L5: AI in biotechnology Flashcards

1
Q

technologies alone can transform healthcare. T/F?

A

False

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2
Q

challenges of innovation [4]

A
  1. high cost
  2. long development time
  3. low success rate
  4. difficult to determine which drug and dose to use
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3
Q

between development and discovery, which stage takes up a longer time? state what is done during this stage.

A

discovery.

identify drug target, generate leads, optimise them

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3
Q

how can AI help in the discovery of new drugs?

A
  1. aid in drug discovery: target validation and lead optimisation
  2. drug development during pre-clinical and clinical: help find out the best combinations of drugs and doses [optimisation]
  3. N of 1: personalised therapy: optimise the duration of treatment and drugs according to patient
  4. digital medicine: combat cognitive decline by having programs for patients
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3
Q

what is N-of-1 Healthcare?

A

to use a patient’s own data to manage their own treatment

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3
Q

identifying synergy alone is enough for optimisation. t/f?

A

false. intra-patient drug synergism and antagonism is dose dependent

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3
Q

why do clinical trials fail so often?

A

drug synergy and antagonism needs to be re-optimised AT EACH STAGE OF DEVELOPMENT to de-risk drug development

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3
Q

how can we use AI to globally optimise drug development?

A
  1. finding the optimum combination of drugs from a massive drug-dose space
  2. drug interaction analysis: can find unforeseen interactions for evolving drug sets
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4
Q

differentiate between traditional and current small data AI-based optimisation

A

Traditional:
- based on pre-existing data
- FIXED dose
- find the best option out of n number of combinations

Small data:
- less data points [still have diff combinations]
- but have variation in dose –> find best combination out of n no. of assays representing 1 trillion++ possibilities
- use actual expt results, not pre-existing data

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5
Q

Perks/use of using Identif.AI

A
  1. find best permutation of drugs and dose
  2. ranks the combination–> know which combi to avoid
  3. dynamic analysis wrt to patient’s own progress and reaction to drug
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6
Q

how can AI make healthcare more efficient and affordable? [4]

A
  1. guide treatment choices -> personalise medicine for patients
  2. more efficient diagnosis [lesser time and cost]
  3. improve clinical trials optimisation and drug development
  4. empowering patient
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