Results 141 to 150 of about 40,713,079 (253)

A Generalizable Multimodal Model for Treatment‐Stratified Risk and Survival Assessment under Real‐World Constraints: A Multi‐Center Study of Colorectal Cancer

Advanced Science, EarlyView.
DAIMS is a multimodal model for treatment stratified risk and survival assessment in colorectal cancer. Training draws on pathology, genomics, and clinical reports, yet inference requires only whole slide images, and adaptation to new cohorts proceeds without target survival outcomes.
Chuangjie Cao, Zheyi Ji, Chang He, Jiying Wang, Xiaoming Luo, Junyi Liu, Xiaohu Jing, Fang Yan, Yirong Chen, Linhao Qu, Sen Yang, Le Lu, Yuming Jiang, Xiyue Wang, Chengyun Dou, Junhan Zhao   +15 more
wiley   +1 more source

Boosting foundation models for rare eye disease diagnosis via a multimodal text-to-image generative framework. [PDF]

NPJ Digit Med
Chen R, Zhang W, Liu B, Wu X, Chen X, Xu P, Liu S, He M, Shi D.   +8 more
europepmc   +1 more source

What happens when multimodality comes into the classroom? [Elektronisk resurs] : A study of Swedish children’s use of multiple modes while creating narrative text

, 2016
The aim of this study is to analyse and describe the impact of digital devices with a multimodal character on children's creations of narrative texts. The focus will be on the process of creating texts, the conditions for creating texts and the results ...
Dahlström, Helene,
core  

An Expertise Transfer Framework For Autonomous Surgical Assistance

Advanced Science, EarlyView.
This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao, Guangdi Chu, Wei Jiao, Yuchuan Zhong, Hang Yuan, Chengjun Li, Jinhua Li, Shuxin Wang, Bo Guan, Jianchang Zhao, Lizhi Pan, Haitao Niu, Jianmin Li   +12 more
wiley   +1 more source

Multimodal text guided network for chest CT pneumonia classification. [PDF]

Sci Rep
Feng Y, Huang G, Ju F, Cui H.
europepmc   +1 more source

Mechanism‐Informed Language Modeling and Oxygenated 3D Screening Identify Berberine–Enzalutamide Synergy in Prostate Cancer Models

Advanced Science, EarlyView.
By integrating knowledge‐augmented artificial intelligence with an oxygen‐supplemented 3D screening platform, a synergistic interaction between berberine and enzalutamide is identified. The framework integrates compound mechanisms of action with disease‐relevant signaling context to prioritize candidate combinations and generate testable pathway‐based ...
Chih‐Hui Lo, Katie Shi, Lina Kafadarian, Alexandra Bermudez, Johnny Diaz, Liam Edwards, Yunqi Hong, Ziyi Chen, Hyeonji Hwang, Weihong Yan, Alan Levinson, Robert Damoiseaux, Cho‐Jui Hsieh, Tanya Stoyanova, Andrew S. Goldstein, Neil Y.C. Lin   +15 more
wiley   +1 more source

Tap&Say: Touch Location-Informed Large Language Model for Multimodal Text Correction on Smartphones. [PDF]

Proc SIGCHI Conf Hum Factor Comput Syst
Zhao M, Cai S, Zhai S, Huang MX, Huang H, Ramakrishnan IV, Huang NG, Huang MG, Bi X.   +8 more
europepmc   +1 more source

Habitat‐Specific Design Strategies for Untethered Soft Robots

Advanced Science, EarlyView.
Habitat shapes the design of untethered soft robots. Across land, water, air, and living tissues, environmental constraints govern viable combinations of compliant structures, actuation mechanisms, and energy delivery. This review connects these constraints with robotic performance and identifies design principles for advancing adaptable, durable, and ...
Siyang Li, Zhikun Miao, Tuck‐Whye Wong, Tiefeng Li   +3 more
wiley   +1 more source

Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community-Related Posts on Social Media: Quantitative Study. [PDF]

J Med Internet Res
Nguyen TT, Yue X, Mane H, Seelman K, Mullaputi PSP, Dennard E, Alibilli AS, Merchant JS, Criss S, Hswen Y, Nguyen QC.   +10 more
europepmc   +1 more source

Data‐Driven and Physics‐Informed Modeling Perspectives for Soft Manipulators: From SINDy to Hybrid Intelligence

Advanced Science, EarlyView.
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui, Yunyi Wang, Teng Zhang, Yang Chen, Min Pan   +4 more
wiley   +1 more source