Personalized precision medicine
Open accessAbstract
Along with the development of modern science, medical knowledge and therapy become more and more precise and personal as a consequence. Genetics and immunology participate in the progress in particular. They open the way to molecular knowledge, allowing precise interpretation of pathology in individual cases followed by finding proper therapy. However, the large-scale improvement of medical efficacy seems to be achieved with the development of screening tests that, being not invasive and cheap, may allow for personal repeatable use and early revealing of threatening diseases.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Advantages of precision medicine include reduced healthcare costs, reduction in adverse drug response, and enhancing effectivity of drug action.
“Advantages of precision medicine include reduced healthcare costs, reduction in adverse drug response, and enhancing effectivity of drug action [11].”
From The rise of artificial intelligence in healthcare applications (2020) · cites this paper as [11]
Cites
Environment dominates over host genetics in shaping human gut microbiota
Rothschild, D., Weissbrod, O., Barkan, E., Kurilshikov, A., Korem, T., Zeevi, D., Costea, P. I., Godneva, A., Kalka, I. N., Bar, N., et al. (2018) · Nature · doi:10.1038/nature25973 · Cited by 2,859 · see citing works
Detection and localization of surgically resectable cancers with a multi-analyte blood test
Cohen, J. D., Li, L., Wang, Y., Thoburn, C., Afsari, B., Danilova, L., Douville, C., Javed, A. A., Wong, F., Mattox, A., et al. (2018) · Science · doi:10.1126/science.aar3247 · Cited by 2,783 · see citing works
Geroscience: Linking Aging to Chronic Disease
Kennedy, B. K., Berger, S. L., Brunet, A., Campisi, J., Cuervo, A. M., Epel, E. S., Franceschi, C., Lithgow, G. J., Morimoto, R. I., Pessin, J. E., et al. (2014) · Cell · doi:10.1016/j.cell.2014.10.039 · Cited by 2,764 · see citing works
Ageing as a Risk Factor for Disease
Niccoli, T., & Partridge, L. (2012) · Current Biology · doi:10.1016/j.cub.2012.07.024 · Cited by 1,831 · see citing works
CRISPR-Cas guides the future of genetic engineering
Knott, G. J., & Doudna, J. A. (2018) · Science · doi:10.1126/science.aat5011 · Cited by 1,410 · see citing works
From discoveries in ageing research to therapeutics for healthy ageing
Campisi, J., Kapahi, P., Lithgow, G. J., Melov, S., Newman, J. C., & Verdin, E. (2019) · Nature · doi:10.1038/s41586-019-1365-2 · Cited by 1,389 · see citing works
Personalized medicine: motivation, challenges, and progress
Goetz, L. H., & Schork, N. J. (2018) · Fertility and Sterility · doi:10.1016/j.fertnstert.2018.05.006 · Cited by 976 · see citing works
Correction of a pathogenic gene mutation in human embryos
Ma, H., Marti-Gutierrez, N., Park, S.-W., Wu, J., Lee, Y., Suzuki, K., Koski, A., Ji, D., Hayama, T., Ahmed, R., et al. (2017) · Nature · doi:10.1038/nature23305 · Cited by 969 · see citing works
Proteomics identifies new therapeutic targets of early-stage hepatocellular carcinoma
Jiang, Y., Sun, A., Zhao, Y. C., Ying, W., Sun, H., Yang, X., Xing, B., Sun, W., Ren, L., Hu, B., et al. (2019) · Nature · doi:10.1038/s41586-019-0987-8 · Cited by 952 · see citing works
The target landscape of clinical kinase drugs
Klaeger, S., Heinzlmeir, S., Wilhelm, M., Polzer, H., Vick, B., Koenig, P.-A., Reinecke, M., Ruprecht, B., Petzoldt, S., Meng, C., et al. (2017) · Science · doi:10.1126/science.aan4368 · Cited by 854 · see citing works
Small molecules from the human microbiota
Donia, M. S., & Fischbach, M. A. (2015) · Science · doi:10.1126/science.1254766 · Cited by 760 · see citing works
T-cell exhaustion, co-stimulation and clinical outcome in autoimmunity and infection
McKinney, E. F., Lee, J. C., Jayne, D. R. W., Lyons, P. A., & Smith, K. G. C. (2015) · Nature · doi:10.1038/nature14468 · Cited by 685 · see citing works
Tissue damage and senescence provide critical signals for cellular reprogramming in vivo
Mosteiro, L., Pantoja, C., Alcazar, N., Marión, R. M., Chondronasiou, D., Rovira, M., Fernandez-Marcos, P. J., Muñoz-Martin, M., Blanco-Aparicio, C., Pastor, J., et al. (2016) · Science · doi:10.1126/science.aaf4445 · Cited by 589 · see citing works
Targeted therapy in patients with PIK3CA-related overgrowth syndrome
Venot, Q., Blanc, T., Hadj-Rabia, S., Berteloot, L., Ladraa, S., Huyen, J. D. V., Blanc, E., Johnson, S. C., Hoguin, C., Boccara, O., et al. (2018) · Nature · doi:10.1038/s41586-018-0217-9 · Cited by 588 · see citing works
Laboratory mice born to wild mice have natural microbiota and model human immune responses
Rosshart, S. P., Herz, J., Vassallo, B. G., Hunter, A., Wall, M. K., Badger, J. H., McCulloch, J. A., Anastasakis, D. G., Sarshad, A. A., Leonardi, I., et al. (2019) · Science · doi:10.1126/science.aaw4361 · Cited by 572 · see citing works
Defining the human C2H2 zinc finger degrome targeted by thalidomide analogs through CRBN
Sievers, Q. L., Petzold, G., Bunker, R. D., Renneville, A., Słabicki, M., Liddicoat, B. J., Abdulrahman, W., Mikkelsen, T., Ebert, B. L., & Thomä, N. H. (2018) · Science · doi:10.1126/science.aat0572 · Cited by 537 · see citing works
c-MAF-dependent regulatory T cells mediate immunological tolerance to a gut pathobiont
Xu, M., Pokrovskii, M., Ding, Y., Yi, R., Au, C., Harrison, O. J., Galan, C., Belkaid, Y., Bonneau, R., & Littman, D. R. (2018) · Nature · doi:10.1038/nature25500 · Cited by 498 · see citing works
CRISPR screens identify genomic ribonucleotides as a source of PARP-trapping lesions
Zimmermann, M., Murina, O., Reijns, M. A. M., Agathanggelou, A., Challis, R. C., Tarnauskaitė, Ž., Muir, M., Fluteau, A., Aregger, M., McEwan, A., et al. (2018) · Nature · doi:10.1038/s41586-018-0291-z · Cited by 405 · see citing works
The gut microbiota and colon cancer
Garrett, W. S. (2019) · Science · doi:10.1126/science.aaw2367 · Cited by 356 · see citing works
Aging increases cell-to-cell transcriptional variability upon immune stimulation
Martinez-Jimenez, C. P., Eling, N., Chen, H.-C., Vallejos, C. A., Kolodziejczyk, A. A., Connor, F., Stojic, L., Rayner, T. F., Stubbington, M. J. T., Teichmann, S. A., et al. (2017) · Science · doi:10.1126/science.aah4115 · Cited by 339 · see citing works
Discovery of the Philadelphia chromosome: a personal perspective
Nowell̀, P. C. (2007) · Journal of Clinical Investigation · doi:10.1172/jci31771 · Cited by 204 · see citing works
Vascular regulation of antitumor immunity
Munn, L. L., & Jain, R. K. (2019) · Science · doi:10.1126/science.aaw7875 · Cited by 198 · see citing works
Tissue-specificity in cancer: The rule, not the exception
Haigis, K. M., Cichowski, K. M., & Elledge, S. J. (2019) · Science · doi:10.1126/science.aaw3472 · Cited by 167 · see citing works
The nutrient environment affects therapy
Muir, A., & Heiden, M. G. V. (2018) · Science · doi:10.1126/science.aar5986 · Cited by 158 · see citing works
Human tumor genomics and zebrafish modeling identify SPRED1 loss as a driver of mucosal melanoma
Ablain, J., Xu, M., Rothschild, H., Jordan, R. C., Mito, J. K., Daniels, B. H., Bell, C., Joseph, N. M., Wu, H. G., Bastian, B. C., et al. (2018) · Science · doi:10.1126/science.aau6509 · Cited by 143 · see citing works
PKG1-modified TSC2 regulates mTORC1 activity to counter adverse cardiac stress
Ranek, M. J., Kokkonen-Simon, K. M., Chen, A., Dunkerly-Eyring, B. L., Vera, M. P., Oeing, C. U., Patel, C. H., Nakamura, T., Zhu, G., Bedja, D., et al. (2019) · Nature · doi:10.1038/s41586-019-0895-y · Cited by 130 · see citing works
Cancer detection: Seeking signals in blood
Kalinich, M., & Haber, D. A. (2018) · Science · doi:10.1126/science.aas9102 · Cited by 75 · see citing works
The Promise and the Hype of ‘Personalised Medicine’
Maughan, T. (2017) · The New Bioethics · doi:10.1080/20502877.2017.1314886 · Cited by 73 · see citing works
Gut cell metabolism shapes the microbiome
Cani, P. D. (2017) · Science · doi:10.1126/science.aao2202 · Cited by 66 · see citing works
Making precision medicine personal for cystic fibrosis
Manfredi, C., Tindall, J. M., Hong, J. S., & Sorscher, E. J. (2019) · Science · doi:10.1126/science.aaw0553 · Cited by 37 · see citing works
Gut microbes metabolize Parkinson's disease drug
O’Neill, C. (2019) · Science · doi:10.1126/science.aax8937 · Cited by 35 · see citing works
How CRISPR is transforming drug discovery
Scott, A. J. (2018) · Nature · doi:10.1038/d41586-018-02477-1 · Cited by 32 · see citing works
Revealing a microbial carcinogen
Bleich, R. M., & Arthur, J. C. (2019) · Science · doi:10.1126/science.aaw5475 · Cited by 27 · see citing works
Hejtmancik, J. F. (2015) · Nature · doi:10.1038/nature14629 · Cited by 18 · see citing works
Five big mysteries about CRISPR’s origins
Ledford, H. K. (2017) · Nature · doi:10.1038/541280a · Cited by 18 · see citing works
Intracellular signaling in CRISPR-Cas defense
Amitai, G., & Sorek, R. (2017) · Science · doi:10.1126/science.aao2210 · Cited by 14 · see citing works
Costimulation, a surprising connection for immunotherapy
Clouthier, D., & Ohashi, P. S. (2017) · Science · doi:10.1126/science.aan1467 · Cited by 13 · see citing works
Single low-dose primaquine to reduce malaria transmission
Steketee, R. W., & ter Kuile, F. O. (2013) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(13)70288-3 · Cited by 11 · see citing works
Lessons for cancer drug treatment from tackling a non-cancerous overgrowth syndrome
Semple, R. K., & Vanhaesebroeck, B. (2018) · Nature · doi:10.1038/d41586-018-05365-w · Cited by 11 · see citing works
Finding a new purpose for old drugs
Snyder, E. Y. (2017) · Science · doi:10.1126/science.aao2992 · Cited by 8 · see citing works
Konieczny, L., Roterman-Konieczna, I., & Spólnik, P. (2013) · Springer eBooks · doi:10.1007/978-3-319-01336-7 · Cited by 7 · see citing works
Self-citationAnti-inflammatory prevents heart attacks
Couzin-Frankel, J. (2017) · Science · doi:10.1126/science.357.6354.855 · Cited by 6 · see citing works
Nobs, S. P., & Elinav, E. (2019) · Science · doi:10.1126/science.aay2864 · Cited by 6 · see citing works
Bryant, V. L., & Hodgkin, P. D. (2017) · Science · doi:10.1126/science.aap8728 · Cited by 5 · see citing works
Supramolecular Congo Red as Specific Ligand of Antibodies Engaged in Immune Complex
Jagusiak, A., Rybarska, J., Piekarska, B., et al. (2017) · Springer eBooks · doi:10.1007/978-3-319-65639-7_2 · Cited by 4 · see citing works
Signalling protein protects the heart muscle from pressure-related stress
Manning, B. D. (2019) · Nature · doi:10.1038/d41586-019-00245-3 · Cited by 4 · see citing works
Protein Conditioning for Binding Congo Red and Other Supramolecular Ligands
Zemanek, G., Jagusiak, A., Rybarska, J., Piwowar, P., Chłopaś, K., & Roterman, I. (2017) · Springer eBooks · doi:10.1007/978-3-319-65639-7_3 · Cited by 3 · see citing works
Self-citationUnexpected drug emerges for stroke recovery
Servick, K. (2019) · Science · doi:10.1126/science.363.6429.805 · Cited by 3 · see citing works
Couzin-Frankel, J. (2016) · Science · doi:10.1126/science.353.6303.983 · Cited by 1 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The rise of artificial intelligence in healthcare applications
Bohr, A., & Memarzadeh, K. (2020) · Artificial Intelligence in Healthcare · doi:10.1016/b978-0-12-818438-7.00002-2 · Cited by 1,636 · see citing works
- Authors
- Konieczny, L., & Roterman, I.
- Affiliations
- Jagiellonian University (PL)
- Corresponding author
- Konieczny, Leszek
- ORCID
- Roterman, Irena
- Venue
- Bio-Algorithms and Med-Systems
- Publisher
- Index Copernicus
- Published
- 2019-11-16
- Volume
- 15
- Issue
- 4
- ISSN
- 1895-9091 (ISSN-L)
- 1896-530X
- OpenAlex
- W2987050549
- Cited by
- 9
- References
- 49
- Citations by year
- 2024: 2 · 2023: 6 · 2020: 1
- FWCI
- 0.23
- Type
- journal article
- Language
- en
- Open access
- green
- ruj.uj.edu.pl
- Licence
- cc-by-nc-nd
- Locations
- Bio-Algorithms and Med-Systems (publishedVersion)
- Homo Politicus (Academy of Humanities and Economics in Lodz) (submittedVersion, cc-by-nc-nd)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Health Sciences › Medicine › Reproductive Medicine › Science, Research, and Medicine
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- precision medicine, personalized medicine, molecular pathology, disease screening, early disease detection, non-invasive diagnosis, targeted therapy
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
