Medical Directive and Iowa Physician Orders for Scope of Treatment - I-POST
Explore medical directives and I-POST, focusing on end-of-life care decisions, patient autonomy, and healthcare provider responsibilities in Iowa's medical landscape.
Censoring Cancer: From Personal Battle to Empowering Communities
Inspiring journey of resilience: cancer survivor turned social activist and entrepreneur shares her story of overcoming adversity and empowering rural women through transformative entrepreneurship.
Computational Cancer Biology: An Expedition Towards Precision Oncology
Explore computational approaches in cancer research, from mathematical modeling to machine learning, aimed at understanding disease progression and developing precision treatments.
Applications of Topology to Oncology Data
Exploring Persistent Homology in oncology: predicting leukaemia relapse risk and analyzing tumor microenvironments using topological data analysis and machine learning techniques.
AWSOM24 Conference - AI and Machine Learning in Single Cell Genomics
Explore cutting-edge single-cell genomics research with expert talks on bioinformatics, experimental applications, and translational studies in this comprehensive workshop from leading institutions.
The Bioinformatics of Neoantigen Discovery and Vaccine Design
Explore neoantigen identification and vaccine design through bioinformatics. Learn about REAL-neo analytic framework and novel modules for tumor sequencing data analysis in immunotherapy research.
Mapping Communication Dynamics Between Physically Interacting Cells Using Hybrid Quantitative Proteomics
Explore cutting-edge proteomics techniques for mapping cell-to-cell communication in cancer immunology, focusing on immune checkpoints and their potential in immunotherapy.
Teaching Contemporary Math - Modeling Cancer Treatment
Explore innovative approaches to teaching math through real-world applications in cancer treatment, data modeling, and error analysis with Helen Moore.
Turning Cancer Discoveries into Effective Treatments with Mathematical Modeling
Explore how mathematical modeling aids in transforming cancer research into effective treatments, bridging the gap between scientific discoveries and clinical applications.
Understanding Tumour Responses to Radiotherapy Using Mathematical Models - Lecture 2
Explores mathematical modeling of tumor responses to radiotherapy, focusing on theoretical approaches to understand and predict treatment outcomes in cancer progression.
Comparing Combination Therapies with Oncolytic Viruses in a Simple Mathematical Framework
Explore mathematical models for comparing combination cancer therapies using oncolytic viruses, examining their effectiveness and potential outcomes in treatment strategies.
Nondimensionalization and Biochemical Reaction Networks in Mathematical Oncology
Explore nondimensionalization and biochemical reaction networks in mathematical oncology, enhancing your understanding of complex biological systems and their analysis.
The Hallmarks of Cancer - A Mathematical Perspective
Explore mathematical perspectives on cancer hallmarks, including proliferation, growth suppression, cell death, and metastasis, through differential equations and modeling techniques.
Numerical Analysis for Cervical Cancer Using Stochastic Levenberg-Marquardt Backpropagated Technique
Explore advanced neural network techniques for cervical cancer analysis, focusing on the Stochastic Levenberg-Marquardt Backpropagated method and its applications in oncology research.
Mathematical Modelling of MGMT Dynamics in Glioblastoma - Influence of Methylation Status and Phenotypic Selection in Cell Death Resistance
Explore MGMT dynamics in glioblastoma through mathematical modeling, examining methylation status and phenotypic selection in cell death resistance.
Mathematical Modelling of Microtube-Driven Regrowth of Glioma After Local Resection
Explore mathematical modeling of glioma regrowth post-resection, focusing on microtube-driven mechanisms and their impact on tumor recurrence and treatment strategies.
Mathematical Modelling of Clonal Dynamics of Acute Myeloid Leukemia: Model-Based Approach to Understand Within-Tumour Heterogeneity
Explore mathematical models of acute myeloid leukemia's clonal dynamics to understand tumor heterogeneity using a model-based approach.
Mathematical Models and Tools for Personalized Medicine
Explore mathematical models for personalized medicine, focusing on glioblastoma and immunotherapy. Learn how these tools aid in optimizing individual cancer treatments and predicting tumor evolution.
Quantitative Modeling of Metastasis: Cancer at the Organism Scale
Explore mathematical models for metastasis development, including spontaneous spread, tumor interactions, and therapy effects. Gain insights into predictive tools for personalized oncology.
Microtubules as a Key Target in Oncology: Mathematical Modeling of Anti-MT Agents on Cell Migration
Explore mathematical modeling of microtubule-targeted agents in cancer cell migration. Gain insights into anti-migratory effects and potential therapeutic applications through fluid-based simulations.
Cachexia - Muscle Loss from Cancer and Chemotherapy
Explore muscle loss from cancer and chemotherapy, understanding cachexia's impact and potential interventions in this concise oncology lecture.