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Ji-Han Wang

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Review Open access Sep 2026

Large language models for bioink knowledge extraction, design, and biofabrication workflow automation: A critical conceptual review

Three-dimensional (3D) bioprinting offers precise spatial control for fabricating cell-laden constructs, yet bioink development remains constrained by labor-intensive trial-and-error experiments and fragmented reporting. Conventional machine-learning pipelines can support quantitative property prediction but generally...

Yang-Yang Wang, Jia-Xun Zhang, Hao-Tian Bai et al. · 0 citations
#diffusion models Review Open access Sep 2026

Artificial intelligence-driven drug discovery: a deep learning paradigm shift in pharmaceutical research and development

To bridge the gap between in silico predictions, chemical synthesis, and biological reality, emerging solutions such as federated learning, causality-aware Explainable AI, closed-loop autonomous laboratories, and efficiency-oriented algorithmic strategies are explored.

Xue-Yuan Bi, Yang-Yang Wang, Ji-Han Wang et al. · 0 citations

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