Challenges in developing cell culture media using machine learning
T Hashizume, BW Ying - Biotechnology Advances, 2024 - Elsevier
Microbial and mammalian cells are widely used in the food, pharmaceutical, and medical
industries. Developing or optimizing culture media is essential to improve cell culture …
industries. Developing or optimizing culture media is essential to improve cell culture …
[HTML][HTML] AI applications in functional genomics
We review the current applications of artificial intelligence (AI) in functional genomics. The
recent explosion of AI follows the remarkable achievements made possible by “deep …
recent explosion of AI follows the remarkable achievements made possible by “deep …
Chaos as an interpretable benchmark for forecasting and data-driven modelling
W Gilpin - arXiv preprint arXiv:2110.05266, 2021 - arxiv.org
The striking fractal geometry of strange attractors underscores the generative nature of
chaos: like probability distributions, chaotic systems can be repeatedly measured to produce …
chaos: like probability distributions, chaotic systems can be repeatedly measured to produce …
[HTML][HTML] Combined mechanistic modeling and machine-learning approaches in systems biology–A systematic literature review
Background and objective Mechanistic-based Model simulations (MM) are an effective
approach commonly employed, for research and learning purposes, to better investigate …
approach commonly employed, for research and learning purposes, to better investigate …
Environmental Galenics: large-scale fortification of extant microbiomes with engineered bioremediation agents
V de Lorenzo - … Transactions of the Royal Society B, 2022 - royalsocietypublishing.org
Contemporary synthetic biology-based biotechnologies are generating tools and strategies
for reprogramming genomes for specific purposes, including improvement and/or creation of …
for reprogramming genomes for specific purposes, including improvement and/or creation of …
[HTML][HTML] Integrative approaches to abiotic stress management in crops: combining bioinformatics educational tools and artificial intelligence applications
Abiotic stresses, including drought, salinity, extreme temperatures and nutrient deficiencies,
pose significant challenges to crop production and global food security. To combat these …
pose significant challenges to crop production and global food security. To combat these …
Analyzing dispersive optical solitons in nonlinear models using an analytical technique and its applications
J Ahmad, Z Mustafa, J Habib - Optical and Quantum Electronics, 2024 - Springer
The article focuses on exploring three distinct equations: the Jimbo-Miwa equation (JME),
the generalized shallow water equation (GSWE), and the Hirota-Satsuma-Ito equation …
the generalized shallow water equation (GSWE), and the Hirota-Satsuma-Ito equation …
[HTML][HTML] Advances in flux balance analysis by integrating machine learning and mechanism-based models
The availability of multi-omics data sets and genome-scale metabolic models for various
organisms provide a platform for modeling and analyzing genotype-to-phenotype …
organisms provide a platform for modeling and analyzing genotype-to-phenotype …
Unsupervised quantification of naturalistic animal behaviors for gaining insight into the brain
MH McCullough, GJ Goodhill - Current Opinion in Neurobiology, 2021 - Elsevier
Neural computation has evolved to optimize the behaviors that enable our survival. Although
much previous work in neuroscience has focused on constrained task behaviors, recent …
much previous work in neuroscience has focused on constrained task behaviors, recent …
Deep reconstruction of strange attractors from time series
W Gilpin - Advances in neural information processing …, 2020 - proceedings.neurips.cc
Experimental measurements of physical systems often have a limited number of
independent channels, causing essential dynamical variables to remain unobserved …
independent channels, causing essential dynamical variables to remain unobserved …