AI-Enabled Drug Discovery Market

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Question ^*

What is your primary concern regarding adopting AI in drug discovery?

1. Data security and privacy

2. Lack of interpretability (black box issue)

3. Integration with existing workflows

4. Cost of implementation

5. Regulatory hurdles

6. Lack of internal expertise

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Question ^*

How important is access to pre-trained AI models/databases versus custom model development for your research?

1. Extremely important (prefer pre-trained models)

2. Important (pre-trained models are beneficial)

3. Neutral

4. Important (custom model development is beneficial)

5. Extremely important (prefer custom model development)

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Question ^*

Which stage of drug discovery do you believe AI can have the MOST significant impact?

1. Target Identification & Validation

2. Hit Discovery

3. Lead Optimization

4. Preclinical Development

5. Clinical Trials

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Question ^*

What is your BIGGEST challenge in your current drug discovery process?

1. High failure rates

2. Long development timelines

3. Difficulty identifying novel targets

4. High costs

5. Lack of skilled personnel

6. Other (Please Specify)

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Question ^*

What type of AI capability is MOST critical for your research needs?

1. Predictive Modeling (e.g., ADMET prediction)

2. Generative Chemistry

3. Data Integration & Analysis

4. Image Analysis (e.g., HCS, Microscopy)

5. Natural Language Processing (NLP)

6. Other (Please Specify)

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