Michele Danilo Pierri 
Introduction Haruki Murakami is one of the most significant contemporary Japanese novelists. While he never directly addresses medicine in his works, health-related themes frequently appear as metaphors. In his writing, the body and its lived experiences are consistently connected to trauma, memory, and the unconscious. These connections extend into fantastic, paranormal, and cosmological dimensions, transforming … Read more
The Death of the Grandmother: A Moment of Truth, Fragility, and Revelation Introduction In the third volume of “À la recherche du temps perdu”, Marcel Proust portrays the gradual illness and death of the narrator’s grandmother. This episode stands as one of the emotional, philosophical, and narrative pinnacles of the entire work. Through his meticulous … Read more
Introduction: Why Build a Medical Database with Docker? Creating a robust medical database system requires careful consideration of security, scalability, and maintainability. Furthermore, Docker containerization offers an ideal solution for healthcare applications by providing isolated environments that ensure consistent deployment across different systems. In this comprehensive tutorial, we’ll explore how to create a medical database … Read more
Introduction UNet is a convolutional neural network (CNN) introduced by Olaf Ronneberger in 2015. These specialized neural networks learn to recognize objects in images. When properly trained, they can analyze medical images, detect specific features (such as neoplasms in CT scans), and classify different types of images (such as distinguishing between pneumonia and neoplasms). In … Read more
Definition Sensitivity analysis is a collection of techniques that determine how input parameters affect model results. Specifically, it measures how much variation in the results stems from different types of uncertainty. For a model: $Y=f(X_1,X_2,X_3…..X_n)$ examines how Y changes when each X is modified. Sensitivity analysis can be applied across several key areas: predictive models, … Read more
Why do we need random number generation in statistics and data science? Data scientists and statisticians rely on random number generation for several important purposes. They can be used to create data samples, which serves as a foundation for advanced statistical techniques. This includes Bootstrapping methods that involve resampling from existing data to create new … Read more
A programming paradigm is the model or approach used to logically organize a program. It defines how different parts of a program interact and work together. A programming paradigm encompasses three key aspects: Paradigms Let’s explore the main types of programming paradigms Imperative Paradigm This paradigm involves giving the computer explicit, step-by-step instructions using variables, … Read more
The Artist Gabriel Metsu (1629-1667) was a Dutch painter. Born in Leiden, where he studied at the Guild of Saint Luke, he later moved to Amsterdam. His paintings depict everyday life scenes with meticulous attention to detail. The Artwork Multiple versions of “The Doctor’s Visit” are attributed to Metsu, with the most renowned one housed … Read more
This post illustrates techniques for visualizing statistical distributions using Python and its graphics libraries, particularly Matplotlib. The resulting charts are used in the statistical distributions lesson of the statistics course. Required Libraries Import Normal distribution Exponential distribution Bernoulli distribution Binomial distribution Poisson distribution Uniform distribution Chi square distribution t distribution vs normal distribution Sigmoid function
This highly acclaimed painting is not only a masterpiece of craftsmanship but also carries a powerful social message. It portrays the doctor as a deeply human figure, selflessly dedicated to caring for his young patient. The Artist Luke Fildes (1843–1927) was an English painter renowned for his portraiture. A prominent figure in Victorian art, he … Read more