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Medical cybernetics

From Wikipedia, the free encyclopedia
Branch of cybernetics applying systems theory in medicine

Medical cybernetics is a branch ofcybernetics which has been heavily affected by the development of thecomputer,[1] which applies the concepts of cybernetics tomedical research and practice. At the intersection ofsystems biology,systems medicine and clinical applications it covers an emerging working program for the application ofsystems- andcommunication theory,connectionism anddecision theory on biomedical research and health related questions.

Overview

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Medical cybernetics searches for quantitative descriptions of biological dynamics.[2] It investigates intercausal networks inhuman biology,medical decision making andinformation processing structures in theliving organism.

Approaches of medical cybernetics include:

  • Systems theory in medical sciences: The scope of systems theory in the medical sciences is searching for and modelling of physiological dynamics in the intact and diseased organism.[3][4][5] Its aim is to arrive at deeper insights into the organizational principles of life and its perturbations.[2][6][7] Based on cybernetic models, improved diagnostical strategies[8][9][10] and methods for personalised therapy of chronic diseases have been developed.[11][12][8][13][14][15] With focus on medical application this field is also referred to assystems medicine.[16]
  • Medical information andcommunication theory: Motivated by the awareness of information being an essential principle of life, the application of communication theory to biomedicine aims at a mathematical description of signalling processes and information storage in different physiological layers.[2] This attempt also includes theories on the information theory of the genetic code.[17][18][19][20][21]
  • Connectionism: Connectionistic models describe information processing in neural networks – thus forming a bridge between biological and technological research.[2]
  • Medical decision theory (MDT): The Goal of MDT is to gather evidence based foundations for decision making in the clinical setting.[2]

See also

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Related fields
Related scientists
Related scientists

References

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  1. ^Brian H. Rudall (2000). "Cybernetics and systems in the 1980s". In:Kybernetes. Vol 29. Issue 5/6 p.595-611.
  2. ^abcdeJ.W. Dietrich (2004),Medical Cybernetics – A Definition, Medizinische Kybernetik, 2004. Released under creative commons 2.0 attribution licence.
  3. ^Fricke, O; Lehmkuhl, G; Schoenau, E (April 2006). "The principle of regulation in biology--from bone to eating behavior".Experimental and Clinical Endocrinology & Diabetes.114 (4):197–203.doi:10.1055/s-2006-924068.PMID 16705553.
  4. ^Fricke, O; Lehmkuhl, G; Pfaff, DW (February 2006). "Cybernetic principles in the systematic concept of hypothalamic feeding control".European Journal of Endocrinology.154 (2):167–73.doi:10.1530/eje.1.02081.PMID 16452529.
  5. ^Midgley, JE; Hoermann, R; Larisch, R; Dietrich, JW (April 2013). "Physiological states and functional relation between thyrotropin and free thyroxine in thyroid health and disease: in vivo and in silico data suggest a hierarchical model".Journal of Clinical Pathology.66 (4):335–42.doi:10.1136/jclinpath-2012-201213.PMID 23423518.
  6. ^Tretter, F; Wolkenhauer, O; Meyer-Hermann, M; Dietrich, JW; Green, S; Marcum, J; Weckwerth, W (2021)."The Quest for System-Theoretical Medicine in the COVID-19 Era".Frontiers in Medicine.8 640974.doi:10.3389/fmed.2021.640974.PMC 8039135.PMID 33855036.
  7. ^Hoermann, R; Midgley, JEM; Larisch, R; Dietrich, JW (2017)."Recent Advances in Thyroid Hormone Regulation: Toward a New Paradigm for Optimal Diagnosis and Treatment".Frontiers in Endocrinology.8: 364.doi:10.3389/fendo.2017.00364.PMC 5763098.PMID 29375474.
  8. ^abDietrich, JW; Landgrafe-Mende, G; Wiora, E; Chatzitomaris, A; Klein, HH; Midgley, JE; Hoermann, R (2016)."Calculated Parameters of Thyroid Homeostasis: Emerging Tools for Differential Diagnosis and Clinical Research".Frontiers in Endocrinology.7: 57.doi:10.3389/fendo.2016.00057.PMC 4899439.PMID 27375554.
  9. ^Dietrich, JW; Dasgupta, R; Anoop, S; Jebasingh, F; Kurian, ME; Inbakumari, M; Boehm, BO; Thomas, N (21 October 2022)."SPINA Carb: a simple mathematical model supporting fast in-vivo estimation of insulin sensitivity and beta cell function".Scientific Reports.12 (1): 17659.Bibcode:2022NatSR..1217659D.doi:10.1038/s41598-022-22531-3.PMC 9587026.PMID 36271244.
  10. ^Dietrich, JW; Abood, A; Dasgupta, R; Anoop, S; Jebasingh, FK; Spurgeon, R; Thomas, N; Boehm, BO (September 2024)."A novel simple disposition index (SPINA-DI) from fasting insulin and glucose concentration as a robust measure of carbohydrate homeostasis".Journal of Diabetes.16 (9) e13525.doi:10.1111/1753-0407.13525.PMC 11418405.PMID 38169110.
  11. ^Goede, SL; Leow, MK; Smit, JW; Dietrich, JW (March 2014). "A novel minimal mathematical model of the hypothalamus-pituitary-thyroid axis validated for individualized clinical applications".Mathematical Biosciences.249:1–7.doi:10.1016/j.mbs.2014.01.001.PMID 24480737.
  12. ^Goede, SL; Leow, MK; Smit, JW; Klein, HH; Dietrich, JW (June 2014). "Hypothalamus-pituitary-thyroid feedback control: implications of mathematical modeling and consequences for thyrotropin (TSH) and free thyroxine (FT4) reference ranges".Bulletin of Mathematical Biology.76 (6):1270–87.doi:10.1007/s11538-014-9955-5.PMID 24789568.
  13. ^Li, E; Yen, PM; Dietrich, JW; Leow, MK (May 2021). "Profiling retrospective thyroid function data in complete thyroidectomy patients to investigate the HPT axis set point (PREDICT-IT)".Journal of Endocrinological Investigation.44 (5):969–977.doi:10.1007/s40618-020-01390-7.PMID 32808162.
  14. ^Wolff, TM; Dietrich, JW; Müller, MA (2022)."Optimal Hormone Replacement Therapy in Hypothyroidism - A Model Predictive Control Approach".Frontiers in Endocrinology.13 884018.doi:10.3389/fendo.2022.884018.PMC 9263720.PMID 35813623.
  15. ^Dietrich, Johannes W. (2024)."P4-Endokrinologie – Kybernetische Perspektiven eines neuen Ansatzes"(PDF).Leibniz Online (in German).54.doi:10.53201/LEIBNIZONLINE54.
  16. ^Alon, Uri (2024).Systems medicine: physiological circuits and the dynamics of disease (First ed.). Boca Rato London New York: CRC Press, Taylor & Francis Group.ISBN 978-1-032-41185-9.
  17. ^Tsukamoto, Y (21 June 1979). "An information theory of the genetic code".Journal of Theoretical Biology.78 (4):451–98.Bibcode:1979JThBi..78..451T.doi:10.1016/0022-5193(79)90187-5.PMID 513794.
  18. ^Figureau, A (1987). "Information theory and the genetic code".Origins of Life and Evolution of Biospheres.17 (3–4):439–49.Bibcode:1987OrLi...17..439F.doi:10.1007/BF02386481.PMID 3627775.S2CID 25129093.
  19. ^Battail, Gérard (2007). "Information Theory and Error-Correcting Codes In Genetics and Biological Evolution".Introduction to Biosemiotics:299–345.doi:10.1007/1-4020-4814-9_13.ISBN 978-1-4020-4813-5.
  20. ^Kuruoglu, EE; Arndt, PF (21 April 2017). "The information capacity of the genetic code: Is the natural code optimal?".Journal of Theoretical Biology.419:227–237.Bibcode:2017JThBi.419..227K.doi:10.1016/j.jtbi.2017.01.046.hdl:21.11116/0000-0000-7D7E-8.PMID 28163008.
  21. ^Ramakrishnan, Nithya; Bose, R. (20 August 2012). "Dipole entropy based techniques for segmentation of introns and exons in DNA".Applied Physics Letters.101 (8): 083701.Bibcode:2012ApPhL.101h3701R.doi:10.1063/1.4747205.

Further reading

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  • V.V. Parin (1959), "Introduction to medical Cybernetics" inNASA Technical Translation no.F-459-F-462, National Aeronautics and Space Administration, 1959.
  • C.A. Muses (1965). "Aspects of some crucial problems in biological and medical cybernetics". In:Progress in biocybernetics, 1965.

External links

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Subfields of and cyberneticians involved incybernetics
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