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Knowledge Drop 2

Total questions: 15

Worksheet time: 9mins

Name
Class
Date
1.

A digital twin in cancer research is:

a)

A sports team

b)

A computer model of a real tumour

c)

A magic trick

d)

A microscope lens

2.

What kind of scan is commonly used to check for tumours?

a)

MRI

b)

Passport photo

c)

Music file

d)

Plant x-ray

3.

The most common method to see the size of a tumour is an (a)   scan.

4.

What does data science help doctors do with cancer?

a)

Play games

b)

Taste food

c)

Predict tumour growth

d)

Drive cars

5.

The hidden value showing how fast a tumour shrinks with treatment is called (a)   .

6.

The growth constant in tumour models is represented by the letter?

a)

x

b)

g

c)

t

d)

z

7.

What is measured regularly to monitor cancer?

a)

Shoe size

b)

Tumour size

c)

Car speed

d)

Leaf color

8.

(a)   learning lets hospitals improve models without sharing raw data.

9.

Which of these are types of data helpful in predicting tumour behaviour? (Select all that apply)

a)

MRI scan results

b)

Genomics data

c)

Weather reports

d)

Blood test results

10.

Modelling tumour growth with mathematics gives a (a)   -series of data points.

11.

Which can be benefits of using data science in cancer prediction? (Select all that apply)

a)

Early warning

b)

Personalized care

c)

Tastier food

d)

Better treatment plans

12.

Which are parameters used in tumour growth models? (Select all that apply)

a)

Growth constant

b)

Regression constant

c)

Diffusion constant

d)

Favorite color

13.

The rate a tumour invades new tissue is called (a)   .

14.

What is the main reason to use data science for cancer prediction?

a)

Make random guesses

b)

Predict, personalize, and improve care

c)

Grow plants faster

d)

Build taller buildings

15.

Which are possible challenges for doctors using these models? (Select all that apply)

a)

Measurement noise

b)

Limited data

c)

Free Wi-Fi

d)

Tumour heterogeneity