Results 41 to 50 of about 2,480 (240)

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

Geospatial blockchain: promises, challenges, and scenarios in health and healthcare

International Journal of Health Geographics, 2018
A PubMed query run in June 2018 using the keyword ‘blockchain’ retrieved 40 indexed papers, a reflection of the growing interest in blockchain among the medical and healthcare research and practice communities.
Maged N. Kamel Boulos, James T. Wilson, Kevin A. Clauson   +2 more
doaj   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

Intent Identification by Semantically Analyzing the Search Query

Modelling
Understanding and analyzing the search intent of a user semantically based on their input query has emerged as an intriguing challenge in recent years.
Tangina Sultana, Ashis Kumar Mandal, Hasi Saha, Md. Nahid Sultan, Md. Delowar Hossain   +4 more
doaj   +1 more source

Semantic-Aware Top-k Multirequest Optimal Route

Complexity, 2019
In recent years, research on location-based services has received a lot of interest, in both industry and academic aspects, due to a wide range of potential applications.
Shuang Wang, Yingchun Xu, Yinzhe Wang, Hezhi Liu, Qiaoqiao Zhang, Tiemin Ma, Shengnan Liu, Siyuan Zhang, Anliang Li   +8 more
doaj   +1 more source

Arabidopsis Gene Family Profiler (aGFP) – user-oriented transcriptomic database with easy-to-use graphic interface

BMC Plant Biology, 2007
Background Microarray technologies now belong to the standard functional genomics toolbox and have undergone massive development leading to increased genome coverage, accuracy and reliability.
Reňák David, Dupl'áková Nikoleta, Hovanec Patrik, Honysová Barbora, Twell David, Honys David   +5 more
doaj   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Spatio-Temporal Keyword Query Processing Based on Key-Value Stores

Data Science and Engineering
With the popularity of mobile devices and the development of location technology, there is an increasing amount of text data with spatial and temporal tags generated.
Ruiyuan Li, Xiang He, Yingying Sun, Jun Jiang, You Shang, Guanyao Li, Chao Chen   +6 more
doaj   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source