Why Open-Source Models Matter for Computational Drug Discovery Free Live Event

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"Why Open-Source Models Matter for Computational Drug Discovery"

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Summary

What would you like to learn?

Which area of drug discovery best reflects where your organization is currently applying or actively exploring AI/ML? (select all that apply)

	Target identification or biological insight	Protein structure prediction/structural modeling
	Molecular design, optimization, or AI-guided exp.	ADMET, toxicity, or translational risk prediction
	Evaluating AI broadly, but not yet applied

What has been the biggest challenge to broader adoption of AI/ML in your organization (select all that apply)

	Data quality, access, or integration	Model interpretability or confidence in outputs
	Integration with existing workflows and lab infra	Skills gaps or internal alignment
	Regulatory or compliance uncertainty

What best describes your organization’s expected timeline for adopting or expanding AI/ML models within drug discovery workflows? (select all that apply)

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