Large language models llms - Open Access .click

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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 +4 more
wiley +1 more source

Roadmap for using large language models (LLMs) to accelerate cross-disciplinary research with an example from computational biology. [PDF]

Discov Artif Intell
Ke R, Ribeiro RM.
europepmc +1 more source

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

A Student-Centered Approach Towards Implementing Large Language Models (LLMs) in Medical Education. [PDF]

Med Sci Educ
Herpin LP +6 more
europepmc +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source

Ethical Risks and Safeguards in Generative AI: Managing Impacts on Cognition and Decision-Making

Langues & Cultures
This study concentrates on the double-edged nature of AI as an innovation enabler and a source of ethical issues such as hallucinations, disinformation, and output variability and brittleness of large language models (LLMs) to prompts and context. As AI
Houda BOUMEDIENE +2 more
doaj

Cell type annotation using large language models (LLMs) and CytoAnalyst. [PDF]

Bioinform Adv
Nguyen K +5 more
europepmc +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

Advanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin +4 more
wiley +1 more source

When Large Language Models (LLMs) walk into a Bachelor's in optometry examination: Comparing the performances of LLMs and bachelor of optometry students. [PDF]

Indian J Ophthalmol
Arora A +7 more
europepmc +1 more source

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