Open Access
Issue
E3S Web Conf.
Volume 399, 2023
International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
Article Number 09002
Number of page(s) 9
Section Life Science
DOI https://doi.org/10.1051/e3sconf/202339909002
Published online 12 July 2023
  1. Ahern. Holly. 2018. Microbiology: A Laboratory Experience. [Google Scholar]
  2. “An Efficient Numerical Method for the Robust Optimal Investment Problem with General Utility Functions.” 2022. Journal of Industrial and Management Optimization. https://doi.org/10.3934/jimo.2022212. [Google Scholar]
  3. Baliakas. Panagiotis, Theodoros Moysiadis, Anastasia Hadzidimitriou, Aliki Xochelli, Sabine Jeromin, Andreas Agathangelidis, Mattias Mattsson, et al. 2019. “Tailored Approaches Grounded on Immunogenetic Features for Refined Prognostication in Chronic Lymphocytic Leukemia.” Haematologica 104 (2): 360–369. [CrossRef] [PubMed] [Google Scholar]
  4. Brauer. Fred, Carlos Castillo-Chavez, and Zhilan Feng. 2019. Mathematical Models in Epidemiology. Springer Nature. [Google Scholar]
  5. Chabner. Bruce, and Dan Louis Longo. 2018. Cancer Chemotherapy, Immunotherapy, and Biotherapy: Principles and Practice. LWW. [Google Scholar]
  6. Dhara, S. 2001. “Immunohistochemical Localization of Insulin-like Growth Factors I and II at the Primary Implantation Site in the Rhesus Monkey.” Molecular Human Reproduction. https://doi.org/10.1093/molehr/7.4.365. [Google Scholar]
  7. Dillig. Isil, and Serdar Tasiran. 2019. Computer Aided Verification: 31st International Conference, CAV 2019, New York City, NY, USA, July 15-18, 2019, Proceedings, Part I. Springer. [Google Scholar]
  8. Galloway. Adele. n.d. “Adjuvant Interleukin-2, Interferon-Alpha and 5-Fluorouracil for Patients with High Risk of Relapse after Surgical Treatment for Renal Cell Carcinoma.”http://isrctn.org/>.https://doi.org/10.1186/isrctn16387614. [Google Scholar]
  9. Garba, Etemi Joshua, and Darious Tienhua Chinyio. 2019. “COMPUTATIONAL MODEL FOR CREATING NEURAL NETWORK DATASET OF EXTRACTED FEATURES FROM IMAGES CAPTURED BY MULTIMEDIA SECURITY DEVICES.” ICTACT Journal on Image and Video Processing. https://doi.org/10.21917/ijivp.2019.0276. [Google Scholar]
  10. Garfield. Bob. 2009. The Chaos Scenario. [Google Scholar]
  11. Lantz. Brett. 2013. Machine Learning with R. Packt Publishing Ltd. [Google Scholar]
  12. Lee, Ji Heon (paul), Alfred W. Rademaker, Bayard L. Powell, Susan Geyer, Richard A. Larson, John Gregory, Nobuko Hijiya, and James H. Feusner. 2014. “Obesity Does Not Affect the Recurrence Free Survival Rates in Children Less Than 20 Years of Age in Acute Promyelocytic Leukemia (APL).” Blood. https://doi.org/10.1182/blood.v124.21.957.957. [Google Scholar]
  13. Lübbert. Michael, Stefan Suciu, Liliana Baila, Björn Hans Rüter, Uwe Platzbecker, Aristoteles Giagounidis, Dominik Selleslag, et al. 2011. “Low-Dose Decitabine versus Best Supportive Care in Elderly Patients with Intermediate-or High-Risk Myelodysplastic Syndrome (MDS) Ineligible for Intensive Chemotherapy: Final Results of the Randomized Phase III Study of the European Organisation for Research and Treatment of Cancer Leukemia Group and the German MDS Study Group.” Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology 29 (15): 1987–1996. [Google Scholar]
  14. Mesa. Fernando, Pedro Pablo Cardenas Alzate, and Carlos Alberto Rodriguez Varela. 2017. “Solution of the Problem of Cost Optimization by Using Metaheuristic Technique and Method of Optimization with Restrictions.” Applied Mathematical Sciences. https://doi.org/10.12988/ams.2017.710313. [Google Scholar]
  15. Rodríguez. Francisco. 2021. Models ofDelay Differential Equations. [Google Scholar]
  16. Rozman, C., E. Montserrat, J. M. Rodriguez-Fernandez, R. Ayats, T. Vallespi, R. Parody, A. Rios, D. Prados, M. Morey, and F. Gomis. 1984. “Bone Marrow Histologic Pattern--the Best Single Prognostic Parameter in Chronic Lymphocytic Leukemia: A Multivariate Survival Analysis of 329 Cases.” Blood 64 (3): 642–48. [CrossRef] [PubMed] [Google Scholar]
  17. Sehgal. Manav. 2017. Data Science Solutions: Laptop Startup to Cloud Scale Data Science Workflow. [Google Scholar]
  18. Singh, S. P., N. Ramachandran, N. Sharma, A. K. Goel, N. M. de Sousa, J. F. Beckers, D. K. Swain, M. K. Singh, and S. D. Kharche. 2019. “Relationship of Foetal Number and Parity in Barbari Goats to Plasma Profile of Caprine Pregnancy-Associated Glycoprotein (caPAG) during Gestation and the Early Postpartum Period.” Animal Reproduction Science. https://doi.org/10.1016/j.anireprosci.2019.106190. [Google Scholar]
  19. Soverini. Simona, Caterina de benedittis, manuela mancini, and Giovanni Martinelli. 2016. “Best Practices in Chronic Myeloid Leukemia Monitoring and Management.” The Oncologist 21 (5): 626–633. [CrossRef] [PubMed] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.