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1. When the company Opyl applied AI to consider the possible medical interventions in COVID-19 what were the outcomes they predicted outcomes to come true?
2. How is that important in public health policy?
Identify how predictive algorithms can improve clinical trial design and outcomes.
Describe how social media and publicly available data can promote clinical trial recruitment and explain the significance of enhanced recruitment.
(a) What is the major expense associated with clinical trials?
(b) What outcomes are proposed that the implementation of AI in Clinical Trials could achieve?
(c) How does social media fit in to the improvement of clinical trial success?
In the Deloitte Intelligent Drug Discovery article, Figure 1 refers to the History of Drug Discovery and the Year 2019; AI-enabled technology for de novo design of small-molecules (GENTRL) by Insilico Medicine delivered a lead compound against fibrosis in 46 days rather than years
The use of the approach GENTRL what class of drug was successfully targeted?
Article here: https://doi.org/10.1038/s41587-019-0224-x
From what you know of kinase inhibitors, what do you think would be a key part of the screening steps to make a successful drug?
A clue: https://www.nature.com/articles/s41587-019-0224-x/figures/8
Use this image to consider the areas where AI has disruptive potential in drug discovery and development. Do you know of any tools that are used for this?
taken from Patel, V., Shah, M. Intelligent Medicine, 2022, 2, 134-140
Define in your own words the terms artificial intelligence, machine learning, deep learning and natural language processing (page 8 of Intelligent drug discovery)
According to Dr Fran Brown why is MIDD so powerful?
Give examples of where MIDD is used during drug discovery and preclinical development.
Search online and record a definition for the following terms:
How did COVID-19 accelerate the use of MIDD?
List some examples where MIDD is used for regulatory purposes.