{"doi":"10.1101/2023.07.24.550346","title":"Discovering genetic biomarkers for targeted cancer therapeutics with eXplainable AI","abstract":"Explainable Artificial Intelligence (XAI) enables a holistic understanding of the complex and nonlinear relationships between genes and prognostic outcomes of cancer patients. In this study, we focus on a distinct aspect of XAI - to generate accurate and biologically relevant hypotheses and provide a shorter and more creative path to advance medical research. We present an XAI-driven approach to discover otherwise unknown genetic biomarkers as potential therapeutic targets in high-grade serous ovarian cancer, evidenced by the discovery of IL27RA, which leads to reduced peritoneal metastases when knocked down in tumor-carrying mice given IL27-siRNA-DOPC nanoparticles. Summary: Explainable Artificial Intelligence is amenable to generating biologically relevant testable hypotheses despite their limitations due to explanations originating from post hoc realizations.","journal":"教育艺术","year":2023,"id":400222,"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":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9514,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1176793,"name":"Elizabeth Gutierrez‐Chakraborty","orcid":null,"position":1,"is_corresponding":false},{"id":431914,"name":"Cristian Rodriguez‐Aguayo","orcid":"0000-0002-7880-7723","position":2,"is_corresponding":false},{"id":1176508,"name":"Hakan Başağaoğlu","orcid":"0000-0002-0729-0296","position":3,"is_corresponding":false},{"id":433076,"name":"Gabriel Lopez‐Berestein","orcid":null,"position":4,"is_corresponding":false},{"id":447759,"name":"Paola Amero","orcid":"0000-0002-7503-0381","position":5,"is_corresponding":false},{"id":1176507,"name":"Debaditya Chakraborty","orcid":"0000-0002-2165-9440","position":0,"is_corresponding":true}],"reference_count":31,"raw_metadata":null,"created_at":"2026-07-19T01:20:00.023537Z","pmid":"37546729","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":[]}