Research Services
AI-Powered Drug Discovery
Bringing AI and bioinformatics to the front-end of drug development: from target to candidate.
Drug Molecule Discovery
Overview:
- Virtual screening
- Generative design
- Toxicity pre-screening.
Key Features:
- Virtual screening (graph neural networks, large chemical libraries)
- Generative models (GANs/VAEs)
- Toxicity filtering (TEST/Protox3)
Benefits:
- Broaden chemical space
- Accelerate hit identification
- Reduce attrition
Drug Molecule Optimization
Overview:
- Refining molecules to leads ready for pre-clinical.
Key Features:
- Binding affinity optimization
- ADME prediction
- Molecular dynamics
Benefits:
- Advanced leads
- Improved chance of success
Target Identification & Validation
Overview:
- Disease-associated proteins, genetic/phenotypic data integration
- Technologies: AlphaFold/ColabFold, ProteinBERT, etc.
Key Features:
- Data analysis (genomics, proteomics, transcriptomics)
- NLP literature mining
- Predictive modeling (structure & function)
Benefits:
- Focus resources on validated targets
- Reduce risk
Clinical Research Solutions
Comprehensive, AI-enabled solutions for clinical trial design, execution, and delivery.
Clinical Trial Management System (CTMS)
Overview:
- End-to-end trial administration
- Site tracking
- Budget/contract management
- Workflow automation.
Key Features:
- Recruitment tracking
- Consent management
- Visit scheduling
- Data and document management
Benefits:
- Reduce administrative burdens
- Improve oversight
- Accelerate rollout
Electronic Data Capture (EDC) System
Overview:
- Digital platform replacing paper CRFs
- Integrates EHR, wearables, lab systems
Key Features:
- Real-time data validation
- Dashboards
- AI for outlier detection and cleaning
Benefits:
- Better data quality
- Faster database lock
- Compliance ready
Patient Recruitment System
Overview:
- AI-powered recruitment
- Participant-matching
- Inclusive cohorts
Key Features:
- Intelligent trial search
- Historical outcome analysis
- Synthetic data modelling
Benefits:
- Faster accrual
- More diverse representation
- Better retention
Predictive Analytics & Budget Optimization
Overview:
- Using real-world data & AI to forecast
- Recruitment
- Site performance
- Budget risk
Key Features:
- Site performance monitoring
- Resource allocation
- Dynamic forecasting
Benefits:
- Reduced cost overruns
- Improved trial ROI
Preclinical Research Solutions
Provides advanced Patient-Derived Xenograft (PDX) models, offering clinically relevant insights that bridge the gap between discovery and clinical success.
Cutting-Edge Facilities
Overview:
- State-of-the-art laboratories equipped for comprehensive preclinical analysis.
Key Features:
- Clinical pathology and histology
- Treatment history and response analysis
- Molecular and genomic characterization
Benefits:
- Accelerated decision-making with integrated data insights across multiple biological layers
Streamlined Project Management
Overview:
- End-to-end project management ensuring speed, transparency, and adaptability
Key Features:
- Efficient workflows
- Proactive communication
- Flexibility tailored to sponsor-specific objectives
Benefits:
- Reduced project timelines
- Improved data quality
- Seamless collaboration
Superior Patient-Derived Models
Overview:
- Our models are sourced from a global network of community-based oncology centers, ensuring diversity and real-world disease representation.
Key Features:
- PDX models retain the genetic, molecular, and histopathological characteristics of patient tumors—reflecting true cancer complexity and heterogeneity.
Benefits:
- Enhanced translational accuracy and predictive value for human responses