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Kuis Precision Medicine

Total questions: 25

Worksheet time: 38mins

Name
Class
Date
1.

Which -omic method is used to analyze metabolic results?

a)

Proteomic

b)

Genomic

c)

Metabolomic

d)

Transcriptomic

2.

Which is not a benefit of precision diagnosis in oncology?

a)

Cancer classification

b)

Cancer risk for family

c)

No need for MRI

d)

Can detect cancer earlier

3.

High expression of DNMT in some types of cancer can be detected by which method?

a)

Genomic

b)

Epigenomic

c)

Proteomic

d)

Transcriptomic

4.

Expression of genes can be detected by which methods?

a)

Genomic

b)

Epigenomic

c)

Proteomic

d)

Transcriptomic

5.

Tandem internal duplication on FLT3 can be examined using NGS as part of which?

a)

Genomic

b)

Epigenomic

c)

Proteomic

d)

Transcriptomic

6.

Examples of precision diagnosis utilization for risk monitoring:

a)

BCR-ABL1 + in chronic myeloid leukemia (CML)

b)

Post-remission therapy for AML patients under 60 with NPM1 mutation

c)

BRAF inhibitors and MEK inhibitors for patients with BRAF V600E mutation

d)

Mutations in BRCA1 and BRCA2 related to breast, ovarian, and prostate cancer

7.

Monogenic Diabetes Mellitus is caused by?

a)

Single gene mutation

b)

Group of gene mutations

c)

Autoimmunity

d)

Lifestyle

8.

Management of diet and lifestyle is only effective for which type of diabetes?

a)

MDM

b)

Type 1 DM

c)

Type 2 DM

d)

All types of diabetes

9.

Precision diagnosis in diabetes cannot be beneficial for which of the following?

a)

Subclassification of diabetes

b)

Determining the right therapy

c)

Predicting complications

d)

Chances of recovery

10.

Precision diagnosis in infectious diseases utilizes the following data:

a)

Pathogen genome

b)

Host genome

c)

A and B

d)

No correct answer

11.

Benefits of precision diagnosis in resistant TB:

a)

Analyzing sensitive antibiotic therapy

b)

Measuring host immunity levels

c)

Measuring host mutation levels

d)

Assessing TB complication risks

12.

The diagnostic field developed into precision diagnosis is:

a)

Clinical Chemistry

b)

Immunology

c)

Microbiology

d)

Molecular

13.

The results of precision diagnosis analysis are based on:

a)

The patient’s calorie intake

b)

The patient’s genetic data

c)

The therapy the patient is undergoing

d)

The patient’s age

14.

Benefits of precision diagnosis:

a)

Examinations can be done anywhere

b)

Low investment cost

c)

Does not require much data

d)

Reduces drug side effects

15.

Limitations of precision diagnosis:

a)

High Cost

b)

Responsive population

c)

Long analysis time

d)

Cannot be used for disease differentiation

16.
  1. Which technology is often utilized in precision diagnostics for infectious diseases?

a)

MRI scans

b)
  1. Genetic sequencing and PCR (Polymerase Chain Reaction)

c)

Ultrasound imaging

d)
  1. Traditional X-rays

17.
  1. How can precision diagnostics improve the treatment of infectious diseases?

a)
  1. By providing a one-size-fits-all treatment approach

b)
  1. By reducing the need for any medication

c)
  1. By tailoring antimicrobial therapy based on the genetic makeup of the pathogen

d)
  1. By relying on patient self-diagnosis

18.
  1. What role does precision diagnostics play in the prevention of chronic diseases?

a)

It has no role in prevention, only in treatment

b)

It helps identify individuals at high risk and enables early intervention

c)
  1. It replaces the need for lifestyle changes

d)

It focuses only on acute conditions

19.

What is a significant challenge in integrating AI and machine learning into precision diagnostics?

a)

Lack of interest from the medical community

b)
  1. Ensuring data privacy and security

c)
  1. The inability of AI to process large amounts of data

d)
  1. The high cost of traditional diagnostic methods

20.

How can AI and machine learning enhance precision diagnostics?

a)
  1. By replacing human doctors entirely

b)

By eliminating the need for any diagnostic tests

c)
  1. By standardizing treatments for all patients

d)

By analyzing large datasets to identify patterns and predict disease outcomes

21.

Which of the following is often considered the single greatest challenge in the diagnostic journey for a patient with a rare disease?

a)

The high cost of advanced genetic sequencing

b)

The lack of awareness and clinical expertise among non-specialist primary care physicians.

c)

Difficulty in obtaining informed consent for invasive diagnostic procedures.

d)

Limited availability of patient support groups for newly diagnosed individuals.

22.

Which of the following is part of Indonesia's strategy to accelerate gene therapy access and development for rare diseases?

a)

Restricting the use of CAR-T cell therapy

b)

Eliminating regulatory oversight for ATMPs

c)

Launching pilot programs for Ex Vivo and ASO therapies

d)

Banning technology transfer of AAV and LNP manufacturing

23.

What is the primary goal of targeted therapy in cancer treatment?

a)

To target specific molecules that drive cancer growth and minimize harm to healthy cells

b)

To replace chemotherapy with radiation therapy

c)

To enhance the growth of healthy cells alongside cancer cells

d)

To eliminate the need for immune system involvement in cancer treatment

24.

Which diagnostic tool is commonly used to identify specific genetic mutations for targeted cancer therapy?

a)

X-ray imaging

b)

Complete blood count (CBC)

c)

Electrocardiogram (ECG)

d)

Molecular profiling (e.g., next-generation sequencing)

25.

Which statement best describes the role of exposome analysis in medical diagnostics?

a)

It evaluates environmental exposures and lifestyle factors that influence disease risk and progression.

b)

It focuses solely on genetic mutations inherited from parents.

c)

It replaces imaging techniques like MRI and CT scans.

d)

It is only used for diagnosing infectious diseases.