Matemáticas
Departamento
Hospital Universitario Puerta del Mar
Cádiz, EspañaPublicaciones en colaboración con investigadores/as de Hospital Universitario Puerta del Mar (14)
2024
2023
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Correlation Between Opioid Drug Prescription and Opioid-Related Mortality in Spain as a Surveillance Tool: Ecological Study
JMIR public health and surveillance, Vol. 9, pp. e43776
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Mathematical modeling of leukemia chemotherapy in bone marrow
Mathematical Modelling of Natural Phenomena, Vol. 18
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The relapsed acute lymphoblastic leukemia network (ReALLNet): a multidisciplinary project from the spanish society of pediatric hematology and oncology (SEHOP)
Frontiers in Pediatrics, Vol. 11
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The shape of cancer relapse: Topological data analysis predicts recurrence in paediatric acute lymphoblastic leukaemia
PLoS Computational Biology, Vol. 19, Núm. 8 August
2022
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B-cell leukemia relapse prediction based on topological data analysis
Congreso Bienal de la Real Sociedad Matemática Española
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Correction to: Mathematical models of leukaemia and its treatment: a review (SeMA Journal, (2022), 79, 3, (441-486), 10.1007/s40324-022-00296-z)
SeMA Journal
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DYNAMICS OF FEEDBACK SIGNALLING IN B LYMPHOCYTES DEVELOPMENT
13th INTERNATIONAL CONFERENCE DYNAMICAL SYSTEMS APPLIED TO BIOLOGY AND NATURAL SCIENCES (DSABNS)
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Evolution of B lymphocytes leukemia and its treatment
13th INTERNATIONAL CONFERENCE DYNAMICAL SYSTEMS APPLIED TO BIOLOGY AND NATURAL SCIENCES (DSABNS)
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Mathematical models of leukaemia and its treatment: a review
SeMA Journal, Vol. 79, Núm. 3, pp. 441-486
2021
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A mathematical description of the bone marrow dynamics during car T-cell therapy in B-cell childhood acute lymphoblastic leukemia
International Journal of Molecular Sciences, Vol. 22, Núm. 12
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CAR T cell therapy in B-cell acute lymphoblastic leukaemia: Insights from mathematical models
Communications in Nonlinear Science and Numerical Simulation, Vol. 94
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Dynamical properties of feedback signalling in B lymphopoiesis: A mathematical modelling approach
Journal of Theoretical Biology, Vol. 522
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High-dimensional analysis of single-cell flow cytometry data predicts relapse in childhood acute lymphoblastic leukaemia
Cancers, Vol. 13, Núm. 1, pp. 1-20