{"paper":{"title":"AIMBio-Mat: An AI-Native FAIR Platform for Closed-Loop Materials Discovery and Biomedical Translation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","physics.bio-ph","physics.med-ph"],"primary_cat":"physics.app-ph","authors_text":"A. Ghasemi, A. Mahat, A. Majeed, A. M. Castillo, A. Nawaz, A. Prem, B. Cui, B. D. S. Gurung, B. Lama, B. V. Benson, C. M. Adhikari, C. S. Tadi, C.-X. Yu, D. Chakraborty, D. Kim, D.-M. Mei, D. Zeng, E. Z. Gnimpieba, G.-L. Yin, H. A. Hashim, H. Oli, J. Mammo, K. Acharya, K. Bhatta, K.-C. Kong, K.-E. Hasin, K.-M. Dong, K. Rana Magar, K. S. Moore, L. Pandey, L.-W. Wang, M. Adhikari, M. K. Hassanzadeh, M. K. Jha, M. M. Masud, M. M. Rana, M. Zhou, N. Budhathoki, N. Maharjan, Q. Zhou, R. D. Cruz, R. Gapuz, R. I. Harry, R. Pandey, R. Rizk, S. A. Panamaldeniya, S. Aryal, S. Bhattarai, S. Chhetri, S. Choudhury, S. Dhital, T. A. Chowdhury, Y. Yang, Z. Peng","submitted_at":"2026-05-20T12:18:49Z","abstract_excerpt":"Materials discovery and biomedical translation increasingly require models that can reason across composition, processing, structure, biological response, manufacturability, safety, and governance constraints. Existing materials and biomedical data ecosystems are powerful but remain poorly coupled for AI-guided discovery. Here we present AIMBio, a conceptual framework for an AI-native, FAIR, and governance-aware decision layer that links materials provenance, biomedical context, knowledge graphs, uncertainty-aware machine learning, and human-in-the-loop active learning. The framework formulate"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.21083","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.21083/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}