Results 131 to 140 of about 109,600 (254)

Multicenter Evaluation of Large Language Models Versus Hepatologists for Prognostic Prediction in Drug-Induced Liver Injury. [PDF]

Liver Int
Fu H, Du Y, Zhao G, Xiao Y, Song S, Zang X, Zhou T, Zhuang Y, Mo R, Lai R, Xie Q.   +10 more
europepmc   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

End-to-End PET/CT Interpretation and Quantification with an LLM-Orchestrated AI Agent: A Real-World Pilot Study. [PDF]

J Nucl Med
Choi H, Bae S, Na KJ.
europepmc   +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

Bio-Inspired Artificial Intelligence Multimorbidity Score for Human-Machine Clinical Risk Stratification. [PDF]

Cyborg Bionic Syst
Liang J, Liu Y, Wang W, Xie Z, Lin Y, Qi J, Cai Y, He Y, Liang Y, Chen Y, Zhao S, Cheng Z, Wu F, Zhao H, Liang X, Zhang K, Yuan Y, Ni J, Lei X, Yao L, Liu Y, Huang Z, Lin D, Yin W, Liang H, Guo Z, Wei Q, He F, Jiang M, Zhong N, Liang Q, He J.   +31 more
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Disentangling interaction and bias effects in opinion dynamics of large language models. [PDF]

Nat Commun
Brockers VC, Ehrlich DA, Priesemann V.
europepmc   +1 more source

Design and development of an LLM-based algorithm for the picking of model-less objects

embargoed_20261006Stiamo assistendo ad un sempre più diffuso uso dell’ intelligenza artificiale in ambito industriale e privato. Se da un lato la comunità di ricerca ha già esplorato l’uso dell’ AI nella robotica domestica e collaborativa, in questo ...
COLLA, FRANCESCO
core  

LLM Students 1995-96

, 1996
The College of Law offers the Master of Laws (LL.M.) degree in environmental and resource law for students wishing to pursue postgraduate study in the legal aspects of natural resources, the environment, international environmental policy, public lands ...

core  

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source