Our Services

✅ Graph Neural Networks (GNNs) – Predict drug-target interactions, repurpose existing drugs, and optimize lead selection.

✅ Generative AI for Molecular Design – AI models, such as Variational Autoencoders (VAEs) and Transformer-based architectures, create and refine novel molecules with optimized efficacy and safety.

✅ Biomarker Discovery & Patient Stratification – AI integrates genomics, proteomics, and multi-omics data to identify disease-specific biomarkers.

✅ High-Throughput AI Screening (HTS) – AI-driven molecule ranking reduces early-stage failures and shortens lead identification timelines.

✅ AlphaFold & Protein-Ligand Modeling – AI-powered structure-based drug design enhances binding affinity predictions and structural biology insights.

Impact: 50% reduction in early-stage discovery time, fewer failed candidates, and greater precision in therapeutic targeting.

📑 Automating Clinical Trials with AI and Transforming Clinical Trials & Regulatory Compliance

Clinical trials are data-intensive and require precise regulatory compliance. AI-powered automation enables:

✅ Faster data processing – AI extracts insights from clinical protocols, past studies, and real-world evidence (RWE).

✅ Regulatory compliance monitoring – AI ensures adherence to evolving FDA, EMA, and PMDA guidelines.

✅ Automated patient onboarding & trial documentation – RPA eliminates manual errors and accelerates trial workflows.

✅ LLM-Driven Patient Matching – AI scans EHRs, ICD-10 codes, and prescription data to match eligible patients to trials 40% faster.

✅ Bayesian Adaptive Trials – AI dynamically modifies trial protocols based on real-time data, improving efficiency and reducing failure rates.

✅ Synthetic Control Arms – AI-powered real-world data (RWD) analysis minimizes placebo use, accelerating regulatory approvals.

✅ AI for Site Selection & Performance Optimization – Machine learning ranks sites based on historical trial performance to reduce site failures.

✅ Risk-Based Monitoring (RBM) & AI-Powered Compliance – AI predicts trial risks, detects anomalies, and optimizes study execution.

Impact: 30-50% reduction in operational costs, increased trial success rates, and faster FDA & EMA approvals.

✅ Retrieval-Augmented Generation (RAG) for Compliance – AI extracts insights from clinical trial protocols, past submissions, and evolving regulations (FDA, EMA, PMDA, HIPAA, GDPR, etc.).

✅ Robotic Process Automation (RPA) for Regulatory Documentation – Automates submission generation, adverse event reporting, and regulatory filings.

✅ Automated Audit Trails & Risk Alerts – AI monitors compliance deviations, ensuring inspection readiness and reducing regulatory bottlenecks.

✅ AI for Pharmacovigilance & Safety Monitoring – AI detects adverse event patterns, drug interactions, and safety signals from clinical reports and real-world data.

✅ Blockchain for Data Integrity & Security – Ensures tamper-proof clinical data and regulatory submissions.

Impact: 50% faster regulatory reporting, improved data accuracy, and reduced compliance-related trial delays.

✅ AI-Driven Budget Planning & Resource Allocation – ML models predict cost overruns, resource constraints, and trial inefficiencies.

✅ Automated Data Processing & Cleaning – Reduces errors, ensuring clean datasets for regulatory submissions.

✅ AI-Powered Market Intelligence – Machine learning models forecast drug pricing, supply chain risks, and commercial viability.

✅ AI-Driven Drug Repurposing – Identifies new indications for existing drugs, maximizing R&D investment.

✅ Quantum Computing & AI for Drug Simulations – Enhances molecular simulations to optimize formulation and dosing.

Impact: 30% reduction in overall R&D costs, faster market entry, and higher return on investment for pharmaceutical firms.

ScienOps offers plug-and-play AI solutions that can be seamlessly integrated into pharmaceutical and biotech workflows:

✅ AI for High-Throughput Screening (HTS) – AI-driven molecular screening & ranking for early-stage discovery.

✅ AI-Optimized Patient Recruitment – Predictive analytics to accelerate patient enrollment in trials.

✅ Regulatory AI Compliance Solutions – Automated reporting, risk alerts, and document intelligence for FDA & EMA compliance.

By leveraging ScienOps’ AI consulting and AI frameworks, biopharma companies can streamline drug development, reduce operational costs, and accelerate clinical success.