Industries / Pharmaceuticals
Pharmaceuticals
Accelerating the journey from molecule to market with AI engineering
Overview
Drug development costs exceed $2.6 billion over 10-15 years, with failure rates above 90% in clinical trials. AI materially improves the odds and compresses the timeline.
NINtec's Pharma practice delivers AI engineering for drug discovery, clinical development, regulatory affairs, and pharmacovigilance.
Capabilities
Clinical trial optimization - patient matching AI, site selection, recruitment prediction
Molecular modeling - ML-assisted compound screening, QSAR models
Regulatory document AI - automated dossier preparation, FDA/EMA eCTD support
Pharmacovigilance - AI-powered adverse event detection, signal analysis
Real-world evidence (RWE) - NLP extraction from EHRs, claims data analytics
Supply chain integrity - serialization, cold chain IoT, counterfeit detection
Laboratory informatics - LIMS integration, analytical data pipelines
Biostatistics automation - statistical analysis plan execution
Technology Stack
Chemistry
RDKit, DeepChem, OpenBabel, custom QSAR models
Clinical
CDISC standards (CDASH, SDTM, ADaM), SAS, R, Python
NLP
BioBERT, BioClinicalBERT, spaCy for biomedical NLP
IoT
Cold chain sensors, AWS IoT, Azure IoT Hub