Model‐Enabled Knowledge Transfer Across Cell Lines, Culture Scales and Conditions
ABSTRACT Mechanistic models are central to quantitative understanding and optimization of Chinese hamster ovary (CHO) cell culture processes, but their utility is often restricted by parameter sets calibrated for specific cell lines, scales, or operating conditions.
Luxi Yu +2 more
wiley +1 more source
Operational Markov matrix formulation for structures in continuum plasma models. [PDF]
Panday N, Sharma D.
europepmc +1 more source
LLM‐Guided Parameter Optimization for Mechanistic CHO Cell Bioreactor Models
ABSTRACT Mechanistic models of Chinese Hamster Ovary (CHO) cell cultures are essential for efficient bioprocess development and control, yet parameter estimation remains a critical challenge in model calibration. As model complexity increases, the number of parameters grows and their values become highly system‐specific due to biological variability ...
Han Bit Kim +4 more
wiley +1 more source
Mechanism of Tungsten Film Adhesion Enhancement on Alumina Ceramics via Microgroove Spacing During Multi-Abrasive Scratching. [PDF]
Yang X, Wu J, Liu W, Ma W, Jiang C.
europepmc +1 more source
Evidence for adaptive explanations of semelparity in animals
ABSTRACT Semelparity, the reproductive strategy of reproducing once, is widespread but uncommon in animals. Classes of models to explain the evolution of semelparity are based either on age structure and mortality schedules – demographic models in which high post‐reproductive mortality risk favours high reproductive effort and semelparity results from ...
Diana O. Fisher +1 more
wiley +1 more source
Coclique level structure for stochastic chemical reaction networks. [PDF]
Bruno S +4 more
europepmc +1 more source
Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain. [PDF]
Di Antonio G +3 more
europepmc +1 more source
Uncertainty Quantification of the Mechanical Properties of 2D Hexagonal Cellular Solid by Analytical and Finite Element Method Approach. [PDF]
Iqbal S, Kamiński M.
europepmc +1 more source
Experimental-data-driven thermal conductivity prediction and inverse composition design for alloys. [PDF]
Phan AD +5 more
europepmc +1 more source

