani A +8 more
europepmc +1 more source
Scale-up of a monoclonal antibody CHO fed-batch production in stirred tank bioreactors: Effect of hydrodynamic conditions and feeding regimen. [PDF]
Lemire L +5 more
europepmc +1 more source
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
Small-scale fed-batch cultivations of Vibrio natriegens: overcoming challenges for early process development. [PDF]
Lüchtrath C +9 more
europepmc +1 more source
RHINO: An Integrative Multi‐Omics Framework Linking Circadian Physiology to Precision Medicine
RHINO (RHythmic Interacting Network for multi‐Omics) is an integrative framework that maps circadian regulation across diverse genetic and disease contexts and prioritizes druggable circadian targets. Released as an AI‐powered interactive web portal, RHINO unifies genetic, regulatory, disease, and drug–target information, enabling context‐specific ...
Ying Chen +12 more
wiley +1 more source
Temporal Galactose-Manganese Feeding in Fed-Batch and Perfusion Bioreactors Modulates UDP-Galactose Pools for Enhanced mAb Glycosylation Homogeneity. [PDF]
Gyorgypal A +4 more
europepmc +1 more source

