Luis Marenco, MD
Associate Research Scientist
Research & Publications
Biography
News
Locations
Research Summary
- Evolvable database and application development.
- Semantically mediated data integration.
- Extensible federated data discovery, registration and interoperation.
- Clinical applications: for research, improving therapeutic adherence and mobile patient engagement.
Extensive Research Description
1. Evolvable database and application development. The evolving nature of neuroscience domain knowledge impacts traditional programming and database techniques. As a consequence, many applications built over years have become obsolete. To overcome this problem, I developed a data storage and application approach that is driven by metadata. This approach has helped the SenseLab project (including a suite of databases and applications) to evolve over more than 15 years.
2. Semantically mediated data integration. Federated data integration is a difficult task, partly due to a large amount of unstructured data, lack of metadata, and missing relationships. The Query Integrator System (QIS) was designed to overcome these problems. Portions of the QIS approach were later adopted by the Neuroscience Information Framework (NIF) to develop DISCO that supports integrative Web-based information dissemination.
3. Extensible federated data discovery, registration and interoperation: The DISCO application framework was created for the Neuroscience Information Framework that was funded as part of the NIH Neuroscience Blueprint. DISCO has been used to interoperate with data from over 250 heterogeneous databases containing more than a billion records and several terabytes of dense not indexed data. All information extracted by DISCO has been made available to NIF and SciCrunch.org to build aggregated data silos for specific scientific communities. DISCO also provides brokerage Pubmed LinkOut data from those databases; to both the US and Europe Entrez Websites. DISCO controls all the data ingestion and publication process to other components of the NIF infrastructure.
4. Clinical applications: for research, improving therapeutic adherence and mobile patient engagement. Metadata driven interfaces are important to build clinical trial applications. I contributed on the development of our Clinical Trials management system (TrialDB) database design, input programming interfaces, ad-hoc queries and reporting. As consultant and CIO of Medincentive, I helped designing and implementing Web database - IVR systems to improve patient therapeutic adherence. I also play a consulting role for the Yale Emergency department. I have designed and built the TRIS application that is a Web distributed system for creating EMA protocols in a centralized server to control any worldwide distributed client SMS server to interact with local patients via SMS carrier. The system was initially tested in New Zealand.
Coauthors
Research Interests
Computer Systems; Database Management Systems; Diagnosis, Computer-Assisted; Medical Informatics; Medical Records; Clinical Trial; Internet; Mobile Applications
Selected Publications
- SenseLab: Integration of Multidisciplinary Neuroscience DataShepherd G, Morse T, Marenco L, Cheung K, Carnevale T, Migliore M, McDougal R, Hines M, Miller P. SenseLab: Integration of Multidisciplinary Neuroscience Data 2022, 3069-3072. DOI: 10.1007/978-1-0716-1006-0_497.
- ModelDBMcDougal R, Wang R, Morse T, Migliore M, Marenco L, Carnevale T, Hines M, Shepherd G. ModelDB 2022, 2053-2056. DOI: 10.1007/978-1-0716-1006-0_158.
- Development of an on-line simulation environment for computational neuroscienceIKENO H, YAMAZAK T, KANNON T, OKUMURA Y, KAMIYAMA Y, ISHIHARA A, INAGAKI K, HIRATA Y, SATOH S, WAGATSUMA H, Yoshiyuki A, YAMAGUCHI Y, McDOUGAL R, Rixin W, MARENCO L, MORSE T, SHEPHERD G, Shiro U. Development of an on-line simulation environment for computational neuroscience INCF Japan Node International Workshop Advances In Neuroinformatics 2017, Ⅳ: 53. DOI: 10.14931/aini2016.ps.17.
- ORDB, HORDE, ODORactor and other on-line knowledge resources of olfactory receptor-odorant interactionsMarenco L, Wang R, McDougal R, Olender T, Twik M, Bruford E, Liu X, Zhang J, Lancet D, Shepherd G, Crasto C. ORDB, HORDE, ODORactor and other on-line knowledge resources of olfactory receptor-odorant interactions Database 2016, 2016: baw132. PMID: 27694208, PMCID: PMC5045865, DOI: 10.1093/database/baw132.
- SenseLab: Integration of Multidisciplinary Neuroscience DataShepherd G, Morse T, Marenco L, Cheung K, Carnevale T, Migliore M, McDougal R, Hines M, Miller P. SenseLab: Integration of Multidisciplinary Neuroscience Data 2015, 2655-2657. DOI: 10.1007/978-1-4614-6675-8_497.
- ModelDBMcDougal R, Wang R, Morse T, Migliore M, Marenco L, Carnevale T, Hines M, Shepherd G. ModelDB 2015, 1727-1730. DOI: 10.1007/978-1-4614-6675-8_158.
- Extending the NIF DISCO framework to automate complex workflow: coordinating the harvest and integration of data from diverse neuroscience information resourcesMarenco LN, Wang R, Bandrowski AE, Grethe JS, Shepherd GM, Miller PL. Extending the NIF DISCO framework to automate complex workflow: coordinating the harvest and integration of data from diverse neuroscience information resources Frontiers In Neuroinformatics 2014, 8: 58. PMID: 25018728, PMCID: PMC4071641, DOI: 10.3389/fninf.2014.00058.
- Chapter 2 Data Integration: An OverviewNadkarni P, Marenco L. Chapter 2 Data Integration: An Overview 2014, 15-47. DOI: 10.1016/b978-0-12-401678-1.00002-6.
- SenseLab: Integration of Multidisciplinary Neuroscience DataShepherd G, Morse T, Marenco L, Cheung K, Carnevale T, Migliore M, McDougal R, Hines M, Miller P. SenseLab: Integration of Multidisciplinary Neuroscience Data 2013, 1-3. DOI: 10.1007/978-1-4614-7320-6_497-1.
- ModelDBMcDougal R, Wang R, Morse T, Migliore M, Marenco L, Carnevale T, Hines M, Shepherd G. ModelDB 2013, 1-4. DOI: 10.1007/978-1-4614-7320-6_158-1.
- A hybrid human and machine resource curation pipeline for the Neuroscience Information FrameworkBandrowski A, Cachat J, Li Y, Müller H, Sternberg P, Ciccarese P, Clark T, Marenco L, Wang R, Astakhov V, Grethe J, Martone M. A hybrid human and machine resource curation pipeline for the Neuroscience Information Framework Database 2012, 2012: bas005. PMID: 22434839, PMCID: PMC3308161, DOI: 10.1093/database/bas005.
- Clinical Research Information SystemsNadkarni P, Marenco L, Brandt C. Clinical Research Information Systems 2012, 135-154. DOI: 10.1007/978-1-84882-448-5_8.
- The NIF DISCO Framework: Facilitating Automated Integration of Neuroscience Content on the WebMarenco L, Wang R, Shepherd GM, Miller PL. The NIF DISCO Framework: Facilitating Automated Integration of Neuroscience Content on the Web Neuroinformatics 2010, 8: 101-112. PMID: 20387131, PMCID: PMC3819210, DOI: 10.1007/s12021-010-9068-8.
- Implementing description-logic rules for SNOMED-CT attributes through a table-driven approachNadkarni PM, Marenco LA. Implementing description-logic rules for SNOMED-CT attributes through a table-driven approach Journal Of The American Medical Informatics Association 2010, 17: 182-184. PMID: 20190061, PMCID: PMC3000783, DOI: 10.1136/jamia.2009.001792.
- Automated Database Mediation Using Ontological Metadata MappingsMarenco L, Wang R, Nadkarni P. Automated Database Mediation Using Ontological Metadata Mappings Journal Of The American Medical Informatics Association 2009, 16: 723-737. PMID: 19567801, PMCID: PMC2744723, DOI: 10.1197/jamia.m3031.
- An intermittent reinforcement platform to increase adherence to medicationsKalayoglu MV, Reppucci M, Blaschke T, Marenco LN, Singer MS. An intermittent reinforcement platform to increase adherence to medications. American Journal of Pharmacy Benefits. 1(2):91-94, 2009
- The NIF LinkOut Broker: A Web Resource to Facilitate Federated Data Integration using NCBI IdentifiersMarenco L, Ascoli GA, Martone ME, Shepherd GM, Miller PL. The NIF LinkOut Broker: A Web Resource to Facilitate Federated Data Integration using NCBI Identifiers Neuroinformatics 2008, 6: 219-227. PMID: 18975149, PMCID: PMC2704600, DOI: 10.1007/s12021-008-9025-y.
- Database Architectures for Neuroscience ApplicationsNadkarni P, Marenco L. Database Architectures for Neuroscience Applications 2007, 401: 37-52. PMID: 18368359, DOI: 10.1007/978-1-59745-520-6_3.
- Interoperability Across Neuroscience DatabasesMarenco L, Nadkarni P, Martone M, Gupta A. Interoperability Across Neuroscience Databases 2007, 401: 23-36. PMID: 18368358, DOI: 10.1007/978-1-59745-520-6_2.
- Dynamic Tables: An Architecture for Managing Evolving, Heterogeneous Biomedical Data in Relational Database Management SystemsCorwin J, Silberschatz A, Miller PL, Marenco L. Dynamic Tables: An Architecture for Managing Evolving, Heterogeneous Biomedical Data in Relational Database Management Systems Journal Of The American Medical Informatics Association 2006, 14: 86-93. PMID: 17068350, PMCID: PMC2215074, DOI: 10.1197/jamia.m2189.
- QIS: A Framework for Biomedical Database FederationMarenco L, Wang TY, Shepherd G, Miller PL, Nadkarni P. QIS: A Framework for Biomedical Database Federation Journal Of The American Medical Informatics Association 2004, 11: 523-534. PMID: 15298995, PMCID: PMC524633, DOI: 10.1197/jamia.m1506.
- Achieving Evolvable Web-Database Bioscience Applications Using the EAV/CR Framework: Recent AdvancesMarenco L, Tosches N, Crasto C, Shepherd G, Miller PL, Nadkarni PM. Achieving Evolvable Web-Database Bioscience Applications Using the EAV/CR Framework: Recent Advances Journal Of The American Medical Informatics Association 2003, 10: 444-453. PMID: 12807806, PMCID: PMC212781, DOI: 10.1197/jamia.m1303.
- ModelDB: A Resource for Neuronal and Network ModelingDavison A, Morse T, Migliore M, Marenco L, Shepherd G, Hines M. ModelDB: A Resource for Neuronal and Network Modeling 2003, 99-109. DOI: 10.1007/978-1-4615-1079-6_7.
- Computational Methods and Bioinformatic ToolsCullen P, Lorkowski S, Hennig S, Poustka A, Panopoulou G, Lehrach H, Korsching E, Pickeral O, Herwig R, Kel A, Tchekmenev D, Wingender E, Streicher J, Müller G, Kawashima T, Makabe K, Dubchak I, Ji H, Okubo K, Kawamoto S, Fricke E, Karas D, Haubrock M, Land S, Rotert S, Chen X, Pontius J, Eveno E, Auffray C, Decraene C, Chelala C, Piétu G, Devignes M, Mariage‐Samson R, Imbeaud S, Bortoli S, Amit A, Ringwald M, de Veer M, Williams B, Walker E, Davies J, Grunau C, Baldock R, Davidson D, Stoeckert C, Pizarro A, Manduchi E, Grant G, Crabtree J, Liu J, Le P, McWeeney S, Welle S, Ball C, Botstein D, Binkley G, Sherlock G, Cherry J, Dolinski K, Issel‐Tarver L, Schroeder M, Dwight S, Wenig S, Matese J, Jin H, Gollub J, Hebert J, Kaloper M, Brown P, Hernandez‐Boussard T, Kumar A, Cheung K, Marenco L, Snyder M, Tosches N, Bertone P, Miller P, Masiar P, Liu Y, Pesole G, Marc P, Biswas M, Kersey P, Apweiler R, Hoogland C. Computational Methods and Bioinformatic Tools 2002, 769-904. DOI: 10.1002/352760149x.ch7.
- Integration of Multidisciplinary Sensory DataA Pilot Model of the Human Brain Project ApproachMiller P, Nadkarni P, Singer M, Marenco L, Hines M, Shepherd G. Integration of Multidisciplinary Sensory DataA Pilot Model of the Human Brain Project Approach Journal Of The American Medical Informatics Association 2001, 8: 34-48. PMID: 11141511, PMCID: PMC134590, DOI: 10.1136/jamia.2001.0080034.
- Easing the transition between attribute-value databases and conventional databases for scientific data.Nadkarni P, Marenco L. Easing the transition between attribute-value databases and conventional databases for scientific data. AMIA Annual Symposium Proceedings 2001, 483-7. PMID: 11825235, PMCID: PMC2243470.
- Reengineering a Database for Clinical Trials Management Lessons for System ArchitectsBrandt C, Nadkarni P, Marenco L, Karras B, Lu C, Schacter L, Fisk J, Miller P. Reengineering a Database for Clinical Trials Management Lessons for System Architects Contemporary Clinical Trials 2000, 21: 440-461. PMID: 11018562, DOI: 10.1016/s0197-2456(00)00070-2.
- GEM: A Proposal for a More Comprehensive Guideline Document Model Using XMLShiffman R, Karras B, Agrawal A, Chen R, Marenco L, Nath S. GEM: A Proposal for a More Comprehensive Guideline Document Model Using XML Journal Of The American Medical Informatics Association 2000, 7: 488-498. PMID: 10984468, PMCID: PMC79044, DOI: 10.1136/jamia.2000.0070488.
- Exploring Performance Issues for a Clinical Database Organized Using an Entity-Attribute-Value RepresentationChen R, Nadkarni P, Marenco L, Levin F, Erdos J, Miller P. Exploring Performance Issues for a Clinical Database Organized Using an Entity-Attribute-Value Representation Journal Of The American Medical Informatics Association 2000, 7: 475-487. PMID: 10984467, PMCID: PMC79043, DOI: 10.1136/jamia.2000.0070475.
- WebEAVAutomatic Metadata-driven Generation of Web Interfaces to Entity-Attribute-Value DatabasesNadkarni P, Brandt C, Marenco L. WebEAVAutomatic Metadata-driven Generation of Web Interfaces to Entity-Attribute-Value Databases Journal Of The American Medical Informatics Association 2000, 7: 343-356. PMID: 10887163, PMCID: PMC61439, DOI: 10.1136/jamia.2000.0070343.
- Olfactory Receptor Database: a sensory chemoreceptor resourceSkoufos E, Marenco L, Nadkarni P, Miller P, Shepherd G. Olfactory Receptor Database: a sensory chemoreceptor resource Nucleic Acids Research 2000, 28: 341-343. PMID: 10592268, PMCID: PMC102443, DOI: 10.1093/nar/28.1.341.
- Organization of Heterogeneous Scientific Data Using the EAV/CR RepresentationNadkarni P, Marenco L, Chen R, Skoufos E, Shepherd G, Miller P. Organization of Heterogeneous Scientific Data Using the EAV/CR Representation Journal Of The American Medical Informatics Association 1999, 6: 478-493. PMID: 10579606, PMCID: PMC61391, DOI: 10.1136/jamia.1999.0060478.
- Neuronal database integration: the Senselab EAV data model.Marenco L, Nadkarni P, Skoufos E, Shepherd G, Miller P. Neuronal database integration: the Senselab EAV data model. AMIA Annual Symposium Proceedings 1999, 102-6. PMID: 10566329, PMCID: PMC2232788.