Systems cancer medicine: towards realization of predictive, preventive, personalized and participatory (P4) medicine

Hallmarks of Cancer: The Next Generation

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Prospective identification of tumorigenic breast cancer cells

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Gefitinib or Carboplatin–Paclitaxel in Pulmonary Adenocarcinoma

Mok, T. S., Wu, Y.-L., Thongprasert, S., Yang, C.-H., Chu, D.-T., Saijo, N., Sunpaweravong, P., Han, B., Margono, B., Ichinose, Y., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0810699 · Cited by 8,261 · see citing works

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

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A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.

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An Integrated Genomic Analysis of Human Glioblastoma Multiforme

Parsons, D. W., Jones, S., Zhang, X., Lin, J. C.-H., Leary, R. J., Angenendt, P., Mankoo, P., Carter, H., Siu, I.-M., Gallia, G. L., et al. (2008) · Science · doi:10.1126/science.1164382 · Cited by 5,857 · see citing works

Identification of a cancer stem cell in human brain tumors.

Singh, S. K., Clarke, I. D., Terasaki, M., Bonn, V. E., Hawkins, C. E., Squire, J. A., & Dirks, P. B. (2003) · PubMed · Cited by 4,861 · see citing works

A cell initiating human acute myeloid leukaemia after transplantation into SCID mice

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Anaplastic Lymphoma Kinase Inhibition in Non–Small-Cell Lung Cancer

Kwak, E. L., Bang, Y., Camidge, D. R., Shaw, A. T., Solomon, B., Maki, R. G., Ou, S. I., Dezube, B. J., Janne, P. A., Costa, D. B., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1006448 · Cited by 4,442 · see citing works

<i>K-ras</i> Mutations and Benefit from Cetuximab in Advanced Colorectal Cancer

Karapetis, C. S., Khambata-Ford, S., Jonker, D. J., O'Callaghan, C. J., Tu, D., Tebbutt, N. C., Simes, R. J., Chalchal, H., Shapiro, J. D., Robitaille, S., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0804385 · Cited by 3,622 · see citing works

Inhibition of Mutated, Activated BRAF in Metastatic Melanoma

Flaherty, K. T., Puzanov, I. J., Kim, K. B., Ribas, A., McArthur, G. A., Sosman, J. A., O'Dwyer, P. J., Lee, R. J., Grippo, J. F., Nolop, K. B., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1002011 · Cited by 3,542 · see citing works

A transcriptome database for astrocytes, neurons, and oligodendrocytes: a new resource for understanding brain development and function

Cahoy, J. D., Emery, B., Kaushal, A., Foo, L. C., Zamanian, J. L., Christopherson, K. S., Xing, Y., Lubischer, J. L., Krieg, P. A., Krupenko, S. A., et al. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4178-07.2008 · Cited by 3,129 · see citing works

Tumour evolution inferred by single-cell sequencing

Navin, N., Kendall, J., Troge, J., Andrews, P., Rodgers, L., McIndoo, J., Cook, K., Stepansky, A., Levy, D., Esposito, D., et al. (2011) · Nature · doi:10.1038/nature09807 · Cited by 2,598 · see citing works

Recurring mutations found by sequencing an acute myeloid leukemia genome

Mardis, E. R., Ding, L., Dooling, D. J., Larson, D. E., McLellan, M. D., Chen, K., Koboldt, D. C., Fulton, R. S., Delehaunty, K. D., McGrath, S. D., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0903840 · Cited by 2,219 · see citing works

<i>DNMT3A</i> Mutations in Acute Myeloid Leukemia

Ley, T. J., Ding, L., Walter, M. J., McLellan, M. D., Lamprecht, T., Larson, D. E., Kandoth, C., Payton, J. E., Baty, J., Welch, J., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1005143 · Cited by 1,983 · see citing works

A comprehensive catalogue of somatic mutations from a human cancer genome

Pleasance, E. D., Cheetham, R. K., Stephens, P. J., McBride, D. J., Humphray, S. J., Greenman, C. D., Varela, I., Lin, M.-L., Ordóñez, G. R., Bignell, G. R., et al. (2010) · Nature · doi:10.1038/nature08658 · Cited by 1,696 · see citing works

Initial genome sequencing and analysis of multiple myeloma

Chapman, M. A., Lawrence, M. S., Keats, J. J., Cibulskis, K., Sougnez, C. L., Schinzel, A. C., Harview, C. L., Brunet, J.-P., Ahmann, G. J., Adli, M., et al. (2011) · Nature · doi:10.1038/nature09837 · Cited by 1,422 · see citing works

DNA sequencing of a cytogenetically normal acute myeloid leukaemia genome

Ley, T. J., Mardis, E. R., Ding, L., Fulton, B., McLellan, M. D., Chen, K., Dooling, D. J., Dunford-Shore, B. H., McGrath, S. D., Hickenbotham, M. T., et al. (2008) · Nature · doi:10.1038/nature07485 · Cited by 1,415 · see citing works

Effective use of PI3K and MEK inhibitors to treat mutant Kras G12D and PIK3CA H1047R murine lung cancers

Engelman, J. A., Chen, L., Tan, X., Crosby, K., Guimaraes, A. R., Upadhyay, R., Maira, M., McNamara, K., Perera, S. A., Song, Y., et al. (2008) · Nature Medicine · doi:10.1038/nm.1890 · Cited by 1,330 · see citing works

The genomic complexity of primary human prostate cancer

Berger, M. F., Lawrence, M. S., Demichelis, F., Drier, Y., Cibulskis, K., Sivachenko, A., Sboner, A., Esgueva, R., Pflueger, D., Sougnez, C. L., et al. (2011) · Nature · doi:10.1038/nature09744 · Cited by 1,213 · see citing works

Safety and Efficacy of INCB018424, a JAK1 and JAK2 Inhibitor, in Myelofibrosis

Verstovšek, S., Kantarjian, H. M., Mesa, R. A., Pardanani, A. D., Cortes, J. E., Thomas, D. A., Estrov, Z. E., Fridman, J. S., Bradley, E. C., Erickson‐Viitanen, S., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1002028 · Cited by 1,165 · see citing works

Circulating microRNAs, potential biomarkers for drug-induced liver injury

Wang, K., Zhang, S., Marzolf, B., Troisch, P., Brightman, A., Hu, Z., Hood, L. E., & Galas, D. J. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0813371106 · Cited by 1,149 · see citing works

Systems Biology and New Technologies Enable Predictive and Preventative Medicine

Hood, L., Heath, J. R., Phelps, M. E., & Lin, B. (2004) · Science · doi:10.1126/science.1104635 · Cited by 1,108 · see citing works

Analysis of Genetic Inheritance in a Family Quartet by Whole-Genome Sequencing

Roach, J. C., Glusman, G., Smit, A. F. A., Huff, C. D., Hubley, R., Shannon, P. T., Rowen, L., Pant, K. P., Goodman, N., Bamshad, M., et al. (2010) · Science · doi:10.1126/science.1186802 · Cited by 1,084 · see citing works

BRAF Mutations in Hairy-Cell Leukemia

Tiacci, E., Trifonov, V. A., Schiavoni, G., Holmes, A. B., Kern, W., Martelli, M. P., Pucciarini, A., Bigerna, B., Pacini, R., Wells, V. A., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1014209 · Cited by 1,029 · see citing works

Predictive, personalized, preventive, participatory (P4) cancer medicine

Hood, L., & Friend, S. H. (2011) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2010.227 · Cited by 925 · see citing works

Identification of somatically acquired rearrangements in cancer using genome-wide massively parallel paired-end sequencing

Campbell, P. J., Stephens, P. J., Pleasance, E., O’Meara, S., Li, H., Santarius, T., Stebbings, L. A., Leroy, C., Edkins, S., Hardy, C. W., et al. (2008) · Nature Genetics · doi:10.1038/ng.128 · Cited by 812 · see citing works

Full dynamic range proteome analysis of S. cerevisiae by targeted proteomics

Picotti, P., Bodenmiller, B., Mueller, L. N., Domon, B., & Aebersold, R. (2009) · Cell · doi:10.1016/j.cell.2009.05.051 · Cited by 744 · see citing works

Development of Personalized Tumor Biomarkers Using Massively Parallel Sequencing

Leary, R. J., Kinde, I., Diehl, F., Schmidt, K., Clouser, C., Duncan, C., Antipova, A. A., Lee, C. C., McKernan, K. J., Vega, F. M. D. L., et al. (2010) · Science Translational Medicine · doi:10.1126/scitranslmed.3000702 · Cited by 517 · see citing works

The mutation spectrum revealed by paired genome sequences from a lung cancer patient

Lee, W., Jiang, Z., Liu, J., Haverty, P. M., Guan, Y., Stinson, J., Yue, P., Zhang, Y., Pant, K. P., Bhatt, D., et al. (2010) · Nature · doi:10.1038/nature09004 · Cited by 486 · see citing works

Human cancers express mutator phenotypes: origin, consequences and targeting

Loeb, L. A. (2011) · Nature reviews. Cancer · doi:10.1038/nrc3063 · Cited by 394 · see citing works

Human cancers express a mutator phenotype

Bielas, J. H., Loeb, K. R., Rubin, B. P., True, L. D., & Loeb, L. A. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0607057103 · Cited by 354 · see citing works

Chimeric transcript discovery by paired-end transcriptome sequencing

Maher, C. A., Palanisamy, N., Brenner, J. C., Cao, X., Kalyana-Sundaram, S., Luo, S., Khrebtukova, I., Barrette, T. R., Grasso, C., Yu, J., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904720106 · Cited by 339 · see citing works

Cooperativity within and among Pten, p53, and Rb Pathways Induces High-Grade Astrocytoma in Adult Brain

Chow, L. M. L., Endersby, R., Zhu, X., Rankin, S. L., Qu, C., Zhang, J., Broniscer, A., Ellison, D. W., & Baker, S. J. (2011) · Cancer Cell · doi:10.1016/j.ccr.2011.01.039 · Cited by 291 · see citing works

A systems approach to prion disease

Hwang, D., Lee, I. Y., Yoo, H., Gehlenborg, N., Cho, J., Petritis, B., Baxter, D., Pitstick, R., Young, R., Spicer, D., et al. (2009) · Molecular Systems Biology · doi:10.1038/msb.2009.10 · Cited by 287 · see citing works

Clinical Significance of Circulating Tumor Cells, Including Cancer Stem-Like Cells, in Peripheral Blood for Recurrence and Prognosis in Patients With Dukes' Stage B and C Colorectal Cancer

Iinuma, H., Watanabe, T., Mimori, K., Adachi, M., Hayashi, N., Tamura, J., Matsuda, K., Fukushima, R., Okinaga, K., Sasako, M., et al. (2011) · Journal of Clinical Oncology · doi:10.1200/jco.2010.30.5151 · Cited by 280 · see citing works

Mutational Heterogeneity in Human Cancers: Origin and Consequences

Salk, J. J., Fox, E., & Loeb, L. A. (2009) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathol-121808-102113 · Cited by 249 · see citing works

Properties of developmental gene regulatory networks

Davidson, E. H., & Levine, M. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0806007105 · Cited by 247 · see citing works

Boosting Signal-to-Noise in Complex Biology: Prior Knowledge Is Power

Ideker, T., Dutkowski, J., & Hood, L. (2011) · Cell · doi:10.1016/j.cell.2011.03.007 · Cited by 204 · see citing works

BCR-ABL Tyrosine Kinase Inhibitors for Chronic Myelogenous Leukemia

Schiffer, C. A. (2007) · New England Journal of Medicine · doi:10.1056/nejmct071828 · Cited by 197 · see citing works

Cancer genetics-guided discovery of serum biomarker signatures for diagnosis and prognosis of prostate cancer

Cima, I., Schiess, R., Wild, P. J., Kaelin, M., Schüffler, P. J., Lange, V., Picotti, P., Ossola, R., Templeton, A. J., Schubert, O. T., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1013699108 · Cited by 190 · see citing works

Highly accurate two-gene classifier for differentiating gastrointestinal stromal tumors and leiomyosarcomas

Price, N. D., Trent, J. C., El‐Naggar, A. K., Cogdell, D. E., Taylor, E., Hunt, K. K., Pollock, R. E., Hood, L., Ilya Shmulevich, C., & Zhang, W. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0611373104 · Cited by 174 · see citing works

Comprehensive microRNA expression profiling of the hematopoietic hierarchy

Petriv, O. I., Kuchenbauer, F. C., Delaney, A. D., Lecault, V., White, A. K., Kent, D. G., Marmolejo, L. G., Heuser, M., Berg, T., Copley, M. R., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1009320107 · Cited by 165 · see citing works

A CD133-related gene expression signature identifies an aggressive glioblastoma subtype with excessive mutations

Yan, X. S., Ma, L., Yi, D., Yoon, J.-G., Diercks, A. H., Foltz, G., Price, N. D., Hood, L., & Tian, Q. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1018696108 · Cited by 125 · see citing works

Evidence for the Presence of Disease-Perturbed Networks in Prostate Cancer Cells by Genomic and Proteomic Analyses: A Systems Approach to Disease

Lin, B., White, J. T., Lu, W., Xie, T., Utleg, A. G., Yan, X. S., Yi, E. C., Shannon, P. T., Khrebtukova, I., Lange, P. H., et al. (2005) · Cancer Research · doi:10.1158/0008-5472.can-04-3218 · Cited by 102 · see citing works

Elevated circulating endothelial progenitor marker CD133 messenger RNA levels predict colon cancer recurrence

Lin, E. H., Hassan, M. M., Li, Y., Zhao, H., Nooka, A. K., Sorenson, E., Xie, K., Champlin, R., Wu, X., & Li, D. (2007) · Cancer · doi:10.1002/cncr.22774 · Cited by 86 · see citing works

Systems Biology and Systems Medicine

Price, N. D., Edelman, L. B., Lee, I., Yoo, H., Hwang, D., Carlson, G. A., Galas, D. J., Heath, J. R., & Hood, L. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-382227-7.00005-7 · Cited by 12 · see citing works

Biological Complexity Under Attack

Hood, L. (2011) · Genetic Engineering & Biotechnology News · doi:10.1089/gen.31.17.16 · Cited by 10 · see citing works

Cell Stiffness Is a Biomarker of the Metastatic Potential of Ovarian Cancer Cells

Xu, W., Mezencev, R., Kim, B. K., Wang, L., McDonald, J. F., & Sulchek, T. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046609 · Cited by 757 · see citing works

A personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory

Hood, L., & Flores, M. (2012) · New Biotechnology · doi:10.1016/j.nbt.2012.03.004 · Cited by 648 · see citing works

What do we need to build explainable AI systems for the medical domain?

Holzinger, A., Biemann, C., Pattichis, C. S., & Kell, D. B. (2017) · arXiv · doi:10.48550/arxiv.1712.09923 · Cited by 636 · see citing works

Targeting the PI3K/AKT/mTOR and Raf/MEK/ERK pathways in the treatment of breast cancer

Saini, K. S., Loi, S., de Azambuja, E., Metzger, O., Saini, M. L., Ignatiadis, M., Dancey, J. E., & Piccart, M. J. (2013) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2013.03.009 · Cited by 376 · see citing works

Principles and methods of integrative genomic analyses in cancer

Kristensen, V. N., Lingjærde, O. C., Russnes, H. G., Vollan, H. K. M., Frigessi, A., & Børresen‐Dale, A. (2014) · Nature reviews. Cancer · doi:10.1038/nrc3721 · Cited by 368 · see citing works

Targeting the folate receptor: diagnostic and therapeutic approaches to personalize cancer treatments

Ledermann, J. A., Canevari, S., & Thigpen, T. (2015) · Annals of Oncology · doi:10.1093/annonc/mdv250 · Cited by 346 · see citing works

Systems Chronotherapeutics

Ballesta, A., Innominato, P. F., Dallmann, R., Rand, D. A. J., & Lévi, F. (2017) · Pharmacological Reviews · doi:10.1124/pr.116.013441 · Cited by 342 · see citing works

A Review of Challenges and Opportunities in Machine Learning for Health

Ghassemi, M., Naumann, T., Schulam, P., Beam, A. L., Chen, I. Y., & Ranganath, R. (2018) · PubMed Central · doi:10.48550/arxiv.1806.00388 · Cited by 347 · see citing works

New obesity classification criteria as a tool for bariatric surgery indication

LORENZO, A. D. (2016) · World Journal of Gastroenterology · doi:10.3748/wjg.v22.i2.681 · Cited by 312 · see citing works

Time series forecasting for nonlinear and non-stationary processes: a review and comparative study

Cheng, C., Sa-ngasoongsong, A., Beyca, Ö. F., Le, T., Yang, H. Y., Kong, Z., & Bukkapatnam, S. (2015) · IIE Transactions · doi:10.1080/0740817x.2014.999180 · Cited by 287 · see citing works

Systems Biology and P4 Medicine: Past, Present, and Future

Hood, L. (2013) · Rambam Maimonides Medical Journal · doi:10.5041/rmmj.10112 · Cited by 267 · see citing works

The crucial role of multiomic approach in cancer research and clinically relevant outcomes

Lu, M., & Zhan, X. (2018) · The EPMA Journal · doi:10.1007/s13167-018-0128-8 · Cited by 229 · see citing works

The Proteomic Landscape of Triple-Negative Breast Cancer

Lawrence, R., Perez, E. M., Hernández, D., Miller, C. P., Haas, K. M., Irie, H. Y., Lee, S., Blau, C. A., & Villén, J. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.03.050 · Cited by 219 · see citing works

The new holism: P4 systems medicine and the medicalization of health and life itself

Vogt, H., Hofmann, B., & Getz, L. (2016) · Medicine Health Care and Philosophy · doi:10.1007/s11019-016-9683-8 · Cited by 197 · see citing works

Personalized oncology: Recent advances and future challenges

Kalia, M. (2012) · Metabolism · doi:10.1016/j.metabol.2012.08.016 · Cited by 186 · see citing works

Cytomegalovirus: Shape-Shifting the Immune System

Picarda, G. G. A., & Benedict, C. A. (2018) · The Journal of Immunology · doi:10.4049/jimmunol.1800171 · Cited by 152 · see citing works

Update on Biomarkers of Hepatocellular Carcinoma

Chaiteerakij, R., Addissie, B. D., & Roberts, L. R. (2013) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2013.10.038 · Cited by 137 · see citing works

Systems Bioinformatics: increasing precision of computational diagnostics and therapeutics through network-based approaches

Oulas, A., Minadakis, G., Zachariou, M., Sokratous, K., Bourdakou, M. M., & Spyrou, G. M. (2017) · Briefings in Bioinformatics · doi:10.1093/bib/bbx151 · Cited by 135 · see citing works

HiGHmed – An Open Platform Approach to Enhance Care and Research across Institutional Boundaries

Haarbrandt, B., Schreiweis, B., Rey, S., Sax, U., Scheithauer, S., Rienhoff, O., Knaup, P., Bavendiek, U., Dieterich, C., Brors, B., et al. (2018) · Methods of Information in Medicine · doi:10.3414/me18-02-0002 · Cited by 134 · see citing works

Genome‐scale modeling of human metabolism – a systems biology approach

Mardinoğlu, A., Gatto, F., & Nielsen, J. (2013) · Biotechnology Journal · doi:10.1002/biot.201200275 · Cited by 112 · see citing works

Cancer bioinformatics: A new approach to systems clinical medicine

Wu, D., Rice, C. M., & Wang, X. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-71 · Cited by 106 · see citing works

Genomic insights into ayurvedic and western approaches to personalized medicine

Prasher, B., Gibson, G. C., & Mukerji, M. (2016) · Journal of Genetics · doi:10.1007/s12041-015-0607-9 · Cited by 94 · see citing works

Key Enabling Technologies for Point-of-Care Diagnostics

Primiceri, E., Chiriacò, M. S., Notarangelo, F. M., Crocamo, A., Ardissino, D., Cereda, M., Bramanti, A. P., Bianchessi, M. A., Giannelli, G., & Maruccio, G. (2018) · Sensors · doi:10.3390/s18113607 · Cited by 85 · see citing works

Personalized medicine: A paradigm shift in healthcare

Liao, W., & Tsai, F. (2013) · Biomedicine · doi:10.1016/j.biomed.2012.12.005 · Cited by 84 · see citing works

The principles of whole-cell modeling

Karr, J. R., Takahashi, K., & Funahashi, A. (2015) · Current Opinion in Microbiology · doi:10.1016/j.mib.2015.06.004 · Cited by 82 · see citing works

Cancer Theranostics

Chen, X. S., & Wong, S. T. C. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-407722-5.00001-3 · Cited by 74 · see citing works

What Is the Role of AI for Digital Twins?

Emmert‐Streib, F. (2023) · AI · doi:10.3390/ai4030038 · Cited by 75 · see citing works

Precision targeted therapy of ovarian cancer

Sapiezynski, J., Taratula, O., Rodríguez-Rodríguez, L., & Minko, T. (2016) · Journal of Controlled Release · doi:10.1016/j.jconrel.2016.10.014 · Cited by 71 · see citing works

Recapitulation of Ayurveda constitution types by machine learning of phenotypic traits

Tiwari, P. K., Kutum, R., Sethi, T., Shrivastava, A., Girase, B., Aggarwal, S., Patil, R., Agarwal, D. M., Gautam, P., Agrawal, A., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0185380 · Cited by 70 · see citing works

A systems approach to clinical oncology uses deep phenotyping to deliver personalized care

Yurkovich, J. T., Tian, Q., Price, N. D., & Hood, L. (2019) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-019-0273-6 · Cited by 67 · see citing works

Pharmacogenomics at the Center of Precision Medicine: Challenges and Perspective in an Era of Big Data

Primorac, D., Bach‐Rojecky, L., Vađunec, D., Juginović, A., Žunić, K., Matišić, V., Skelin, A., Arsov, B., Boban, L., Erceg, D., et al. (2020) · Pharmacogenomics · doi:10.2217/pgs-2019-0134 · Cited by 68 · see citing works

Clinical research framework proposal for ketogenic metabolic therapy in glioblastoma

Duraj, T., Kalamian, M., Zuccoli, G., Maroon, J. C., D’Agostino, D. P., Scheck, A. C., Poff, A. M., Winter, S. F., Hu, J. L., Klement, R. J., et al. (2024) · BMC Medicine · doi:10.1186/s12916-024-03775-4 · Cited by 64 · see citing works

Unbiased Approaches to Biomarker Discovery in Neurodegenerative Diseases

Chen‐Plotkin, A. S. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.031 · Cited by 60 · see citing works

The Cancer Empowerment Questionnaire: Psychological Empowerment in Breast Cancer Survivors

van den Berg, S. W., van Amstel, F. K. P., Ottevanger, P. B., Gielissen, M. F. M., & Prins, J. B. (2013) · Journal of Psychosocial Oncology · doi:10.1080/07347332.2013.825361 · Cited by 60 · see citing works

Wireless Wearable Multisensory Suite and Real-Time Prediction of Obstructive Sleep Apnea Episodes

Le, T., Cheng, C., Sa-ngasoongsong, A., Wongdhamma, W., & Bukkapatnam, S. (2013) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2013.2273354 · Cited by 58 · see citing works

Synthetic biology-based cellular biomedical tattoo for detection of hypercalcemia associated with cancer

Tastanova, A., Folcher, M., Müller, M., Camenisch, G., Ponti, A., Horn, T. L., Tikhomirova, M. S., & Fussenegger, M. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aap8562 · Cited by 57 · see citing works

Current State of “Omics” Biomarkers in Pancreatic Cancer

Turanlı, B., Yildirim, E., Gülfidan, G., Arğa, K. Y., & Sinha, R. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11020127 · Cited by 52 · see citing works

Understanding the cancer cell phenotype beyond the limitations of current omics analyses

Moreno‐Sánchez, R., Saavedra, E., Gallardo‐Pérez, J. C., Rumjanek, F. D., & Rodríguez‐Enríquez, S. (2015) · FEBS Journal · doi:10.1111/febs.13535 · Cited by 50 · see citing works

Animal Models in Biomedical Research

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Integration and Visualization of Translational Medicine Data for Better Understanding of Human Diseases

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Personalized Clinical Phenotyping through Systems Medicine and Artificial Intelligence

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Cystic fibrosis in the era of precision medicine

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Predictive Modeling: A New Paradigm for Managing Endometrial Cancer

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Evaluation and Management of Sleep and Circadian Rhythm Disturbance in Cancer

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A Systems Engineering Perspective on Homeostasis and Disease

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Importance of Big Data in Precision and Personalized Medicine

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Personalized Nutrition in Disrupting Cancer — Proceedings From the 2017 American College of Nutrition Annual Meeting

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A novel metric for quantification of homogeneous and heterogeneous tumors in PET for enhanced clinical outcome prediction

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Role of Tunable Gold Nanostructures in Cancer Nanotheranostics: Implications on Synthesis, Toxicity, Clinical Applications and Their Associated Opportunities and Challenges

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Personalized medicine: evidence of normativity in its quantitative definition of health

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Individually Tailored Screening of Susceptibility to Sarcopenia Using p53 Codon 72 Polymorphism, Phenotypes, and Conventional Risk Factors

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Protein Microarrays for Studies of Drug Mechanisms and Biomarker Discovery in the Era of Systems Biology

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Classification of Ayurveda constitution types: a deep learning approach

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Jumping on the Train of Personalized Medicine: A Primer for Non- Geneticist Clinicians: Part 3. Clinical Applications in the Personalized Medicine Area

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Recent developments in proteomic methods and disease biomarkers

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The Response of Cancers to BRAF Inhibition Underscores the Importance of Cancer Systems Biology

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Understanding complexity in neurodegenerative diseases: in silico reconstruction of emergence

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Editorial (End of the Beginning and Public Health Pharmacogenomics: Knowledge in ‘Mode 2’ and P5 Medicine)

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Patient-Centered (P4) Medicine and the Older Person

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The effect of intraparenchymal blood patching on the rate of pneumothorax in patients undergoing percutaneous CT-guided core biopsy of the lung

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Multi-study Integration of Brain Cancer Transcriptomes Reveals Organ-Level Molecular Signatures

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Development and clinical applications of siRNA-encapsulated lipid nanoparticles in cancer

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Is phosphoproteomics ready for clinical research?

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Establishing a Southern Swedish Malignant Melanoma OMICS and biobank clinical capability

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Anticancer peptides as novel immunomodulatory therapeutic candidates for cancer treatment

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Gatekeeping and trailblazing: The role of biomarkers in novel guidelines for diagnosing Alzheimer’s disease

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Consideration of Statistical vs. Biological Significances for Omics Data-Based Pathway Network Analysis

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High risk endometrial cancer: Clues towards a revision of the therapeutic paradigm

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Precision/Genomic Medicine for Domestic Cats

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Models and Data Sources Used in Systems Medicine: A Systematic Literature Review

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Proteomics

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Systems Biology and P4 Medicine: Past, Present, and Future

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L8.1 Systems Medicine Approaches to Cancer and the Emergence of Proactive P4 Medicine

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