The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Diagnosis of genetic diseases in seriously ill children by rapid whole-genome sequencing and automated phenotyping and interpretation
Open accessAbstract
Automated phenotyping and interpretation of rapid whole-genome sequencing improve time to diagnosis of genetic diseases in hospitalized children.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The lack of health care funding, the underpreparedness of the pediatric workforce, and the resource-intensive nature of rapid testing represent significant barriers to widespread adoption.”
In the citing paper
“The power of genomic diagnosis is especially clear for those presenting with monogenic neurodevelopmental disorders and critically ill infants135,136.”
From A brief history of human disease genetics (2020) · cites this paper as [136]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Richards, S., Aziz, N., Bale, S., Bick, D., Das, S., Gastier-Foster, J., Grody, W. W., Hegde, M., Lyon, E., Spector, E., et al. (2015) · Genetics in Medicine · doi:10.1038/gim.2015.30 · Cited by 32,594
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
Carlsson, G. (2009) · Bulletin of the American Mathematical Society · doi:10.1090/s0273-0979-09-01249-x · Cited by 2,302 · cited 1×
“Development of an autonomous diagnostic system has been hindered by a dearth of knowledge of the topography of the phenomes of children with suspected genetic diseases ( 36 , 42 – 44 ).”
BackgroundResnik, P. (1999) · Journal of Artificial Intelligence Research · doi:10.1613/jair.514 · Cited by 2,083
Abyzov, A., Urban, A. E., Snyder, M., & Gerstein, M. (2011) · Genome Research · doi:10.1101/gr.114876.110 · Cited by 1,658
InterVar: Clinical Interpretation of Genetic Variants by the 2015 ACMG-AMP Guidelines
Li, Q., & Wang, K. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.01.004 · Cited by 1,057
Mortality in the United States, 2020
Murphy, S. L., Kochanek, K. D., Xu, J., & Arias, E. (2021) · doi:10.15620/cdc:112079 · Cited by 864
Genetic Misdiagnoses and the Potential for Health Disparities
Manrai, A. K., Funke, B. H., Rehm, H. L., Olesen, M. S., Maron, B. A., Szolovits, P., Margulies, D. M., Loscalzo, J., & Kohane, I. S. (2016) · New England Journal of Medicine · doi:10.1056/nejmsa1507092 · Cited by 808
The ExAC browser: displaying reference data information from over 60 000 exomes
Karczewski, K. J., Weisburd, B., Thomas, B., Solomonson, M., Ruderfer, D. M., Kavanagh, D., Hamamsy, T., Lek, M., Samocha, K. E., Cummings, B. B., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw971 · Cited by 790
Research works printed but not linked: 2
- Committee on Approaching Death: Addressing Key End of Life Issues; Institute of Medicine in Dying in America: Improving Quality and Honoring Individual Preferences Near the End of Life (National Academies Press 2015) chap. Appendix F Pediatric End-of-Life and Palliative Care: Epidemiology and Health Service Use.
- National Center for Biotechnology Information National Library of Medicine Database of Single Nucleotide Polymorphisms (dbSNP) (2018); www.ncbi.nlm.nih.gov/dbvar?term=(%22clin%20pathogenic%22%5BFilter%5D)%20AND%20homo%20sapiens%5BOrganism%5D.
Cited by
Sorted by citations
Items 101–200 of 300
Ending a diagnostic odyssey—The first case of Takenouchi–Kosaki syndrome in an African patient
Flynn, K. A., Feben, C., Lamola, L., Carstens, N., Krause, A., & Lombard, Z. (2021) · Clinical Case Reports · doi:10.1002/ccr3.3966 · Cited by 16
High Bone Mass Disorders: New Insights From Connecting the Clinic and the Bench
Bergen, D. J. M., Maurizi, A., Formosa, M. M., McDonald, G. L. K., El‐Gazzar, A., Hassan, N., Brandi, M. L., Riancho, J. A., Rivadeneira, F., Ntzani, E., et al. (2020) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.4715 · Cited by 17
Peeters, S., Declerck, K., Thomas, M., Boudin, E., Beckers, D., Chivu, O., Heinrichs, C., Devriendt, K., de Zegher, F., Hul, W. V., et al. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa465 · Cited by 16
Ford, E. M., Curlewis, K., Squires, E., Griffiths, L. J., Stewart, R. J., & Jones, K. H. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.606599 · Cited by 15
Challenges in the clinical understanding of genetic testing in birth defects and pediatric diseases
Findley, T. O., Parchem, J. G., Ramdaney, A., & Morton, S. U. (2023) · Translational Pediatrics · doi:10.21037/tp-23-54 · Cited by 18
Lung biopsy in children's interstitial and diffuse lung disease: Does it alter management?
Hafezi, N., Heimberger, M. A., Lewellen, K. A., Maatman, T. K., Montgomery, G. S., & Markel, T. A. (2020) · Pediatric Pulmonology · doi:10.1002/ppul.24683 · Cited by 15
Moving Genomics to Routine Care
Aryan, Z., Szántó, A., Pantazi, A., Reddi, T. S., Rheinstein, C., Powers, W., Wilson, E., Deo, R. C., Chowdhury, S., Salz, L., et al. (2020) · Circulation Genomic and Precision Medicine · doi:10.1161/circgen.120.002961 · Cited by 15
Self-citationWhole‐genome sequencing holds the key to the success of gene‐targeted therapies
Vockley, J. E., Aartsma-Rus, A. M., Cohen, J. L., Cowsert, L. M., Howell, R. R., Yu, T. W., Wasserstein, M., & Defay, T. (2022) · American Journal of Medical Genetics Part C Seminars in Medical Genetics · doi:10.1002/ajmg.c.32017 · Cited by 14
Self-citationPhenotype driven molecular genetic test recommendation for diagnosing pediatric rare disorders
Chen, F., Ahimaz, P. R., Nguyen, Q. M., Lewis, R., Chung, W. K., Ta, C., Szigety, K. M., Sheppard, S. E., Campbell, I. M., Wang, K., et al. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01331-1 · Cited by 15
Clinical Bioinformatics in Precise Diagnosis of Mitochondrial Disease
Shen, L., McCormick, E. M., Muraresku, C. C., Falk, M. J., & Gai, X. (2020) · Clinics in Laboratory Medicine · doi:10.1016/j.cll.2020.02.002 · Cited by 15
Molecular testing for acute myeloid leukemia
Qin, D. (2021) · Cancer Biology and Medicine · doi:10.20892/j.issn.2095-3941.2020.0734 · Cited by 14
Clinical Massively Parallel Sequencing
Gao, G., & Smith, D. I. (2019) · Clinical Chemistry · doi:10.1373/clinchem.2019.303305 · Cited by 14
Oltvai, Z. N., Smith, E. A., Wiens, K. M., Nogee, L. M., Luquette, M. H., Nelson, A., & Wikenheiser‐Brokamp, K. A. (2020) · Molecular Case Studies · doi:10.1101/mcs.a005074 · Cited by 13
Liu, J., Yu, Z., Huang, J., Zhu, D., Zang, P., Luo, Z., Yang, Y., Peng, Y., Xiao, Z., Zhu, Y., et al. (2021) · Human Mutation · doi:10.1002/humu.24266 · Cited by 13
Hoffmann, G. F., Mundlos, C., Dötsch, J., & Hebestreit, H. U. (2020) · Monatsschrift Kinderheilkunde · doi:10.1007/s00112-020-00978-w · Cited by 12
Akesson, L. S., Bournazos, A., Fennell, A. P., Krzesinski, E. I., Tan, K., Springer, A., Rose, K., Goranitis, I., Francis, D. I., Lee, C., et al. (2020) · Human Mutation · doi:10.1002/humu.24101 · Cited by 12
Mackley, M. P., Agrawal, P. B., Ali, S., Archibald, A. D., McClaren, B., Ellard, H., Freeman, L., Gu, Y., Jayasinghe, K., Jiang, S., et al. (2025) · European Journal of Human Genetics · doi:10.1038/s41431-025-01925-7 · Cited by 14
Bidzimou, M.-T. K., & Landstrom, A. P. (2022) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2022.101978 · Cited by 11
Genetic testing for diffuse lung diseases in children
Hamvas, A., Chaudhari, B. P., & Nogee, L. M. (2023) · Pediatric Pulmonology · doi:10.1002/ppul.26447 · Cited by 11
Promises and challenges of genomic newborn screening (NBS) – lessons from public health NBS programs
Mori, M., Chaudhari, B. P., Ream, M. A., & Kemper, A. R. (2024) · Pediatric Research · doi:10.1038/s41390-024-03689-0 · Cited by 11
Big data and transformative bioinformatics in genomic diagnostics and beyond
Saparov, A., & Zech, M. (2025) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2025.107311 · Cited by 11
Genome sequencing reveals the impact of pseudoexons in rare genetic disease
Pitsava, G., Hawley, M. H., Auriga, L., Dios, I. D., Ko, A., Marmolejos, S., Almalvez, M., Chen, I., Scozzaro, K., Zhao, J., et al. (2025) · Genetics in Medicine · doi:10.1016/j.gim.2025.101574 · Cited by 11
Mardy, A. H., Hodoğlugil, U., Yip, T., & Slavotinek, A. M. (2021) · Clinical Genetics · doi:10.1111/cge.13962 · Cited by 11
Tolomeo, D., Orsucci, D., Nesti, C., Baldacci, J., Battini, R., Bruno, C., Bruno, G., Cassandrini, D., Doccini, S., Donati, M. A., et al. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10153222 · Cited by 11
Chad, L., Anderson, J., Cagliero, D., Hayeems, R. Z., Ly, L. G., & Szuto, A. (2022) · Hospital Pediatrics · doi:10.1542/hpeds.2022-006654 · Cited by 13
Increased diagnostic yield from negative whole genome‐slice panels using automated reanalysis
Berger, S., Pitsava, G., Cohen, A. J., Délot, E. C., LoTempio, J. E., Andrew, E. H., Martin, G. M., Marmolejos, S., Albert, J., Meltzer, B., et al. (2023) · Clinical Genetics · doi:10.1111/cge.14360 · Cited by 11
Scaling genetic resources: New paradigms for diagnosis and treatment of rare genetic disease
Vockley, J., Defay, T., Goldenberg, A. J., & Gaviglio, A. (2022) · American Journal of Medical Genetics Part C Seminars in Medical Genetics · doi:10.1002/ajmg.c.32016 · Cited by 12
Self-citationIs Rapid Exome Sequencing Standard of Care in the Neonatal and Pediatric Intensive Care Units?
Kingsmore, S. F. (2020) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2020.08.006 · Cited by 11
Self-citationRapid Whole Genome Sequencing in Critically Ill Neonates Enables Precision Medicine Pipeline
Beaman, M. M., Fisher, K. A., McDonald, M., Tan, Q. K. ‐., Jackson, D., Cocanougher, B., Landstrom, A. P., Hobbs, C. A., Cotten, M., & Cohen, J. L. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12111924 · Cited by 12
Applications of genome sequencing as a single platform for clinical constitutional genetic testing
Yang, Y., del Gaudio, D., Santani, A., & Scott, S. A. (2024) · Genetics in Medicine Open · doi:10.1016/j.gimo.2024.101840 · Cited by 10
Jenkins, S. M., Palmquist, R. N., Shayota, B. J., Solorzano, C. M., Bonkowsky, J. L., Estabrooks, P. A., & Tristani‐Firouzi, M. (2025) · Pediatric Research · doi:10.1038/s41390-025-03859-8 · Cited by 12
AI applications in prevalent diseases and disorders
Catania, L. J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-824477-7.00007-9 · Cited by 11
Mozheiko, E., & Fishman, V. (2019) · Russian Journal of Genetics · doi:10.1134/s1022795419100089 · Cited by 10
Parikh, J. R., Genetti, C. A., Aykanat, A., Brownstein, C. A., Schmitz‐Abe, K., Danowski, M. E., Quitadomo, A., Madden, J. A., Yacoubian, C., Gain, R., et al. (2021) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2021.100035 · Cited by 10
Self-citationCan artificial intelligence save medical genetics?
Solomon, B. D. (2021) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.62538 · Cited by 10
Marouane, A., Neveling, K., Deden, A. C., van den Heuvel, S., Zafeiropoulou, D., Castelein, S., van de Veerdonk, F. L., Koolen, D. A., Simons, A., Rodenburg, R. J., et al. (2024) · Frontiers in Genetics · doi:10.3389/fgene.2023.1304520 · Cited by 9
CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory
Simon, W., Boybat, I., Kodra, R., Ferro, E., Singh, G., Alser, M., Jain, S., Tsai, H.-Y. S., Burr, G. W., Mutlu, O., et al. (2025) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2025.3550811 · Cited by 9
Chitty, L. S., Hui, L., Ghidini, A., Levy, B., Deprest, J. A., Mieghem, T. V., & Bianchi, D. W. (2019) · Prenatal Diagnosis · doi:10.1002/pd.5632 · Cited by 9
Kalhori, S. R. N., Tanhapour, M., & Gholamzadeh, M. (2021) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2021.103687 · Cited by 9
Kobayashi, E. S., Wong, T. C., Ellsworth, K. A., Ingulli, E. G., & Kingsmore, S. F. (2020) · Molecular Case Studies · doi:10.1101/mcs.a005470 · Cited by 9
Self-citation2022: A pivotal year for diagnosis and treatment of rare genetic diseasesPreprint
Kingsmore, S. F. (2022) · Molecular Case Studies · doi:10.1101/mcs.a006204 · Cited by 9
Self-citationComputational and Experimental Analysis of Genetic Variants
Prokop, J. W., Jdanov, V., Savage, L., Morris, M., Lamb, N. E., VanSickle, E., Stenger, C. L., Rajasekaran, S., & Bupp, C. P. (2022) · Comprehensive physiology · doi:10.1002/cphy.c210012 · Cited by 12
Rapid genome sequencing for critically ill infants: an inaugural pilot study from Turkey
Yılmaz, B. G., Doğan, Ö. A., Özdemir, Ö., Yüksel, B., Ng, Ö. H., Bilgüvar, K., Ay, B., Ozkose-Iyigel, G. S., Aydin, E., Yigit, A., et al. (2024) · Frontiers in Pediatrics · doi:10.3389/fped.2024.1412880 · Cited by 8
Diagnostic Yield After Postnatal Reanalysis of Prenatal Exome Sequencing Results
Swanson, K., Hodoğlugil, U., Sparks, T. N., Lianoglou, B. R., Slavotinek, A. M., & Norton, M. E. (2025) · Prenatal Diagnosis · doi:10.1002/pd.6886 · Cited by 8
Kim, S. J., Pistawka, C. A., Langlois, S., Osiovich, H. C., Virani, A., Kitchin, V., Study, G., & Elliott, A. M. (2023) · Clinical Genetics · doi:10.1111/cge.14446 · Cited by 9
Acute symptomatic seizures in newborns: a narrative review
Spagnoli, C., & Pisani, F. (2024) · Acta Epileptologica · doi:10.1186/s42494-024-00151-w · Cited by 8
Computational Approaches for Unraveling the Effects of Variation in the Human Genome and Microbiome
Zhu, C., Miller, M., Zeng, Z., Wang, Y., Mahlich, Y., Aptekmann, A. A., & Bromberg, Y. (2020) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-030320-041014 · Cited by 8
Викторовна, К. О., Ershova, A. I., Meshkov, A. N., & Drapkina, O. M. (2020) · CARDIOVASCULAR THERAPY AND PREVENTION · doi:10.15829/1728-8800-2020-2647 · Cited by 8
Beuschel, J. J., Geyer, H., Rich, M., Leimanis, M. L., Kampfschulte, A., VanSickle, E., Rajasekaran, S., & Bupp, C. P. (2021) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2021.08.010 · Cited by 8
Fishler, K. P., Euteneuer, J. C., & Brunelli, L. (2022) · International Journal of Neonatal Screening · doi:10.3390/ijns8010022 · Cited by 9
Huang, Z., Lu, W., Zhang, P., Lu, Y., Chen, L., Kang, W., Yang, L., Li, G., Zhu, J., Wu, B., et al. (2023) · Annals of Translational Medicine · doi:10.21037/atm-22-4396 · Cited by 8
Diagnosis of cytomegalovirus infection from clinical whole genome sequencing
Ramchandar, N., Ding, Y., Farnaes, L., Dimmock, D., Hobbs, C. A., Kingsmore, S. F., & Bainbridge, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-67656-5 · Cited by 8
Self-citationBhatia, S., Pal, S., Kulshrestha, S., Gupta, D., Soni, A., Saxena, R., Bijarnia‐Mahay, S., Verma, I. C., & Puri, R. D. (2024) · European Journal of Human Genetics · doi:10.1038/s41431-024-01569-z · Cited by 8
Taming large-scale genomic analyses via sparsified genomics
Alser, M., Eudine, J., & Mutlu, O. (2025) · Nature Communications · doi:10.1038/s41467-024-55762-1 · Cited by 7
Kandaswamy, S., Knake, L. A., Dziorny, A. C., Hernandez, S., McCoy, A. B., Hess, L. M., Orenstein, E. W., White, M. S., Kirkendall, E. S., Molloy, M. J., et al. (2025) · Applied Clinical Informatics · doi:10.1055/a-2521-1508 · Cited by 7
Tutar, Ş., Özgörü, H., & Öğür, Z. (2025) · Journal of Pediatric Nursing · doi:10.1016/j.pedn.2025.09.005 · Cited by 9
Huang, Y., Hsu, C., Chune, Y.-C., Liao, I.-C., Wang, H., Lin, Y., Hwu, W., Lee, N., & Lai, F. (2022) · JMIR Bioinformatics and Biotechnology · doi:10.2196/37701 · Cited by 7
Natural language processing in the intensive care unit: A scoping review
Pilowsky, J. K., Choi, J.-W., Saavedra, A. F., Daher, M., Nguyen, N., Williams, L., & Jones, S. L. (2024) · Critical Care and Resuscitation · doi:10.1016/j.ccrj.2024.06.008 · Cited by 8
Zhang‐Rutledge, K., Owen, M. J., Sweeney, N. M., Dimmock, D., Kingsmore, S. F., & Laurent, L. C. (2022) · Prenatal Diagnosis · doi:10.1002/pd.6111 · Cited by 7
Self-citationGross motor function prediction using natural language processing in cerebral palsy
Greve, K. R., Ni, Y., Bailes, A. F., Vargus‐Adams, J. N., Miley, A. E., Aronow, B. J., McMahon, M. M., Kurowski, B. G., & Mitelpunkt, A. (2022) · Developmental Medicine & Child Neurology · doi:10.1111/dmcn.15301 · Cited by 7
Artificial Intelligence in the Genetic Diagnosis of Rare Disease
James, K. N., Phadke, S. S., Wong, T. C., & Chowdhury, S. (2023) · Clinics in Laboratory Medicine · doi:10.1016/j.cll.2022.09.023 · Cited by 9
Self-citationQian, Y., Ni, Z., Gui, W., & Liu, Y. (2021) · International Journal of Computational Intelligence Systems · doi:10.2991/ijcis.d.210203.006 · Cited by 7
Savage, L., Adams, S. D., James, K. N., Chowdhury, S., Rajasekaran, S., Prokop, J. W., & Bupp, C. P. (2020) · Molecular Case Studies · doi:10.1101/mcs.a005496 · Cited by 7
Self-citationImplementation of First-Line Rapid Genome Sequencing in Non–Critical Care Pediatric Wards
Keefe, A., Scott, A. A., Kruidenier, L., Conta, J. H., Sternen, D. L., Candadai, S. V. C., Stasi, S. M., Parish‐Morris, J., Sikes, M. C., Adam, M. P., et al. (2025) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2025.114699 · Cited by 6
McBride, D. J., Fielding, C., Newington, T., Vatsiou, A. I., Fischl, H., Bajracharya, M., Thomson, V. S., Fraser, L. J., Fujita, P. A., Becq, J., et al. (2023) · International Journal of Neonatal Screening · doi:10.3390/ijns9030052 · Cited by 7
Al-Sofyani, K. A. (2025) · Frontiers in Pediatrics · doi:10.3389/fped.2025.1533877 · Cited by 10
The Role of Artificial Intelligence in Pediatric Intensive Care: A Systematic Review
Abdallah, A. B. A. A., Sadaka, S. I. H., Ali, E. I., Bilal, S. A. M., Abdelrahman, M. O., Mohammed, F. B. F., Ahmed, S. D. N., & Saeed, N. E. A. (2025) · Cureus · doi:10.7759/cureus.80142 · Cited by 8
GenomeDiver: a platform for phenotype-guided medical genomic diagnosis
Pearson, N. M., Stolte, C., Shi, K. Y., Beren, F., Abul‐Husn, N. S., Bertier, G., Brown, K. M., Díaz, G. A., Odgis, J. A., Suckiel, S. A., et al. (2021) · Genetics in Medicine · doi:10.1038/s41436-021-01219-5 · Cited by 7
Rapid Exome and Genome Sequencing in the Intensive Care Unit
Muriello, M. J., & Basel, D. (2022) · Critical Care Clinics · doi:10.1016/j.ccc.2021.11.001 · Cited by 7
The arrival of personalized genomics in bone marrow failure
Włodarski, M. W. (2021) · Haematologica · doi:10.3324/haematol.2020.265124 · Cited by 7
Moore, C., Arenchild, M., Waldman, B. M., Rego, S. P., Kingsmore, S. F., Field, J., Barnhart, J., Nee, S., & Nofsinger, R. R. (2025) · The Journal of Applied Laboratory Medicine · doi:10.1093/jalm/jfaf045 · Cited by 5
Self-citationOyovwi, M. O., Ejiro, O. P., Rotu, R. A., & Olowe, G. T. (2024) · JMIR Bioinformatics and Biotechnology · doi:10.2196/58439 · Cited by 5
Marasà, M., Ahram, D. F., Rehman, A. U., Mitrotti, A., Abhyankar, A., Jain, N. G., Weng, P. L., Piva, S. E., Fernández, H., Uy, N., et al. (2023) · Kidney International Reports · doi:10.1016/j.ekir.2023.05.021 · Cited by 5
Reiley, J., Botas, P., Miller, C. E., Zhao, J., Jenkins, S. M., Best, H. D., Grubb, P. H., Mao, R., Isla, J., & Brunelli, L. (2023) · Children · doi:10.3390/children10060991 · Cited by 5
RattlesnakeJake: A Fast and Accurate Pre-alignment Filter Suitable for Computation-in-Memory
Shahroodi, T., Miao, M., Zahedi, M., Wong, S., & Hamdioui, S. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-46077-7_14 · Cited by 5
Buchkremer, R., de Witte, B., & Matusiewicz, D. (2020) · FOM-Edition · doi:10.1007/978-3-658-29550-9_21 · Cited by 5
A Framework for Designing Efficient Deep Learning-Based Genomic BasecallersPreprint
Singh, G., Alser, M., Denolf, K., Fırtına, C., Khodamoradi, A., Cavlak, M. B., Corporaal, H., & Mutlu, O. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.20.517297 · Cited by 5
Long-term follow-up of children who received rapid genomic sequencing
Kobayashi, E. S., Tobin, L. E., Arenchild, M., Benson, W., Coufal, N. G., Juarez, E. F., Kingsmore, S. F., Knight, J. R., Lenberg, J. L., Schwarz, A., et al. (2025) · Genetics in Medicine · doi:10.1016/j.gim.2025.101403 · Cited by 4
Self-citationNatural Language Processing in der KI
Buchkremer, R. (2020) · FOM-Edition · doi:10.1007/978-3-658-29550-9_2 · Cited by 6
SieveMem: A Computation-in-Memory Architecture for Fast and Accurate Pre-Alignment
Shahroodi, T., Miao, M., Zahedi, M., Wong, S., & Hamdioui, S. (2023) · IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP) · doi:10.1109/asap57973.2023.00035 · Cited by 4
Woodward, K., de Jesus, P., & Esser, M. J. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21239155 · Cited by 4
Edmondson, A. C., & Bennett, M. J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-817962-8.00001-9 · Cited by 4
Artificial Intelligence in Pediatrics
Kelly, C. J., Brown, A. P. Y., & Taylor, J. A. (2021) · Springer eBooks · doi:10.1007/978-3-030-58080-3_316-1 · Cited by 4
Scalable Newborn Screening Solutions: Bioinformatics and Next-Generation Sequencing
Ruiz-Schultz, N., Asay, B., & Rohrwasser, A. (2021) · International Journal of Neonatal Screening · doi:10.3390/ijns7040063 · Cited by 4
Dilated coronary arteries in a 2-month-old with RIT1-associated Noonan syndrome: a case report
Aniol, C. V., Prokop, J. W., Rajasekaran, S., Pageau, S. C., Elizer, S. K., VanSickle, E., & Bupp, C. P. (2023) · BMC Pediatrics · doi:10.1186/s12887-022-03818-w · Cited by 4
AI in Genomics and Epigenomics
Fishman, V., Sindeeva, M., Chekanov, N., Shashkova, T., Ivanisenko, N. V., & Kardymon, O. L. (2023) · Healthy ageing and longevity · doi:10.1007/978-3-031-35176-1_11 · Cited by 4
The past and future of genetics in pulmonary disease: You can teach an old dog new tricks
Nogee, L. M., & Hamvas, A. (2020) · Pediatric Pulmonology · doi:10.1002/ppul.24669 · Cited by 4
Owen, M. J., Lenberg, J. L., Feigenbaum, A., Gold, J. J., Chau, K. K., Bezares-Orin, Z., Ding, Y., Chowdhury, S., & Kingsmore, S. F. (2021) · Molecular Case Studies · doi:10.1101/mcs.a006091 · Cited by 4
Self-citationDiagnostic genomic sequencing in critically ill children
Auber, B., Schmidt, G., Du, C., & Hardenberg, S. V. (2023) · Medizinische Genetik · doi:10.1515/medgen-2023-2015 · Cited by 4
Harris, S. C., & Vora, N. L. (2025) · Prenatal Diagnosis · doi:10.1002/pd.6849 · Cited by 3
Ghiasi, N. M., Güloglu, T., Mustafa, H., Fırtına, C., Koliogeorgi, K., Kanellopoulos, K., Mao, H., Nadig, R., Sadrosadati, M., Park, J., et al. (2026) · IEEE International Symposium on High-Performance Computer Architecture (HPCA) · doi:10.1109/hpca68181.2026.11408512 · Cited by 5
Owen, M. J., Batalov, S., Ellsworth, K. A., Wright, M. S., Breeding, S., Hugh, K., Kingsmore, S. F., & Ding, Y. (2023) · Methods in molecular biology · doi:10.1007/978-1-0716-2950-5_12 · Cited by 3
Self-citationemGene: An Embodied LLM NGS Sequencer for Real-Time Precision Diagnostics
Luo, S., Yu, A., Xie, Z., Huang, H. B., Huang, M., Li, K., Pun, Y. K., Guo, Z., Li, S., Zhu, Y., et al. (2025) · Integrated Circuits and Systems · doi:10.23919/ics.2025.3552542 · Cited by 3
Whole-exome and whole-genome sequencing in the molecular diagnostic laboratory
Khan, W. A. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-822824-1.00012-2 · Cited by 3
Current AI applications in medical therapies and services
Catania, L. J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-824477-7.00013-4 · Cited by 3
Ouyang, X., Chi, D., Zhang, Y., Tian, Y., Zhang, Q., Xu, L., Zhang, V. W., & Wang, B. (2025) · Frontiers in Genetics · doi:10.3389/fgene.2025.1526077 · Cited by 2
GenPairX: A Hardware-Algorithm Co-Designed Accelerator for Paired-End Read Mapping
Eudine, J., Li, C., Cheng, Z., Andri, R., Fırtına, C., Sadrosadati, M., Ghiasi, N. M., Koliogeorgi, K., Nag, A., Tavakkol, A., et al. (2026) · IEEE International Symposium on High-Performance Computer Architecture (HPCA) · doi:10.1109/hpca68181.2026.11408446 · Cited by 2
RankVar: machine learning-based variant ranking and reinterpretation for rare genetic diseases
Zhang, Y., Ahsan, M. U., Wang, P., Lin, X., Campbell, I. M., Liu, C., Chung, W. K., Weng, C., & Wang, K. (2026) · Genome Medicine · doi:10.1186/s13073-026-01701-2 · Cited by 1
Bouzinier, M., Etin, D., Trifonov, S. I., Evdokimova, V. N., Ulitin, V., Shen, J., Kokorev, A. M., Ghazani, A. A., Chekaluk, Y. I., Albertyn, Z., et al. (2022) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2022.104174 · Cited by 2
Metadata
- Authors
- Clark, M. M., Hildreth, A., Batalov, S., Ding, Y., Chowdhury, S., Watkins, K., Ellsworth, K., Camp, B., Kint, C. I., Yacoubian, C., Farnaes, L., Bainbridge, M. N., Beebe, C., Braun, J. J. A., Bray, M., Carroll, J., Cakici, J. A., Caylor, S. A., Clarke, C., Creed, M. P., Friedman, J., Frith, A., Gain, R., Gaughran, M., George, S., Gilmer, S., Gleeson, J., Gore, J., Grunenwald, H., Hovey, R. L., Janes, M. L., Lin, K., McDonagh, P. D., McBride, K., Mulrooney, P., Nahas, S., Oh, D., Oriol, A., Puckett, L., Rady, Z., Reese, M. G., Ryu, J., Salz, L., Sanford, E., Stewart, L., Sweeney, N., Tokita, M., Van Der Kraan, L., White, S., Wigby, K., Williams, B., Wong, T., Wright, M. S., Yamada, C., Schols, P., Reynders, J., Hall, K., Dimmock, D., Veeraraghavan, N., Defay, T., & Kingsmore, S. F.
- Affiliations
- Rady Children's Institute for Genomic Medicine (US)
- University of Washington (US)
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123, USA.
- Diploid, 3001 Leuven, Belgium.
- Clinithink Ltd., London N1 6DR, UK.
- University of California San Diego (US)
- GenomeDesigns Lab (United States) (US)
- Rady Children's Hospital-San Diego (US)
- Alexion Pharmaceuticals (United States) (US)
- University of Kansas (US)
- Tessella, Needham, MA 02494, USA.
- Illumina (United States) (US)
- Ontario Genomics (CA)
- Corresponding author
- Kingsmore, Stephen F.
- ORCID
- Clark, Michelle M.
- Hildreth, Amber
- Batalov, Sergey
- Ding, Yan
- Chowdhury, Shimul
- Watkins, Kelly
- Ellsworth, Katarzyna
- Kint, Cyrielle I.
- Yacoubian, Calum
- Farnaes, Lauge
- Bainbridge, Matthew N.
- Braun, Joshua J. A.
- Bray, Margaret
- Carroll, Jeanne
- Cakici, Julie A.
- Clarke, Christina
- Creed, Mitchell P.
- Friedman, Jennifer
- George, Shauna
- Gilmer, Sheldon
- Gleeson, Joseph
- Gore, Jeremy
- Grunenwald, Haiying
- Hovey, Raymond L.
- Janes, Marie L.
- Lin, Kejia
- Mulrooney, Patrick
- Nahas, Shareef
- Oh, Daeheon
- Oriol, Albert
- Reese, Martin G.
- Ryu, Julie
- Salz, Lisa
- Stewart, Lawrence
- Sweeney, Nathaly
- Van Der Kraan, Luca
- Wigby, Kristen
- Williams, Brett
- Reynders, John
- Hall, Kevin
- Dimmock, David
- Veeraraghavan, Narayanan
- Defay, Thomas
- Kingsmore, Stephen F.
- Venue
- Science Translational Medicine
- Published
- 2019-04-24
- Volume
- 11
- Issue
- 489
- ISSN
- 1946-6234 (ISSN-L)
- 1946-6242
- PMC
- PMC9512059
- OpenAlex
- W2942272601
- Cited by
- 300
- References
- 68
- Citations by year
- 2026: 27 · 2025: 39 · 2024: 25 · 2023: 40 · 2022: 57 · 2021: 44 · 2020: 51 · 2019: 17
- FWCI
- 25.38
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science Translational Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (u19hd077693, UL1TR002550, U01TR002271)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Metabolism and Genetic Disorders
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- genetic disease diagnosis, whole genome sequencing, automated phenotyping, natural language processing, electronic health records, neonatal intensive care, pediatric intensive care, critically ill infants, rapid sequencing, precision medicine
- MeSH terms
- Female, Humans, Intensive Care Units, Natural Language Processing, Retrospective Studies, Diabetic Ketoacidosis, Genomics, Electronic Health Records
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review