Results 81 to 90 of about 41,060,851 (256)

To better benefit from shared tasks in biomedical text mining

open access: yes, 2019
présentation orale et résuméTo better benefit from shared tasks in biomedical text mining.
Bossy, Robert   +5 more
core   +2 more sources

DeepLNM: A Multimodal Model for Predicting Lymph Node Metastasis in Colorectal Cancer

open access: yesAdvanced Science, EarlyView.
Traditional diagnosis may miss positive LNM cases, and pathologists face a workload; therefore, we develop DeepLNM, a multimodal model that predicts lymph node metastasis in colorectal cancer from H&E WSIs, CT images, and text. DeepLNM is robust across internal, external, and prospective cohorts and, in a user study, improves diagnostic accuracy while ...
Zhengyu Zhang   +24 more
wiley   +1 more source

Automatic Arabic Text Classification

open access: yes, 2008
Automated document classification is an important text mining task especially with the rapid growth of the number of online documents present in Arabic language.
Khorsheed, M. S.   +4 more
core   +1 more source

An Expertise Transfer Framework For Autonomous Surgical Assistance

open access: yesAdvanced 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   +12 more
wiley   +1 more source

TEXT MINING TECHNOLOGY TO SUPPORT ENTERPRISE KNOWLEDGE MANAGEMENT [PDF]

open access: yes
A successful flexible enterprise must have an organization knowledge-based. In an era characterized by change, globalization and competition, knowledge is without doubt the most important asset for a company to gain a competitive advantage.
Domenico CONSOLI
core  

Bridging Chemical Literature and Molecular Graphs: LLM‐Augmented Enantioselectivity Prediction for Iridium‐Catalyzed Asymmetric C–H Borylation

open access: yesAdvanced Science, EarlyView.
A machine‐learning framework for asymmetric C–H borylation bridges multi‐entity 3D molecular graphs and chemical literature. Atom‐resolved mechanistic annotations extracted by large language models augment three‐component graph encoding of catalyst, substrate, and product. The model predicts enantioselectivity with high accuracy on unseen scaffolds and
Zhe Wang   +4 more
wiley   +1 more source

LLM‐Assisted Design of Ultralow‐κ$\kappa$ Chalcogenides

open access: yesAdvanced Science, EarlyView.
An AI assisted, physics guided workflow accelerates the discovery of ultralow thermal conductivity materials by combining Bayesian optimization, evidence conditioned LLM reasoning, and automated physics‐based validation. The framework uncovers dynamically stable Ag based chalcogenides with ultralow thermal conductivity and promising thermoelectric ...
Yujie Liu   +9 more
wiley   +1 more source

A Survey of the Applications of Text Mining for the Food Domain

open access: yesAlgorithms
In the food domain, text mining techniques are extensively employed to derive valuable insights from large volumes of text data, facilitating applications such as aiding food recalls, offering personalized recipes, and reinforcing food safety regulation.
Shufeng Xiong   +4 more
doaj   +1 more source

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

open access: yesAdvanced 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   +15 more
wiley   +1 more source

Toward Sustainable Separation and Recovery of Critical Metals From Discarded Industrial Perovskite Solar Modules

open access: yesAdvanced Science, EarlyView.
An architecture‐guided recycling process enables selective metal recovery from end‐of‐life perovskite solar modules by exploiting interfacial accessibility and calcination‐induced phase transformation. The process achieves >99.8% Pb removal, >99.7% In recovery, and >96.1% Cu recovery, while selectively retaining Sn in leaching residue.
Guang Hu   +13 more
wiley   +1 more source

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