Multiple organ dysfunction syndrome: Exploring the paradigm of complex nonlinear systems

Heart rate variability: Standards of measurement, physiological interpretation, and clinical use

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Multiple Organ Failure Pathophysiology and Potential Future Therapy

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From Clocks to Chaos: The Rhythms of Life

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Sir Isaac Newton, sepsis, SIRS, and CARS

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Psychoneuroimmunology: interactions between the nervous system and the immune system

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Multiple System Organ Failure

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Sepsis: From Pattern to Mechanism and Back

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Analysis of heart rate variability as a predictor of mortality in cardiovascular patients of intensive care unit

Moridani, M. K., Setarehdan, S. K., Nasrabadi, A. M., & Hajinasrollah, E. (2015) · Journal of Applied Biomedicine · doi:10.1016/j.bbe.2015.05.004 · Cited by 31

Septic Shock Diagnosis by Neural Networks and Rule Based Systems

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Optimal Perioperative Blood Pressure Management

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Heart rate variability measures for prediction of severity of illness and poor outcome in ED patients with sepsis

Arbo, J. E., Lessing, J. K., Ford, W. J. H., Clark, S., Finkelsztein, E. J., Schenck, E. J., Sharma, R., & Heerdt, P. M. (2020) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2020.01.012 · Cited by 28

Temperature multiscale entropy analysis: a promising marker for early prediction of mortality in septic patients

Papaioannou, V. E., Chouvarda, I., Maglaveras, N., Baltopoulos, G., & Pneumatikos, I. A. (2013) · Physiological Measurement · doi:10.1088/0967-3334/34/11/1449 · Cited by 28

Heart rate variability, baroreflex function and heart rate turbulence: possible origin and implications.

Papaioannou, V. E. (2007) · PubMed · Cited by 28

Cardiac Arrhythmias in a Septic ICU Population: A Review

Schwartz, A., Brotfain, E., Koyfman, L., & Klein, M. (2015) · The Journal of Critical Care Medicine · doi:10.1515/jccm-2015-0027 · Cited by 28

A conceptual cellular interaction model of left ventricular remodelling post-MI: dynamic network with exit-entry competition strategy

Wang, Y., Han, H., Yang, J. Y., Lindsey, M. L., & Jin, Y. (2010) · BMC Systems Biology · doi:10.1186/1752-0509-4-s1-s5 · Cited by 27

MOUSE MODELS OF RESUSCITATED SHOCK

Hollenberg, S. M. (2005) · Shock · doi:10.1097/01.shk.0000191415.02085.48 · Cited by 27

Forecasting craniofacial growth in individuals with class III malocclusion by computational modelling

Auconi, P., Scazzocchio, M., Defraia, E., McNamara, J. A., & Franchi, L. (2013) · European Journal of Orthodontics · doi:10.1093/ejo/cjt036 · Cited by 26

A Multiscale Entropy-Based Tool for Scoring Severity of Systemic Inflammation*

Vandendriessche, B., Peperstraete, H., Rogge, E., Cauwels, P. P., Hoste, E. A. J., Stiedl, O., Brouckaert, P., & Cauwels, A. (2014) · Critical Care Medicine · doi:10.1097/ccm.0000000000000299 · Cited by 25

Peripheral-to-central immune communication at the area postrema glial-barrier following bleomycin-induced sterile lung injury in adult rats

Litvin, D. G., Denstaedt, S. J., Borkowski, L. F., Nichols, N. L., Dick, T. E., Smith, C. B., & Jacono, F. J. (2020) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2020.02.006 · Cited by 23

Using What You Get

Holder, A. L., & Clermont, G. (2014) · Critical Care Clinics · doi:10.1016/j.ccc.2014.08.007 · Cited by 25

Feasibility of continuous multiorgan variability analysis in the intensive care unit

Bradley, B. D., Green, G. C., Batkin, I., & SEELY, A. J. E. (2011) · Journal of Critical Care · doi:10.1016/j.jcrc.2011.09.009 · Cited by 25

Continuous Multiorgan Variability monitoring in critically ill patients — Complexity science at the bedside

SEELY, A. J. E., Green, G. C., & Bravi, A. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091404 · Cited by 24

Modeling Physiologic Variability in Human Endotoxemia

Scheff, J. D., Mavroudis, P. D., Foteinou, P. T., Calvano, S. E., & Androulakis, I. P. (2012) · Critical Reviews in Biomedical Engineering · doi:10.1615/critrevbiomedeng.v40.i4.60 · Cited by 24

Systems Medicine 2.0: Potential Benefits of Combining Electronic Health Care Records With Systems Science Models

Tillmann, T., Gibson, A. R., Scott, G., Harrison, O., Dominiczak, A. F., & Hanlon, P. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3082 · Cited by 24

Heart Rate Variability in Porcine Progressive Peritonitis-Induced Sepsis

Jarkovská, D., Valešová, L., Chvojka, J., Beneš, J., Švíglerová, J., Florová, B., Nalos, L., Matějovič, M., & Štengl, M. (2016) · Frontiers in Physiology · doi:10.3389/fphys.2015.00412 · Cited by 23

Tissue- and Time-Dependent Upregulation of Cytokine mRNA in a Murine Model for the Multiple Organ Dysfunction Syndrome

Volman, T. J. H., Goris, R. J. A., van der Meer, J. W. M., & Hendriks, T. (2004) · Annals of Surgery · doi:10.1097/01.sla.0000130725.52373.e7 · Cited by 23

Protocol of the sepsivit study: a prospective observational study to determine whether continuous heart rate variability measurement during the first 48 hours of hospitalisation provides an early warning for deterioration in patients presenting with infection or sepsis to the emergency department of a Dutch academic teaching hospital

Quinten, V. M., van Meurs, M., Renes, M. H., Ligtenberg, J. J. M., & ter Maaten, J. C. (2017) · BMJ Open · doi:10.1136/bmjopen-2017-018259 · Cited by 22

Genomic Variations and Susceptibility to Sepsis

Papathanassoglou, E. D. E., Giannakopoulou, M. D., & Bozas, E. (2006) · AACN Advanced Critical Care · doi:10.4037/15597768-2006-4006 · Cited by 22

Genetic variability in complement activation modulates the systemic inflammatory response syndrome in children*

Agbeko, R., Fidler, K., Allen, M. L., Wilson, P., Klein, N. J., & Peters, M. J. (2010) · Pediatric Critical Care Medicine · doi:10.1097/pcc.0b013e3181d900ba · Cited by 21

Alterations of trace elements (Zn, Se, Cu, Fe) and related metalloenzymes in rabbit blood after severe trauma

Wang, B.-H., Yu, X., Wang, D., Qi, X., Wang, H.-P., Yang, T., & Xu, X. (2007) · Journal of Trace Elements in Medicine and Biology · doi:10.1016/j.jtemb.2007.03.006 · Cited by 20

Networks, biology and systems engineering: A case study in inflammation

Foteinou, P. T., Yang, E., & Androulakis, I. P. (2009) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2009.06.027 · Cited by 20

Aqueous extract of Bai-Hu-Tang, a classical Chinese herb formula, prevents excessive immune response and liver injury induced by LPS in rabbits

Zhang, S., Wang, D., Wang, X., Li, S., Li, J., Li, H., & Yan, Z. (2013) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2013.06.041 · Cited by 20

Monitoring Severity of Multiple Organ Dysfunction Syndrome: New Technologies

Typpo, K., Wong, H. R., Finley, S. D., Daniels, R. C., SEELY, A. J. E., & Lacroix, J. (2017) · Pediatric Critical Care Medicine · doi:10.1097/pcc.0000000000001050 · Cited by 21

Detecting the Hidden Properties of Immunological Data and Predicting the Mortality Risks of Infectious Syndromes

Chatzipanagiotou, S., Ioannidis, A., Trikka-Graphakos, E., Charalampaki, N., Sereti, C., Piccinini, R., Higgins, A., Buranda, T., Durvasula, R., Hoogesteijn, A., et al. (2016) · Frontiers in Immunology · doi:10.3389/fimmu.2016.00217 · Cited by 8

Multiple organ dysfunction syndrome due to tropical infections

Udwadia, F. (2003) · TSpace (University of Toronto) · Cited by 19

Continuous Hemofiltration in 2009: What Is New for Clinicians Regarding Pathophysiology, Preferred Technique and Recommended Dose?

Honoré, P. M., Joannès-Boyau, O., Collin, V., Boer, W., & Jennes, S. (2009) · Blood Purification · doi:10.1159/000227282 · Cited by 19

Effect of salt intake on beat-to-beat blood pressure nonlinear dynamics and entropy in salt-sensitive versus salt-protected rats

Fares, S. A., Habib, J. R., Engoren, M., Badr, K. F., & Habib, R. (2016) · Physiological Reports · doi:10.14814/phy2.12823 · Cited by 17

Regulatory T Cells Are Protective in Systemic Inflammation Response Syndrome Induced by Zymosan in Mice

Jia, W., Cao, L. H., Yang, S., Dong, H., Zhang, Y., Wei, H., Wei, J., Hou, L., & Wang, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064397 · Cited by 17

Relation of impaired interorgan communication and parasympathetic activity in chronic heart failure and multiple-organ dysfunction syndrome

Schmidt, H., Lotze, U., Ghanem, A., Anker, S. D., Said, S. M., Braun-Dullaeus, R. C., Oltmanns, G., Rose, S., Buerke, M., Müller‐Werdan, U., et al. (2014) · Journal of Critical Care · doi:10.1016/j.jcrc.2013.12.015 · Cited by 17

Prevalence of Periapical Rarefying Osteitis in Patients with Rheumatoid Arthritis

Jalali, P., GLICKMAN, G. N., Schneiderman, E. D., & Schweitzer, J. L. (2017) · Journal of Endodontics · doi:10.1016/j.joen.2017.02.015 · Cited by 17

The Complexity of the Homeopathic Healing Response Part 1: The Role of the Body as a Complex Adaptive System in Simillimum-Initiated Recovery from Disease

Bell, I. R. (2019) · Homeopathy · doi:10.1055/s-0039-1694998 · Cited by 17

Dynamics of Bone Loss in Cases with Acute or Chronic Apical Abscess

Jalali, P., Tahmasbi, M., Augsburger, R., Khalilkhani, N. K., & Daghighi, K. (2019) · Journal of Endodontics · doi:10.1016/j.joen.2019.05.018 · Cited by 16

Continuous Multiorgan Variability Monitoring in Critically Ill Patients: Complexity Science at the Bedside

Herry, C. L., Green, G. C., Bravi, A., & SEELY, A. J. E. (2012) · Springer eBooks · doi:10.1007/978-1-4614-4998-0_28 · Cited by 16

New issues in severity scoring: interfacing the ICU and evaluating it

Moreno, R. P., & Matos, R. (2001) · Current Opinion in Critical Care · doi:10.1097/00075198-200112000-00018 · Cited by 16

Through a glass darkly: The brave new world of in silico modeling*

Marshall, J. C. (2004) · Critical Care Medicine · doi:10.1097/01.ccm.0000142935.34916.b5 · Cited by 16

Global Research Status of Multiple Organ Dysfunction Syndrome During 2001–2021: A 20-Year Bibliometric Analysis

Zhao, P., Xia, Y. Q., Tao, Z., Li, S.-Y., Mao, Z., Yang, X., Yao, R.-Q., & Du, X. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.814381 · Cited by 16

The Soluble Guanylate Cyclase Activator BAY 58-2667 Protects against Morbidity and Mortality in Endotoxic Shock by Recoupling Organ Systems

Vandendriessche, B., Rogge, E., Goossens, V., Vandenabeele, P., Stasch, J., Brouckaert, P., & Cauwels, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0072155 · Cited by 15

Hydrocortisone at stress-associated concentrations helps maintain human heart rate variability during subsequent endotoxin challenge

Rassias, A. J., Guyre, P. M., & Yeager, M. P. (2011) · Journal of Critical Care · doi:10.1016/j.jcrc.2011.01.009 · Cited by 15

The Relationship between Blood Lactate and Survival following the Use of Adrenaline in the Treatment of Septic Shock

Omar, S., Burchard, A. T., Lundgren, A. C., Mathivha, L. R., & Dulhunty, J. M. (2011) · Anaesthesia and Intensive Care · doi:10.1177/0310057x1103900316 · Cited by 15

Clinically Interpretable Machine Learning Models for Early Prediction of Mortality in Older Patients with Multiple Organ Dysfunction Syndrome: An International Multicenter Retrospective Study

Liu, X., DuMontier, C., Hu, P., Liu, C., Yeung, W., Mao, Z., Ho, V., Thoral, P. J., Kuo, P.-C., Hu, J., et al. (2023) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glac107 · Cited by 14

Smoothed Periodogram of Oxyhemoglobin Saturation by Pulse Oximetry in Sleep Apnea Syndrome

Hua, C., & Yu, C.-C. (2007) · CHEST Journal · doi:10.1378/chest.06-1624 · Cited by 14

A multiscale modeling approach to inflammation: A case study in human endotoxemia

Scheff, J. D., Mavroudis, P. D., Foteinou, P. T., An, G. C., Calvano, S. E., Doyle, J. C., Dick, T. E., Lowry, S. F., Yoram Vodovotz, B., & Androulakis, I. P. (2012) · Journal of Computational Physics · doi:10.1016/j.jcp.2012.09.024 · Cited by 14

Healing through the lens of immunothrombosis: Biology-inspired, evolution-tailored, and human-engineered biomimetic therapies

Padilla, S., Nurden, A. T., do Prado, R. C. P., Nurden, P., & Anitua, E. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2021.121205 · Cited by 15

Variability analysis and the diagnosis, management and treatment of sepsis

Buchan, C. A., Bravi, A., & SEELY, A. J. E. (2012) · Journal of Critical Care · doi:10.1016/j.jcrc.2012.10.060 · Cited by 13

Necroptosis as a potential therapeutic target in multiple organ dysfunction syndrome

Cui, Y.-L., Qiu, L.-H., Zhou, S.-Y., Li, L.-F., Qian, Z.-Z., Liu, X.-M., Zhang, H.-L., Ren, X.-B., & Wang, Y.-Q. (2017) · Oncotarget · doi:10.18632/oncotarget.18252 · Cited by 13

Assessing the Dynamics and Complexity of Disease Pathogenicity Using 4-Dimensional Immunological Data

Rivas, A., Hoogesteijn, A., Antoniades, A., Tomazou, M., Buranda, T., Perkins, D., Fair, J., Durvasula, R., Fasina, F., Tegos, G., et al. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01258 · Cited by 11

Is Early Goal-Directed Therapy Harmful to Patients With Sepsis and High Disease Severity?

Kalil, A. C., & Kellum, J. A. (2017) · Critical Care Medicine · doi:10.1097/ccm.0000000000002513 · Cited by 13

Role of Heart Rate Variability in Non-Invasive Electrophysiology: Prognostic Markers of Cardiovascular Disease

Takase, B. (2010) · Journal of Arrhythmia · doi:10.1016/s1880-4276(10)80021-3 · Cited by 12

Heart disease classification through HRV analysis using Parallel Cascade Identification and Fast Orthogonal Search

Nizami, S., Green, J. R., Eklund, J., & McGregor, C. (2010) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2010.5480217 · Cited by 12

Biomarkers as end points in clinical trials of severe sepsis: A garden of forking paths*

Salluh, J. I., & Póvoa, P. M. S. R. (2010) · Critical Care Medicine · doi:10.1097/ccm.0b013e3181e941f6 · Cited by 12

ETANERCEPT REDUCES ACUTE TISSUE INJURY AND MORTALITY ASSOCIATED TO ZYMOSAN-INDUCED MULTIPLE ORGAN DYSFUNCTION SYNDROME

Malleo, G., Mazzon, E., Genovese, T., Paola, R. D., Muià, C., Caminiti, R., Esposito, E., Bella, P. D., & Cuzzocrea, S. (2008) · Shock · doi:10.1097/shk.0b013e3181507234 · Cited by 11

Deciphering the Sepsis Riddle

Kalil, A. C. (2013) · Critical Care Medicine · doi:10.1097/ccm.0b013e3182a11ebe · Cited by 11

Decreased Heart Rate Variability in COVID-19

Yin, C., Li, J., Wang, Z., Zhi, Y., & Xu, L. (2022) · Intensive Care Research · doi:10.1007/s44231-022-00024-1 · Cited by 10

Heart Rate Variability: A Potential Tool for Monitoring Immunomodulatory Effects of Parenteral Fish Oil Feeding in Patients With Sepsis

Papaioannou, V. E., & Pnevmatikos, I. (2019) · Nutrition and Metabolic Insights · doi:10.1177/1178638819847486 · Cited by 10

Sepsis, Severe Sepsis, and Septic Shock

Munford, R. S., & Suffredini, A. F. (2015) · Elsevier eBooks · doi:10.1016/b978-1-4557-4801-3.00075-8 · Cited by 10

Pentoxifylline does not improve outcome in a murine model for the multiple-organ dysfunction syndrome

Volman, T. J. H., Goris, R. J. A., & Hendriks, T. (2005) · Intensive Care Medicine · doi:10.1007/s00134-005-2570-z · Cited by 10

Cardiorespiratory dynamics during transitions between mechanical and spontaneous ventilation in intensive care

Burykin, A., & Buchman, T. G. (2008) · Complexity · doi:10.1002/cplx.20229 · Cited by 10

Multiple organ dysfunction syndrome pathogenesis and care: a complex systems’ theory perspective

Papathanassoglou, E. D. E., Bozas, E., & Giannakopoulou, M. D. (2008) · Nursing in Critical Care · doi:10.1111/j.1478-5153.2008.00289.x · Cited by 9

Biosignal analysis techniques for weaning outcome assessment

Papaioannou, V. E., Dragoumanis, C., & Pneumatikos, I. A. (2009) · Journal of Critical Care · doi:10.1016/j.jcrc.2009.04.006 · Cited by 9

Endodontic inter-appointment flare-ups: An example of chaos?

Jalali, P., & Hasselgren, G. (2015) · Dental Hypotheses · doi:10.4103/2155-8213.158471 · Cited by 9

The Strengths and Limits of Animal Models as Illustrated by the Discovery and Development of Antibacterials

Greek, R., & Hansen, L. A. (2012) · Biological Systems Open Access · doi:10.4172/2329-6577.1000109 · Cited by 10

Septischer Kreislaufschock und septische Kardiomyopathie

Müller‐Werdan, U., & Werdan, K. (2005) · Springer eBooks · doi:10.1007/3-540-26587-2_11 · Cited by 9

Increased expression of matrix metalloproteinases in the murine zymosan‐induced multiple organ dysfunction syndrome

Volman, T. J. H., Goris, R. J. A., Lomme, R., DeGroot, J., Verhofstad, A. A. J., & Hendriks, T. (2004) · The Journal of Pathology · doi:10.1002/path.1594 · Cited by 9

Diagnosis and Treatment of Complications

Roberts, C. S., Gleis, G. E., & Seligson, D. (2009) · Elsevier eBooks · doi:10.1016/b978-1-4160-2220-6.10020-9 · Cited by 9

Early Warning of Infection in Patients Undergoing Hematopoietic Stem Cell Transplantation Using Heart Rate Variability and Serum Biomarkers

Buchan, C. A., Li, H. O., Herry, C. L., Scales, N. B., MacPherson, P. A., Faller, E., Bredeson, C., Huebsch, L. B., Hodgins, M., & SEELY, A. J. E. (2021) · Transplantation and Cellular Therapy · doi:10.1016/j.jtct.2021.04.023 · Cited by 8

Report of a Case Series of Ultra Low-Frequency Oscillations in Cardiac Output in Critically Ill Adults with Sepsis, Systemic Inflammatory Response Syndrome, and Multiple Organ Dysfunction Syndrome

Seiver, A. J., & Szaflarski, N. L. (2003) · Shock · doi:10.1097/01.shk.0000075570.93053.65 · Cited by 8

Systems biology and translational research

Clermont, G., & Neugebauer, E. A. M. (2005) · Journal of Critical Care · doi:10.1016/j.jcrc.2005.09.015 · Cited by 8

Roadmap for the evolution of monitoring: developing and evaluating waveform-based variability-derived artificial intelligence-powered predictive clinical decision support software tools

SEELY, A. J. E., Newman, K. D., Ramchandani, R., Herry, C. L., Scales, N. B., Hudek, N., Brehaut, J., Jones, D. B., Ramsay, T., Barnaby, D. P., et al. (2024) · Critical Care · doi:10.1186/s13054-024-05140-6 · Cited by 8

Monitoring Variability and Complexity at the Bedside

SEELY, A. J. E., Newman, K. D., & Herry, C. L. (2016) · Springer eBooks · doi:10.1007/978-3-319-26221-5_8 · Cited by 6

A Complex Systems View of Sepsis

Mann-Salinas, L. E. A., Engebretson, J. C., & Batchinsky, A. I. (2012) · Dimensions of Critical Care Nursing · doi:10.1097/dcc.0b013e31827680e4 · Cited by 7

From Celsus to Galen to Bone: The Illnesses, Syndromes, and Diseases of Acute Inflammation

Marshall, J. C., & Aarts, M.-A. W. (2001) · Springer eBooks · doi:10.1007/978-3-642-59467-0_1 · Cited by 7

Cardiac and gait rhythms in healthy younger and older adults during treadmill walking tasks

Wittstein, M. W., Starobin, J. M., Schmitz, R. J., Shulz, S. J., Haran, F. J., & Rhea, C. K. (2018) · Aging Clinical and Experimental Research · doi:10.1007/s40520-018-0962-5 · Cited by 7

Phenomenological issues related to the measurement, mechanisms and manipulation of complex biological systems*

An, G. C. (2005) · Critical Care Medicine · doi:10.1097/01.ccm.0000191131.95141.52 · Cited by 7

Essential New Complexity-Based Themes for Patient-Centered Diagnosis and Treatment of Dementia and Predementia in Older People: Multimorbidity and Multilevel Phenomenology

Wertman, E. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13144202 · Cited by 6

Heart rate variability and infection: Diagnosis, prognosis, and prediction

SEELY, A. J. E. (2006) · Journal of Critical Care · doi:10.1016/j.jcrc.2006.06.001 · Cited by 6

Enteral nutrition: How do we get more of the good and less of the bad and ugly?

Thorborg, P. A. J. (2001) · Critical Care Medicine · doi:10.1097/00003246-200108000-00023 · Cited by 6

Predictive and Prognostic Value of Heart Rate Variability Analysis in Early Bedside Diagnosis and Management of COVID-19 Patients

Mageed, N. A. (2020) · Anaesthesia & Surgery Open Access Journal · doi:10.33552/asoaj.2020.01.000522 · Cited by 5

Elevated serum galectin-1 concentrations are associated with increased risks of mortality and acute kidney injury in critically ill patients

Chou, R., Tsai, C.-T., Lu, Y., Guo, J., Lu, C.-T., Tsai, Y.-L., Wu, C., Lin, S., Lien, R., Lu, S.-F., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0257558 · Cited by 5

Detection of Ischemic Episodes Based on Two Consecutive Declines in the JT/ST Algebraic Relationship

Šiaučiūnaitė, V., Vainoras, A., Navickas, Z., & Ragulskis, M. K. (2021) · Applied Sciences · doi:10.3390/app11114805 · Cited by 5

Combining blood pressure variability and heart rate variability to analyze the autonomic nervous function of rotenone induced Parkinson’s rat model

Yang, N., Tan, T., Wei, J., Gao, X., Wang, M., Li, R., Wang, C., Lei, M., Hu, H., Wang, M., et al. (2024) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2024.110217 · Cited by 5

Visualization of Complex Processes in Cardiovascular System during Electrical Auricular Vagus Nerve Stimulation

Šiaučiūnaitė, V., Ragulskis, M. K., Vainoras, A., Dabiri, B., & Kaniušas, E. (2021) · Diagnostics · doi:10.3390/diagnostics11122190 · Cited by 6

Cardio-Hypothalamic-Pituitary Coupling during Rest and in Response to Exercise

Berry, N. T., Rhea, C. K., & Wideman, L. (2022) · Entropy · doi:10.3390/e24081045 · Cited by 5

The Impact of Stochasticity and Its Control on a Model of the Inflammatory Response

Mavroudis, P. D., Scheff, J. D., Doyle, J. C., Yoram Vodovotz, B., & Androulakis, I. P. (2018) · Computation · doi:10.3390/computation7010003 · Cited by 5

The International Sepsis Forum's controversies in sepsis: how will sepsis be treated in 2051?

Marshall, J. C. (2002) · Critical Care · doi:10.1186/cc1539 · Cited by 5

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