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BiopharmaTrend report from April 2024
webCredibility Rating
3/5
Good(3)Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.
Rating inherited from publication venue: ResearchGate
Useful for understanding the practical track record of AI in high-stakes scientific domains; relevant to AI capabilities evaluation and deployment discussions, though only tangentially related to core AI safety topics.
Metadata
Importance: 42/100organizational reportanalysis
Summary
This BiopharmaTrend report (April 2024) provides an early empirical analysis of how drugs discovered using AI methods are performing in clinical trials, examining success rates and drawing lessons for the field. It represents one of the first systematic attempts to evaluate real-world outcomes of AI-driven drug discovery pipelines.
Key Points
- •Provides one of the first quantitative analyses of clinical trial success rates for AI-discovered drugs compared to traditional methods.
- •Examines the pipeline of AI-aided drug candidates progressing through Phase I, II, and III trials as of early 2024.
- •Draws early lessons about where AI adds value in drug discovery and where bottlenecks remain.
- •Highlights the gap between AI promise in preclinical stages and demonstrated outcomes in human trials.
- •Relevant to evaluating the real-world impact of tools like AlphaFold in applied biomedical research.
Cited by 1 page
| Page | Type | Quality |
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| Scientific Research Capabilities | Capability | 68.0 |
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(PDF) How successful are AI-discovered drugs in clinical trials? A first analysis and emerging lessons
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How successful are AI-discovered drugs in clinical trials? A first analysis and emerging lessons
April 2024
Drug Discovery Today 29(6):104009
DOI:10.1016/j.drudis.2024.104009
License
CC BY-NC-ND 4.0
Authors:
Madura KP Jayatunga
Madura KP Jayatunga
This person is not on ResearchGate, or hasn't claimed this research yet.
Margaret Ayers
Margaret Ayers
This person is not on ResearchGate, or hasn't claimed this research yet.
Lotte Bruens
Lotte Bruens
This person is not on ResearchGate, or hasn't claimed this research yet.
Dhruv Jayanth
Dhruv Jayanth
This person is not on ResearchGate, or hasn't claimed this research yet.
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Citations (107)
References (25)
Figures (1)
Figures
Number of molecules discovered by AI-first Biotechs that have entered clinical trials. The analysis includes molecules that were partnered with pharmaceutical companies and excludes COVID-19-related molecules. (a) AI-discovered molecules by clinical Phase. (b) AI-discovered molecules by mode-ofdiscovery.
…
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Feature
How successful are AI-discovered
drugs in clinical trials?
Afirst analysis and emerging lessons
Madura KP Jayatunga
1
, Margaret Ayers
1
, Lotte Bruens
2
, Dhruv Jayanth
3
, Christoph Meier
1,
⇑
1
Boston Consulting Group, 80 Charlotte Street, London W1T 4DF, UK
2
Boston Consulting Group, Gustav Mahlerlaan 40, 1082 MC Amsterdam, the Netherlands
3
Boston Consulting Group, 466 Springfield Ave, Summit, NJ 07901, USA
AI techniques are making inroads into the field of d
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