First name*
Last name*
Email*
Company name*
Job title*
Mobile phone number*
How many people do you manage?* Please Select0-1010-5050-100100+
What are the primary scientific challenges faced by your projects over the next 6–12 months?*
How much budget have you allocated to support your project over the next 6-12 months?* Please SelectUnder 100k100k - 500k500k - 1m1m - 5m5m +
Which of the following areas are you likely to invest in over the next 6-12 months?* End-to-end AI platforms integrating chemistry, biology, and ADME dataGenerative AI for de novo small-molecule designAI-driven multiparameter optimization (potency, safety, developability)Digital twins for compound and program risk predictionSecure, compliant data infrastructure enabling AI-ready discoveryHigh-throughput in vitro ADME screening (solubility, permeability, stability)Predictive in silico ADME and PK/PD modelingEarly safety and off-target liability screening (hERG, CYP, genotox)Metabolite identification and DDI risk assessment toolsTranslational PK and human dose-prediction platformsStructure-based drug design (cryo-EM, X-ray, AlphaFold-enabled)AI-assisted SAR analysis and potency optimizationSelectivity and off-target risk profiling platformsAutomated and parallel medicinal chemistry workflowsAllosteric and conformationally selective ligand optimizationUltra-large virtual and physical compound librariesAI-driven virtual screening and hit prioritizationHigh-throughput biochemical and phenotypic screening platformsFragment-based drug discovery (FBDD) technologiesCovalent and focused chemical libraries for difficult targetsAI-driven target identification and disease association analysisMulti-omics integration for target prioritizationCRISPR-based functional genomics and target validationHuman-relevant disease models (iPSC-derived cells, organoids)Target engagement and mechanism-of-action validation assays
Reasons for Investment?*
Would you be interested in moderating a roundtable discussion?* YesNo
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