Prediction of Survival Analysis for Cancer Patients
Explore survival analysis prediction for cancer patients using machine learning techniques. Learn to harness computational methods for improved patient outcome forecasting and healthcare decision-making.
Emerging Interactions in Humans and Machines: From Social Physiology to Social Neuro-AI
Explore social cognition through multi-brain neuroscience and neuro-inspired AI, bridging intra-personal mechanisms and inter-personal dynamics to understand higher-level intelligence in humans and machines.
Physics-Assisted Multi-Robot Exploration
Explore cutting-edge techniques for multi-robot systems using physics-assisted approaches to enhance exploration and coordination in complex environments.
Statistical Methods for Medical Image Processing and Reconstruction
Explore statistical methods for medical image processing and reconstruction, from basic to advanced Bayesian approaches, across various imaging modalities.
A Guide to A/B Testing as a Data Scientist
Comprehensive guide to A/B testing for data scientists, covering experiment design, dataset creation, hypothesis testing, Bayesian methods, and result interpretation using practical examples and code.
Statistics in Cyber-Security - Dr Nick Heard, Imperial College London
Explore statistical approaches for cyber-security, from micro-level models to full network graph representations, to identify illegitimate network activity using enterprise data sources.
Statistical Inference I
Explore statistical inference fundamentals, including models, estimation, minimax risk, and Bayesian approaches, with UC Berkeley's Will Fithian.
Geometric and Topological Data Analysis of Enzyme Kinetics
Explore geometric and topological data analysis techniques applied to enzyme kinetics, focusing on ERK molecular dynamics and its implications for cancer and developmental defects.
The Promises and Pitfalls of Stochastic Gradient Langevin Dynamics - Eric Moulines
Explore Stochastic Gradient Langevin Dynamics: its potential and challenges in optimization, data processing, and machine learning. Gain insights from expert Eric Moulines on this powerful algorithm.
Automating Bone Age Assessment from Pediatric Xrays
Learn to automate bone age assessment from pediatric X-rays using machine learning techniques. Explore practical applications in healthcare for more efficient and accurate diagnoses.
Cancer Diagnostics - Opportunities and Challenges by Sudha Sundar
Explore opportunities and challenges in cancer diagnostics, focusing on innovative approaches and potential advancements in early detection and personalized treatment strategies.
Digital Twins Workshop: Foundations and Challenges - Day 1
Advancing digital twins research: Experts explore Bayesian inference, irregular posteriors, and geophysical applications in this foundational workshop for data-driven engineering.
Data-Driven Understanding of Human Disease: From Machine Learning Methods to Biological Discoveries
Data-driven disease understanding: machine learning methods for genomic analysis, integrating model organism data with human studies to uncover disease mechanisms and genetic architecture.
Use of Big Data Analytics in Healthcare Research by Rajiv Raman
Explore how big data analytics revolutionizes healthcare research, enhancing patient outcomes and driving medical advancements through innovative data-driven approaches.
Modeling Complex Phenotypes by Sayan Mukherjee
Explore advanced techniques for modeling complex phenotypes in health and disease, bridging machine learning with clinical applications to enhance data analysis and prediction in biomedicine.
Biomedical Text Mining II by Sudeshna Sarkar
Explore advanced techniques in biomedical text mining, focusing on extracting valuable insights from medical literature and clinical data to enhance healthcare research and decision-making.
Digital Health and AI in Healthcare at IIITD by Tavpritesh Sethi
Explore AI's transformative impact on healthcare, from predictive analytics to personalized medicine, and learn how digital technologies are revolutionizing patient care and health outcomes.
Biomedical Text Mining I by Sudeshna Sarkar
Explore techniques for extracting valuable insights from biomedical literature using text mining methods. Learn to process and analyze scientific texts for research and clinical applications.
The Tommy's Pathway - Providing Effective and Equitable Maternity Care by Basky Tilaganathan
Explore effective and equitable maternity care strategies through the Tommy's Pathway, focusing on improving outcomes and addressing disparities in maternal healthcare.
Bootstrapping the Right Way - Data Science Best Practices
Learn effective bootstrapping techniques for data analysis, including proper resampling, package selection, and considerations for parametric Bayesian approaches from a distinguished data scientist.
Big Data in Biology - How EMBL Delivers Big Data for Biology, and Some Highlights
Explore how EMBL manages and utilizes big data in biology, with insights on key developments and applications in genomics and bioinformatics.