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Bo Wang

6 papers indexed

openalexJournal of Intensive Care2026-07-26

Early prediction of intensive care unit-acquired weakness using quadriceps ultrasound and routine clinical variables: development and temporal validation of a prospective multicentre machine-learning model

Tongjuan Zou, 陈雪华, Jun Li, Xianying Lei, Hengyu Cai, Li Zhang, et al.

Intensive care unit-acquired weakness (ICUAW) is frequent in critically ill adults and is associated with adverse outcomes, but early recognition is difficult because standard diagnosis relies on volitional strength testing. In this prospective multicentre cohort study across 16…

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openalexAdvanced Science2026-07-24

From Folding Mechanics to Robotic Function: A Unified Modeling Framework for Compliant Origami

B Zhang, Bo Wang, Huajiang Ouyang, Zhigang Wu, Haohao Bi, Jiawei Xu, et al.

Origami-inspired architectures offer a powerful route toward lightweight, reconfigurable, and programmable robotic systems. Yet, a unified mechanics framework capable of seamlessly bridging rigid folding, elastic deformation, and stability-driven transitions in compliant origami…

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arxivcs.AI2026-07-23

DAGForge: Auditable Causal DAG Authoring with Biomedical Literature

Yi-han Sheu, Michael R. Steigman, Yu Zhou, Bo Wang, Fan-Yu Yen, Jordan W. Smoller

Constructing causal directed acyclic graphs (DAGs) is a core step in biomedical causal analysis, yet it remains a largely manual process. Analysts must connect study variables to prior literature, evaluate uncertain causal claims, and preserve sufficient provenance for expert rev…

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arxivcs.CVcs.AIcs.RO2026-07-03

Token-Based Affordance Grounding with Large Vision-Language Models

Seung Il Lee, Qinqian Lei, Daguang Xu, Dong Yang, Robby T. Tan, Yixin Chen, et al.

Affordance grounding aims to localize image regions that support a specific action, serving as a core capability for physical intelligence and embodied perception. Previous studies have primarily relied on weakly supervised learning with action labels from exocentric images. Howe…

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crossrefBioengineering2024-04-26Cited by 11

Diagnosis of Forme Fruste Keratoconus Using Corvis ST Sequences with Digital Image Correlation and Machine Learning

Lanting Yang, Kehan Qi, Peipei Zhang, Jiaxuan Cheng, Hera Soha, Yun Jin, et al.

Purpose: This study aimed to employ the incremental digital image correlation (DIC) method to obtain displacement and strain field data of the cornea from Corvis ST (CVS) sequences and access the performance of embedding these biomechanical data with machine learning models to di…

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