In-Silico Modeling Services
In silico modeling technologies are transforming drug development and manufacturing by enhancing efficiency, accuracy, to allow innovations.
Powered by artificial intelligence, machine learning, bioinformatics, molecular dynamics simulations, and systems biology, these tools help accelerate the development of new drugs, optimize their formulation, ensure quality in manufacturing, and streamline regulatory processes, all while potentially reducing costs and time to market.
OSDPredict™: Predictive modeling for smarter, API-sparing drug formulation
OSDPredict is a digital toolbox powered by AI/ML that helps biotech innovators solve formulation challenges before they become costly setbacks.
By combining multiple predictive models, including Thermo Fisher Scientific’s Quadrant 2™ platform, OSDPredict delivers data-driven foresight into solubility, permeability, bioavailability, FIH dosing, packaging, and scale-up planning.
Instead of trial-and-error, researchers can focus solely on what works, saving valuable API, compressing timelines, and reducing risks.
- AI and machine learning-enabled predictive modeling for solubility and bioavailability enhancement
- Accelerated stability modeling for shelf life and packaging determination
- Materials science, compaction simulation, and process modeling
- ADME-PK modeling to predict the effect of API physiochemical traits on its pharmacokinetics
Key applications of OSDPredict
- Formulation behavior prediction—anticipate solubility, permeability, and bioavailability issues before they derail programs
- First-in-human dose optimization—model FIH dosing with confidence and clarity
- Packaging selection—identify the right packaging strategy to ensure stability and compliance
- Regulatory data generation—support IND-enabling studies with predictive insight
- Scale-up planning—plan manufacturing transitions earlier with higher probability of success
What are the benefits of using OSDPredict?
- Save precious API—minimize experimental waste and conserve scarce molecules.
- Rapid advancement of early development—reach milestones faster with predictive foresight
- De-risk decision making—act with confidence, guided by AI-driven predictions
- Increase first-time success—reduce reformulation cycles and achieve IND readiness smoothly
Digital modeling powered by AI, machine learning, and other innovative technologies, are transforming every stage of drug development by enhancing efficiency and precision, minimizing risks, and accelerating progress.
In silico modeling services, solutions, and capabilities
- AI and machine-learning enabled predictive modeling for solubility and bioavailability enhancement
- Accelerated stability modeling for shelf life and packaging determination
- Materials science, compaction simulation, and process modeling
- ADME-PK modeling to predict the effect of API physicochemical properties and pharmacokinetics