AI in drug discovery / Ed Addison.

Format:

Video

Author/Creator:

Addison, Ed, presenter.

Language:

English

Subjects (All):

Drug development--Data processing.

Drug development.

Clinical trials--Data processing.

Clinical trials.

Physical Description:

1 online resource

Place of Publication:

[Place of publication not identified]: Henry Stewart Talks Ltd, 2025.

Contents:

Generative AI in pharma

Small molecule design

Accelerating molecule screening

Optimizing molecular properties

Tailoring drug-like characteristics

Improving clinical trials

Predicting trial outcomes

Identifying high-potential candidates

Market and business strategy

Demand for AI-powered drug discovery

Competitive landscape

Commercialization opportunities

Potential challenges and risks

Pharmaceutical generative AI market

Technical overview of generative AI methods

Biomedical knowledge graphs and LLMs

Generating repurposed assets

Validating repurposed assets & targets

Extracting real-world data from EMRs

Integrating data

Generative adversarial networks for molecule design

Drug discovery and development

Trial design and enrollment

Trial analytics and drug safety

Cloud Pharmaceuticals.

Notes:

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