Advanced Experiment Design Strategies for Drug Development
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
Optimized hierarchical CLSTM model for sentiment classification of tweets using boosted killer whale predation strategy. [PDF]
Nithya T +8 more
europepmc +1 more source
Graph convolutional networks with hierarchical multi-head attention for aspect-level sentiment classification. [PDF]
Li X, Lu R, Liu P, Zhu Z.
europepmc +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
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
A novel framework for sentiment classification employing Bi-GRU optimized by enhanced human evolutionary optimization algorithm. [PDF]
Wang X, Nourmohammadi S.
europepmc +1 more source
Correction to: Effect of daily new cases of COVID-19 on public sentiment and concern: Deep learning-based sentiment classification and semantic network analysis. [PDF]
Che S, Wang X, Zhang S, Kim JH.
europepmc +1 more source
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu +5 more
wiley +1 more source
Advancing sentiment classification through a population game model approach. [PDF]
Punetha N, Jain G.
europepmc +1 more source
Context aware semantic adaptation network for cross domain implicit sentiment classification. [PDF]
Zuo E +4 more
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source

