{"doi":"10.1609/aaaiss.v5i1.35550","title":"A General Paradigm for Fine-Tuning Large Language Models in Alzheimer’s Disease Diagnosis","abstract":"Alzheimer's disease (AD), a complex neurodegenerative disorder, presents significant challenges for early and accurate diagnosis due to its multifactorial nature. This study introduces a novel approach to fine-tuning large language models (LLMs) for classifying AD-related dementia stages, using genetic and contextual demographic data. By harnessing the unique ability of LLMs to capture complex relationships in high-dimensional data, we developed a prompt structure that integrates genetic information, such as single nucleotide polymorphisms (SNPs), with patient-specific factors like age, sex, and clinical scores. Extensive experiments on the ADNI dataset demonstrate the superior performance of LLM-based methods. Our findings highlight the crucial role of high-quality prompts and carefully curated data in improving model accuracy. This research lays the groundwork for applying LLMs in precision medicine, providing a scalable and interpretable framework to address complex biomedical challenges, extending beyond AD.","journal":"Proceedings of the AAAI Symposium Series","year":2025,"id":555587,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.949,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1453856,"name":"Kun Zhao","orcid":"0000-0001-9949-4693","position":1,"is_corresponding":false},{"id":1331339,"name":"Guodong Liu","orcid":"0000-0002-3173-6462","position":2,"is_corresponding":false},{"id":91759,"name":"Haoteng Tang","orcid":"0000-0003-0323-1755","position":3,"is_corresponding":false},{"id":1454366,"name":"Marcus Zhan","orcid":null,"position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T02:54:59.329539Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}