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.
Cause and Effect - Understanding Causation in Scientific Research
Exploring causal inference methods in epidemiology and their impact on scientific understanding, challenging traditional views on correlation vs. causation in data analysis.
Graphs in the Modern World: Analyzing Infectious Disease Dynamics
Explore graph-based models for analyzing infectious diseases, from deterministic compartmental models to agent-based simulations in modern epidemiology.
Bayesian Inference of Dependent Population Dynamics in Coalescent Models
Explore Bayesian inference techniques for analyzing dependent population dynamics in coalescent models, focusing on applications in genomics and evolutionary biology.
On the Spread of an Infection in a Host Population Distributed on Z - Lecture
Explore mathematical models of infection spread in host populations distributed on Z, focusing on stochastic processes in evolutionary biology.
The Miracle of Tomography - Rothschild Lecture
Explore the diverse applications and mathematical techniques of tomography, from medical imaging to geophysics, with Professor Peter Kuchment's comprehensive overview of this fascinating field.
A Mathematical Toolkit for Pandemics
Explore mathematical tools for understanding and managing pandemics with Prof. Julia Gog. Gain insights into modeling, data analysis, and decision-making strategies for infectious disease outbreaks.
Historical Perspective: Science in Ancient India - Lecture 18
Explore empiricism, natural theology, and evolutionary concepts in ancient Indian scientific thought, gaining insights into historical perspectives on science.
Weaving Numbers: Killing Mosquitoes with Mathematics
Explore how mathematical modeling aids in combating mosquito-borne diseases and informs effective intervention strategies for global health impact.
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.
Modelling Phenotypic Delay in the Evolution of Bacterial Antibiotic Resistance
Explore bacterial antibiotic resistance evolution through phenotypic delay modeling, uncovering insights into this critical health challenge.
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.
Predictive Oncology Through Image-Based Mathematical Modeling
Explore image-based mathematical modeling for predictive oncology. Gain insights into cutting-edge techniques for cancer prognosis and treatment planning with Dr. Tom Yankeelov.
Lenia: A Continuous Model of Virtual Cell Growth Patterns
Explore virtual cell growth patterns through Lenia, a continuous model presented by Dr. Bert Chan in this Mathematical Oncology seminar.
Statistics 101 for Bedside Nurses - 2023
Learn essential statistical concepts for bedside nursing, enhancing your ability to interpret and apply data in clinical practice.
Bayesian Markov Switching Space-Time Model for Zika in Colombia
Explorez un modèle bayésien spatio-temporel à changement de régime markovien pour l'épidémie de Zika en Colombie, examinant les facteurs d'émergence, de transmission et de persistance de la maladie.