Results 151 to 160 of about 3,227,651 (213)

FatPlants 2.0: an AI‐powered platform integrating plant lipid genes, pathways, and literature

The Plant Journal, Volume 127, Issue 5, September 2026.
SUMMARY Plant lipid research depends on accessible databases that connect genes, pathways, and prior literature. However, currently available resources are fragmented, species‐limited, and lack AI‐powered interfaces for integrated querying. FatPlants 2.0 addresses these issues by integrating ARALIP, PlantFADB, and new Cuphea/Pennycress experimental ...
Yongfang Qin, Congyu Guo, Minseong Kim, Yichuan Zhang, Muhammad Azam, Tingyuan Xiao, Chunhui Xu, Basil Shorrosh, Timothy P. Durrett, Doug K. Allen, Trupti Joshi, Edgar B. Cahoon, Jay J. Thelen, Dong Xu   +13 more
wiley   +1 more source

Guideline-augmented large language models for contraindication screening in interventional spine care. [PDF]

Interv Pain Med
Lott J, Dietrich N.
europepmc   +1 more source

Benchmarking large language models for question answering on German clinical practice guidelines. [PDF]

BMJ Health Care Inform
Schwietering J, Lichtner G.
europepmc   +1 more source

Diversity-Aware Retrieval-Augmented Generation

Retrieval-Augmented Generation (RAG) has become a pivotal paradigm for improving Large Language Models (LLMs) in knowledge-intensive tasks by incorporating external knowledge sources.
Deng, Yuhan
core  

Fine-Tuning, Retrieval-Augmented Generation, and Hybrid Large Language Models for Postoperative Decision Support: Comparative Analysis. [PDF]

J Med Internet Res
Prabha S, Collaco BG, Gomez-Cabello CA, Haider SA, Genovese A, Fang Z, Wood N, Bagaria S, Tao C, Forte AJ.   +9 more
europepmc   +1 more source

Finite State Machine-Guided Retrieval-Augmented Generation Improves Expert-Rated Acceptability of a Peripherally Inserted Central Catheter Self-Management Chatbot: Single-Center Content Validation Study. [PDF]

J Med Internet Res
Lee M, Cho SB, Yu JW, Yoon J, Choi JB, Jung KH, Cho J.   +6 more
europepmc   +1 more source

Evaluation of a Retrieval-Augmented Generation-Based Large Language Model for Evidence-Based Herb and Supplement Information in Cancer Care. [PDF]

JMIR Cancer
Hou YN, Gubili J, Jain P, Lam CS, Chatterjee A, Mao JJ.   +5 more
europepmc   +1 more source

Evaluation Methods for Inference-Time Retrieval-Augmented and Graph Retrieval-Augmented Large Language Models in Health Care: Scoping Review. [PDF]

J Med Internet Res
Zhao Y, Miao Y, Guo R, Luo Y, Wang H, Wu Y.   +5 more
europepmc   +1 more source

Improving Clinical Trial Information Retrieval: Exploring the Role of Natural Language Processing and Retrieval-Augmented Generation

reservedThis thesis aims to develop a solution that processes public information and presents it in a clear, digestible format, improving the clinical trial experience for both participants and researchers.
MAHFOUZ, AURIANE
core  

Retrieval-Augmented Generation-Enabled Multimodal Large Language Model for Histopathologic Grading of Cutaneous Squamous Cell Carcinoma and Melanocytic Nevi. [PDF]

Cancers (Basel)
Mijares J, Gan E, Jairath NK, Hamad J, Alomari A, Ramachandran V, Que SKT.   +6 more
europepmc   +1 more source