Insitro Machine Learning Biology Quiz

Answers and explanations appear as you take the quiz.

1. What does the name 'Insitro' combine?
   • 'In silico' (computation) and 'in vitro' (lab biology)
   • Insulin and nitro
   • Inside and outside
   • Insight and retro
2. Who founded Insitro?
   • Demis Hassabis
   • Daphne Koller
   • Andrew Ng
   • Jensen Huang
3. Why does Insitro emphasize human genetics in target selection?
   • It's cheaper than imaging
   • Genetics requires no data
   • Human genetics is among the strongest evidence that a target truly causes disease
   • It avoids using computers
4. What is a 'machine-learning phenotype' as Insitro uses it?
   • A robot's behavior
   • A type of software bug
   • A marketing label
   • A quantitative trait derived by AI from data like medical images
5. Which large human cohort is commonly used for biobank-scale genetic studies like Insitro's?
   • UK Biobank
   • Netflix dataset
   • ImageNet
   • Wikipedia
6. What disease area is a major focus for Insitro's partnership with Gilead?
   • Common cold
   • Liver disease such as NASH and fibrosis
   • Broken bones
   • Tooth decay
7. What does an in-vitro disease model refer to in Insitro's approach?
   • A computer simulation with no biological measurements
   • A population study that uses only insurance claims
   • A lab-grown cellular model, such as stem-cell-derived cells, used to study disease biology
   • An animal trial that replaces all cell experiments
8. How can Insitro combine an image-derived phenotype with human genetics?
   • Treat every associated locus as proof of a causal drug target
   • Replace genetic data with a microscope image of the whole population
   • Use a phenotype score as a clinical diagnosis without validation
   • Run genome-wide association analyses to identify loci associated with the measured phenotype