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Breast Cancer Pathophysiology: An Interdisciplinary Approach / / edited by Nima Rezaei
Breast Cancer Pathophysiology: An Interdisciplinary Approach / / edited by Nima Rezaei
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (330 pages)
Disciplina 616.9944907
Collana Interdisciplinary Cancer Research
Soggetto topico Cancer
Cancer - Treatment
Cancer - Animal models
Stem cells
Medical screening
Artificial intelligence
Cancer Biology
Cancer Therapy
Cancer Models
Cancer Stem Cells
Cancer Screening
Artificial Intelligence
ISBN 9783031658358
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Interdisciplinary Approach in Breast Cancer -- Circulating Tumor Cells in Breast Cancer -- Breast Cancer Cells Extravasation Across the Blood-Brain Barrier: From Basic to Translational Research -- Turn in Breast Cancer Care: Upregulation of Estrogen Signal May Be Much More Effective than Its Inhibition -- Role of Membrane Estrogen Receptor (GPER1) on the Function of Immune Cells and Its Consequences on Breast Cancer Pathophysiology -- The Effect of Dietary n-3 Polyunsaturated Fatty Acids on Non-obese and Obesity-Associated Breast Cancer -- The Role of Soy and Its Isoflavones in Breast Cancer: Beneficial or Harmful? -- Mammographic Breast Density and Utility in Breast Cancer Screening and Clinical Decision-Making -- Advanced 3D In Vitro Models to Recapitulate the Breast Tumor Microenvironment -- Breast Cancer Metastasis to Bone: Look into the Future -- Breast Cancer: The Fight for Survival Is Won: What Is the Evidence for Preserving Fertility? -- Breast Cancer and Pregnancy: Challenges for Maternal and Newborn Successful Outcomes -- Computer-Aided Approach for BI-RADS Breast Density Classification: Multicentric Retrospective Study -- Correction to: Mammographic Breast Density and Utility in Breast Cancer Screening and Clinical Decision-Making.
Record Nr. UNINA-9910874682603321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Cancer, Complexity, Computation [[electronic resource] /] / edited by Igor Balaz, Andrew Adamatzky
Cancer, Complexity, Computation [[electronic resource] /] / edited by Igor Balaz, Andrew Adamatzky
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (349 pages)
Disciplina 610.28
Collana Emergence, Complexity and Computation
Soggetto topico Engineering mathematics
Engineering - Data processing
Dynamics
Nonlinear theories
Cancer - Animal models
Mathematical and Computational Engineering Applications
Applied Dynamical Systems
Cancer Models
Enginyeria biomèdica
Tumors
Resistència als medicaments
Soggetto genere / forma Llibres electrònics
ISBN 3-031-04379-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto What Cancer Is by J. James Frost -- Complementarity, Complexity and the Fokker-Planck Equation; From the Microscale Quantum Stochastic Events to Fractal Dynamics of Cancer -- Quantitative in vivo Imaging to Enable Tumor Forecasting and Treatment Optimization.
Record Nr. UNISA-996485662103316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Cancer, Complexity, Computation / / edited by Igor Balaz, Andrew Adamatzky
Cancer, Complexity, Computation / / edited by Igor Balaz, Andrew Adamatzky
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (349 pages)
Disciplina 610.28
616.9940072
Collana Emergence, Complexity and Computation
Soggetto topico Engineering mathematics
Engineering - Data processing
Dynamics
Nonlinear theories
Cancer - Animal models
Mathematical and Computational Engineering Applications
Applied Dynamical Systems
Cancer Models
ISBN 3-031-04379-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto What Cancer Is by J. James Frost -- Complementarity, Complexity and the Fokker-Planck Equation; From the Microscale Quantum Stochastic Events to Fractal Dynamics of Cancer -- Quantitative in vivo Imaging to Enable Tumor Forecasting and Treatment Optimization.
Record Nr. UNINA-9910586588803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Cell Migration in Development, Health and Disease / / edited by Anke Brüning-Richardson, Sabine Knipp
Cell Migration in Development, Health and Disease / / edited by Anke Brüning-Richardson, Sabine Knipp
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (332 pages)
Disciplina 571.67
Collana Learning Materials in Biosciences
Soggetto topico Cell migration
Developmental biology
Cytology
Diseases
Cancer
Cancer - Animal models
Cell Migration
Developmental Biology and Stem Cells
Mechanisms of Disease
Cancer Biology
Cancer Models
ISBN 9783031645327
3031645324
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part 1 -- 1 . Introduction to cell migration.Anke Brüning-Richardson, A., Department of Biological and Geographical Sciences, University of Huddersfield, Queensgate, UK -- 2 . Cell migration in Development. Sabine Knipp. University of Huddersfield, Queensgate, HD1 3DH, UK. Universitätsklinikum Hamburg-Eppendorf, Microscopy Imaging Facility, Hamburg, Germany -- 3 . Cell migration in wound healing. Jessica J. Senior, University of Huddersfield, Queensgate, UK -- 4 . Cell migration in immune responses Giuliana Clemente, School of Biochemistry, University of Bristol, Bristol, UK -- 5 . Cell migration in cancer; cell migration in 2D and 3D. Anke Brüning-Richardson and Catherine Kirby, Department of Biological and Geographical Sciences, University of Huddersfield, Queensgate, UK -- 6 . Biophysical and biochemical foundations of cell migration. Jonathan E. Dawson, Engineering and Physics Department, Whitworth University, USA and Abdul N. Malmi-Kakkada, Department of Chemistry and Physics, Augusta University 1201 Goss Ln, GA, USA.-Part 2 -- 7 . Methods to investigate cell migration. Anke Brüning-Richardson, Department of Biological and Geographical Sciences, University of Huddersfield, UK and Sean Lawler, Department of Pathology and Laboratory Medicine, Brown University, Providence, USA -- 8 . 3D bioprinting of cell migration. Jessica J. Senior. University of Huddersfield, Queensgate, UK -- 9 . Using high resolution imaging to investigate cell migration in vitro. Michelle Peckham, School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK -- 10 . Mathematical and Computational Modelling of Immune Cell Responses in Cell Migration.Temitope O. Benson. Institute for Computational and Data Sciences, University at Buffalo, State University of New York, USA -- 11 . Computational modelling of cell migration.Roman Bauer, University of Surrey, Guildford, UK -- 12 . Software applications for analysis of cell migration.Arndt Rohwedder, Johannes Kepler University Linz, Linz, Austria -- 13 . Pharmacological strategies for targeting cancer cell migration and invasion. Roger M Phillips. School of Applied Sciences, University of Huddersfield, Queensgate, UK -- 14 . Oncolytic viral therapy for targeting cell migration.Anke Brüning-Richardson, A., Department of Biological and Geographical Sciences, University of Huddersfield, Queensgate, UK -- 15 . In vivo models of cell migration. Kannan Govindaraj, Developmental Bioengineering, Technical Medical Centre, University of Twente, Enschede, The Netherlands and Prasanna Padmanaban, Vascularization Lab, Biomechanical Engineering Department, Technical Medical Centre, University of Twente, Enschede, The Netherlands and European Molecular Biology Laboratory, Barcelona, Spain.
Record Nr. UNINA-9910906191703321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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The Drosophila Model in Cancer : Volume II / / edited by Wu-Min Deng, Cayetano Gonzaléz
The Drosophila Model in Cancer : Volume II / / edited by Wu-Min Deng, Cayetano Gonzaléz
Autore Deng Wu-Min
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (492 pages)
Disciplina 571.978
616.994
Altri autori (Persone) GonzalézCayetano
Collana Advances in Experimental Medicine and Biology
Soggetto topico Cancer
Cancer - Animal models
Cancer - Genetic aspects
Cancer Biology
Cancer Models
Cancer Genetics and Genomics
Cancers
ISBN 3-031-97035-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Unveiling the Tumor Suppressors: Insights from Drosophila -- Chapter 2. Notch signaling in Drosophila tumor models -- Chapter 3. Non-autonomous Regulation of Tumor Growth -- Chapter 4. Transcriptional Regulation of Lipid Metabolism by Wnt Signaling and Hox Protein Cues. - Chapter 5. The power of Drosophila in Modeling Cancer Cachexia -- Chapter 6. Drosophila Intestine as a Model to Study Tumors -- Chapter 7. Host-microbe Interactions in Drosophila Cancer -- Chapter 8. Drosophila as a Model for Metastasis -- Chapter 9. Epigenetic regulation in Drosophila Tumor Models -- Chapter 10. From the Making of a neural lineage to the Making of a Tumor: Lessons from the “simple” Drosophila Brain -- Chapter 11. Drosophila Melanogaster as a Model System for Human Glioblastoma -- Chapter 12. Translationally Controlled Tumor Protein (Tctp) and Growth Regulation in the Drosophila model -- Chapter 13. Modelling Cancer in Drosophila: Exploration to Personalised Medicine -- Chapter 14. SVC112; from hummingbirds to Head and Neck Cancer.
Record Nr. UNINA-9911018763903321
Deng Wu-Min  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Evolutionary Dynamics of Malignancy : The Genetic and Environmental Causes of Cancer / / by Robert C. Jackson
Evolutionary Dynamics of Malignancy : The Genetic and Environmental Causes of Cancer / / by Robert C. Jackson
Autore Jackson Robert C
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (271 pages)
Disciplina 616.994042
Soggetto topico Cancer
Cancer - Animal models
Cancer - Treatment
Cancer - Genetic aspects
Cancer Biology
Cancer Models
Cancer Therapy
Cancer Genetics and Genomics
Cancer Microenvironment
ISBN 9783031325731
3031325737
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Cancer as a Disease of Cell Proliferation -- Chapter 2: Genetic and Chromosomal Instability -- Chapter 3: Cancer as a Disease of Defective Cell Cycle Checkpoint Function -- Chapter 4: The DNA Damage Checkpoint -- Chapter 5: Dynamics of the Spindle Assembly Checkpoint -- Chapter 6: Cancer as a Disease of Complexity: The Dynamics of Drug Resistance -- Chapter 7: Chronic Myeloid Leukaemia: a One-Hit Malignancy -- Chapter 8: Chronic Myelomonocytic Leukaemia: a Three-Hit Malignancy -- Chapter 9: The Cancer Stem Cell and Tumour Progression -- Chapter 10: Evading the antitumour immune response -- Chapter 11: Implications of Evolutionary Dynamics for Cancer Treatment and Prevention -- Chapter 12: In science, all conclusions are provisional.
Record Nr. UNINA-9910734821703321
Jackson Robert C  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Handbook of Animal Models and its Uses in Cancer Research / / edited by Surajit Pathak, Antara Banerjee, Atil Bisgin
Handbook of Animal Models and its Uses in Cancer Research / / edited by Surajit Pathak, Antara Banerjee, Atil Bisgin
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (1158 pages)
Disciplina 616.027
Soggetto topico Cancer - Animal models
Tumors
Tumors - Immunological aspects
Cancer Models
Cancer Staging
Tumour Immunology
ISBN 981-19-3824-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Module 1_Animal Models in Cancer Research -- Animal Models in Cancer Research -- Module 2_ Therapeutic Cancer Research and Animal Models-Module 3_Alternative approaches for models of cancer research.
Record Nr. UNINA-9910647770203321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Lung Cancer Diagnosis and Treatment: An Interdisciplinary Approach / / edited by Nima Rezaei
Lung Cancer Diagnosis and Treatment: An Interdisciplinary Approach / / edited by Nima Rezaei
Autore Rezaei Nima
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (367 pages)
Disciplina 571.978
616.994
Collana Interdisciplinary Cancer Research
Soggetto topico Cancer
Cancer - Treatment
Cancer - Animal models
Immunotherapy
Tumors - Immunological aspects
Cancer - Imaging
Cancer Biology
Cancer Therapy
Cancer Models
Tumour Immunology
Cancer Imaging
ISBN 3-031-74329-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Application of Artificial Intelligence in Lung Cancer Detection: The Integration of Computational Power and Clinical Decision-Making -- Advancement in Lung Cancer Diagnosis: A Comprehensive Review of Deep Learning Approaches -- AI Role to Decipher High-Dimensional Data for Early Prognosis of Non-Small-Cell Lung Cancer -- Emerging Paradigms in Lung Cancer Treatment: Recent Breakthroughs and Innovation -- Targeting Immune Determinants of Creating Tumor Heterogeneity in Lung Cancer -- Checkpoint Inhibitors in Non-small Cell Lung Cancer: Potentials and Challenges -- Nanoparticles: A Treatment Modality for Lung Cancer -- Applications of Metallic Nanoparticles in Lung Cancer Treatment -- Combination of Stereotactic Ablative Radiotherapy and Systemic Therapy in Oligoprogressive Non-small Cell Lung Cancer -- Challenges in First-Line Osimertinib Therapy in EGFR-Mutant Non-small Cell Lung Cancer: Acquired Resistance Is the Issue -- Lung Immunotherapy in the Elderly with NSCLC – the Who, the What, and the When -- Drug Resistance in Lung Cancer -- Patient-Derived Organoids as a Stem Cell Model to Study Lung Cancer -- The Multidisciplinary Management of Lung Cancer in the European Community.
Record Nr. UNINA-9910890175403321
Rezaei Nima  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Preclinical cancer models for translational research and drug development / / edited by Suresh P.K., Arindam Banerjee
Preclinical cancer models for translational research and drug development / / edited by Suresh P.K., Arindam Banerjee
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (XI, 168 p. 51 illus., 50 illus. in color.)
Disciplina 571.978
616.994
Soggetto topico Cancer
Cancer - Animal models
Tumor markers
Cancers
Cancer Models
Tumour Biomarkers
ISBN 981-9757-42-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preclinical Models for Cancer Research and Development.-Insight on the Current Advancements in the Diagnosis and Treatment of Head and Neck Cancer -- The role of oral cancer heterogeneity in therapies in various cellular and preclinical models -- In-depth analysis of Self-assembled in-vitro spheroidal and organoid systems -- Preclinical in vivo animal xenograft models -- Heterogeneity and biomarkers of therapeutic response and resistance -- Higher Order in vitro Models of dysregulated bioenergetics mechanisms and drug development -- In Silico Strategies for Cancer Model Development and Anticancer Drug Testing.
Record Nr. UNINA-9910987788703321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
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