Results 101 to 110 of about 51,179 (283)
Advanced Experiment Design Strategies for Drug Development
Advanced Intelligent Discovery, EarlyView.Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Tissue engineering approaches to develop cultured meat from cells: A mini review
Cogent Food & Agriculture, 2017 Cultured meat production is an innovative and emerging process to produce animal meat in laboratories, using tissue-engineering techniques. This novel approach to produce meat involves in vitro culture of the animal muscle tissues rather than rearing ...
Muhammad Sajid Arshad +5 more
doaj +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
Advanced Intelligent Discovery, EarlyView.This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
Advanced Intelligent Discovery, EarlyView.A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
Quantifying meat spoilage with an array of biochemical indicators [PDF]
, 2010 Freshness and safety of muscle foods are generally considered as the most important parameters for the food industry. It is crucial to validate and establish new rapid methods for the accurate detection of microbial spoilage of meats.
Argyri, Anthoula A.
core
From the Lab to the Supermarket: In Vitro Meat as a Viable Alternative to Traditional Meat Production [PDF]
, 2015 In 1932, Winston Churchill predicted that 50 years in the future we shall escape the absurdity of growing a whole chicken in order to eat the breast or wing by growing these parts separately under a suitable medium.
Norton, Trae
core +2 more sources
Journal of the American Oil Chemists' Society, EarlyView.ABSTRACT Mayonnaise, a widely consumed oil‐in‐water emulsion, is highly susceptible to lipid oxidation due to its high content of polyunsaturated fatty acids (PUFAs) and the presence of pro‐oxidant factors such as low pH and iron from egg yolk. Over the past three decades, extensive research has focused on understanding oxidation mechanisms, analytical
Sakhi Ghelichi +2 more
wiley +1 more source
Recent advances in bioengineered scaffold for in vitro meat production. [PDF]
Cell Tissue Res, 2023 Singh A +6 more
europepmc +1 more source
An Ethical Argument for In Vitro Meat [PDF]
, 2018 This paper makes a moral argument for why in vitro meat should be adopted in favour of traditional forms of meat on the basis that doing so would reduce animal suffering.
Vido, Christian
core +1 more source