Drug Discovery App CS WP

  1. Organ-On-A-Chip Technology Unlocks Patient-Derived Precision Medicine 6/25/2026

    Personalized medicine struggles with models that fail to reflect real human biology. Organ-on-a-Chip systems recreate tissue complexity, helping predict patient-specific treatment responses.

  2. How Isogenic Organ-Chips Are Transforming The Future Of Research 6/25/2026

    Modeling the human brain requires more than simplified systems. New approaches that incorporate diverse cell types are improving how researchers study neurovascular function with greater precision.

  3. Shining A Light On Dark Data 6/11/2026

    Centralizing data unlocks faster insights, reduces duplicated effort, and improves compliance. By overcoming silos and “dark data,” organizations can enable efficient search, reuse, and analysis.

  4. Filling Gaps In Drug Discovery Pipelines: From Candidate To Clinic 6/5/2026

    See how existing partnerships with NIH allowed the chance to bring together government, academic, and industry resources through strategic initiatives that streamline processes and maximize benefits.

  5. Mammalian Expression 5/28/2026

    See how a biotechnology company advanced an engineered protein therapeutic while navigating development, regulatory, and scalability challenges. 

  6. Integrated Stability Workflows That Reduce Manual Data Handling 5/28/2026

    Integrated accelerated stability workflows reduce manual data handling while improving confidence in shelf‑life predictions. Help your teams move faster with fewer experimental demands.

  7. Workflow For Chemical Characterization And Database Curation 5/28/2026

    Confident identification of known and unknown compounds starts with smarter LC/MS and GC/MS workflows. Learn how structure elucidation, verification, and centralized data curation work together.

  8. Improving pKa Prediction Accuracy For PROTACs 5/28/2026

    Gain insight into how localized modeling of ionizable centers, supported by curated experimental data, delivers reliable predictions that strengthen physicochemical decision-making.

  9. Property-Based Optimization Of Pharmaceutical Lead Compounds 5/28/2026

    Property-driven optimization helps medicinal chemists focus synthetic effort where it matters most. See how integrating ADME and physicochemical predictions can surface better-balanced lead candidates.

  10. Deepening Digitalization In Drug Discovery At PTC Therapeutics 5/28/2026

    Digital integration of physicochemical property prediction transforms how chemists evaluate compounds, enabling faster analysis, stronger structure, and more informed decisions across libraries.