What Happens To Your Body When You Drink Too Much Coffee
It’s almost impossible to overdose on coffee. The average American drinks 3 cups of coffee per day and there is a lethal dose of caffeine, but it’s somewhere around 10 grams. And the average cup of joe has around 100 milligrams. Following is a transcript of the video: Benji: This is me a
From playlist Best of Science Insider
Daytime wounds heal more quickly than those suffered at night
Study suggests that skin cells’ response to damage varies with their internal clock
From playlist Health and disease
Discovery and Development of Drugs | Health | Biology | FuseSchool
Discovery and Development of Drugs | Health | Biology | FuseSchool What is a drug? You can pause the video here and have a think, see if you know the names of any drugs. A drug is a substance that when released into the body will cause an effect. Drugs may be recreational, where people c
From playlist BIOLOGY: Health
Irrigation Efficiencies - Part 1
From playlist TEMP 1
What are Some of the Treatment Options for Breast Cancer?
MEDICAL ANIMATION TRANSCRIPT: Breast cancer is a disease where some of the cells in the breast begin to grow uncontrollably. Treatments for breast cancer can include surgery, radiation therapy, chemotherapy, hormone therapy, targeted therapy, and immunotherapy. There are several types of
From playlist Healthcare Patient Education Animations
Average Rate of Change Examples
In this video we see two examples of word problems involving the average rate of change. Remember the average rate of change formula: (f(b) - f(a))/(b-a)
From playlist Calculus
Around one in every 10 people will suffer from depression. Brain regions that control mood are often disrupted in depression. Antidepressant drugs or behavioral therapy can offer some relief. By understanding the brain better, our ability to treat depression should also get a boost. Watc
From playlist Health
Can Pills or Therapy Save You?
The advent of medication to treat mental illness from the 1950s onwards has had untold benefits, enabling countless numbers of us to manage the symptoms of our unwellness. Yet pills can never ‘cure’ us on their own: they must be married with therapeutic treatments to be lastingly effective
From playlist SELF
Can Psilocybin Treat Depression?
Research suggests psilocybin may have effects therapeutic for depression. In this episode, we discuss some of the neurological origins of the hallmark hallucinatory effects, how the research is conducted and what a clinical session looks like, and some of the qualities of the psychedelic e
From playlist Just Me
Average Treatment Effects: Introduction
Professor Stefan Wager presents an introduction to average treatment effects and randomized trials.
From playlist Machine Learning & Causal Inference: A Short Course
Conditional Average Treatment Effects: Overview
Professor Susan Athey presents an introduction to heterogeneous treatment effects and causal trees.
From playlist Machine Learning & Causal Inference: A Short Course
Robust Estimation of Treatment Heterogeneity
Professor Stefan Wager discusses general principles for the design of robust, machine learning-based algorithms for treatment heterogeneity in observational studies, as well as the application of these principles to design more robust causal forests (as implemented in GRF).
From playlist Machine Learning & Causal Inference: A Short Course
Conditional Average Treatment Effects: Forests
Professor Susan Athey discusses causal forests in conditional average treatment effects.
From playlist Machine Learning & Causal Inference: A Short Course
MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j This is the 2020 version of the lecture delivered via Zoom, d
From playlist MIT 6.S897 Machine Learning for Healthcare, Spring 2019
Average Treatment Effects: Confounding
Professor Stefan Wager on confounding and regression adjustments. Comparison of regression adjustments done via OLS versus generic machine learning.
From playlist Machine Learning & Causal Inference: A Short Course
HTE: Confounding-Robust Forests
Professor Stefan Wager discusses general principles for the design of robust, machine learning-based algorithms for treatment heterogeneity in observational studies, as well as the application of these principles to design more robust causal forests (as implemented in GRF).
From playlist Machine Learning & Causal Inference: A Short Course
HTE: Confounding-Robust Estimation
Professor Stefan Wager discusses general principles for the design of robust, machine learning-based algorithms for treatment heterogeneity in observational studies, as well as the application of these principles to design more robust causal forests (as implemented in GRF).
From playlist Machine Learning & Causal Inference: A Short Course
Average Treatment Effects: Double Robustness
Professor Stefan Wager talks about inference via double-robustness.
From playlist Machine Learning & Causal Inference: A Short Course
MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j Prof. Sontag discusses causal inference, examples of causal q
From playlist MIT 6.S897 Machine Learning for Healthcare, Spring 2019
Hypothesis Test Initial Example and Overview
Example of a hypothesis test and understanding its purpose
From playlist Unit 8: Hypothesis Tests & Confidence Intervals for Single Means & for Single Proportions