Häftad, Engelska, 2027
Deciphering Cancer Resistance
Mechanisms, Targets, and Emerging Therapies
Av Abraham Pedroza-Torres, Rosa M. Alvarez-Gomez
Del i serien Novel approaches to overcome cancer resistance to conventional therapies
2034 kr
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Beskrivning
For academics, this resource consolidates the latest research and clinical developments, aiding researchers, clinicians, and students in staying updated on advancements. It will also be a great guide for graduate studies and research, offering critical insights into drug development and targeted therapies for professionals in the pharmaceutical and biotechnology sectors, ultimately driving progress in cancer treatment.
- Provides an in-depth analysis of cellular, molecular, and genetic mechanisms behind cancer treatment resistance
- Explores cutting-edge technologies such as CAR-T cell therapy, nanotechnology, and artificial intelligence in addressing resistance
- Presents the latest preclinical and clinical data, including newly FDA-approved therapies, to enhance patient outcomes
Produktinformation
- Utgivningsdatum: 2027-09-01
- Mått: 191 x 235 x undefined mm
- Vikt: 450 g
- Format: Häftad
- Språk: Engelska
- Serie: Novel approaches to overcome cancer resistance to conventional therapies
- Antal sidor: 330
- Förlag: Elsevier Science
- ISBN: 9780443456596
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Mer om författaren
Dr. Pedroza-Torres is a specialist in molecular biology and cancer research, with a focus on identifying molecular markers associated with treatment resistance in ovarian cancer. His research also explores the role of cellular exosomes in modulating the tumor microenvironment and influencing the response to cisplatin therapy. Dr. Alvarez-Gomez is aspecialist in genetics and cancer risk assessment. Currently, she is the chief of the Hereditary Cancer Clinic at National Cancer Institute (INCAN), Mexico. Dr. Alvarez's multidisciplinary clinical and research program emphasizes the relevance of the translational medicine in diagnosis, treatment and assessment of patients with inherited cancer and their families.
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