Multimodal predictions of end stage chronic kidney disease from asymptomatic individuals for discovery of genomic biomarkers.
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| Title: | Multimodal predictions of end stage chronic kidney disease from asymptomatic individuals for discovery of genomic biomarkers. |
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| Authors: | Rabinovici-Cohen S; IBM Research, Haifa, Israel., Platt DE; IBM Research, Yorktown Heights, New York, USA., Iwamori T; IBM Research, Tokyo, Japan., Guez I; IBM Research, Haifa, Israel., Dey S; IBM Research, Yorktown Heights, New York, USA., Bose A; IBM Research, Yorktown Heights, New York, USA., Kudo M; IBM Research, Tokyo, Japan., Cosmai L; Onco-Nephrology Outpatients Clinic, Division of Nephrology & Dialysis, San Paolo Hospital, Milan, Italy., Porta C; Interdisciplinary Department of Medicine, University of Bari Aldo Moro, Bari, Italy.; Division of Medical Oncology, A.O.U. Consorziale Policlinico Di Bari, Bari, Italy., Koseki A; IBM Research, Tokyo, Japan., Meyer P; IBM Research, Yorktown Heights, New York, USA. pmeyerr@us.ibm.com. |
| Source: | BMC nephrology [BMC Nephrol] 2026 May 12. Date of Electronic Publication: 2026 May 12. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100967793 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1471-2369 (Electronic) Linking ISSN: 14712369 NLM ISO Abbreviation: BMC Nephrol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1471-2369 |
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| DOI: | 10.1186/s12882-026-05016-7 |
