A review of feature selection strategies utilizing graph data structures and knowledge graphs

S Shao, PH Ribeiro, C Ramirez, JH Moore - arXiv preprint arXiv …, 2024 - arxiv.org
Feature selection in Knowledge Graphs (KGs) are increasingly utilized in diverse domains,
including biomedical research, Natural Language Processing (NLP), and personalized …

KRAGEN: a knowledge graph-enhanced RAG framework for biomedical problem solving using large language models

N Matsumoto, J Moran, H Choi, ME Hernandez… - …, 2024 - academic.oup.com
Results Knowledge Retrieval Augmented Generation ENgine (KRAGEN) is a new tool that
combines knowledge graphs, Retrieval Augmented Generation (RAG), and advanced …

Enhancing Biomedical Knowledge Discovery for Diseases: An End-To-End Open-Source Framework

C Theodoropoulos, AC Coman, J Henderson… - arXiv preprint arXiv …, 2024 - arxiv.org
The ever-growing volume of biomedical publications creates a critical need for efficient
knowledge discovery. In this context, we introduce an open-source end-to-end framework …

DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature

D Li, S Yang, Z Tan, JY Baik, S Yun, J Lee… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent advancements in large language models (LLMs) have achieved promising
performances across various applications. Nonetheless, the ongoing challenge of …

ABORDAGENS TERAPÊUTICAS EMERGENTES PARA O TRATAMENTO DA DOENÇA DE ALZHEIMER

MFB Sobral, JVB Weber… - Revista …, 2024 - ojs.revistacontemporanea.com
A doença de Alzheimer é uma doença crônica que afeta o cérebro e causa problemas de
memória, pensamento e comportamento devido ao acúmulo de proteínas prejudiciais. A …