At Stark Pharma, we harness the power of Artificial Intelligence (AI) and Machine Learning (ML) to accelerate innovation, improve decision-making, and optimize clinical, regulatory, and operational workflows across the life sciences value chain. Our AI/ML solutions are designed with a focus on compliance, traceability, and domain relevance—ensuring real-world impact while meeting healthcare regulations.
We build ML models to identify patterns in clinical outcomes, market trends, and supply chain behavior. These models help forecast patient recruitment, product demand, adverse events, and operational bottlenecks.
Our NLP solutions automate the extraction and analysis of insights from unstructured data such as medical literature, patient feedback, safety narratives, and regulatory submissions.
We implement AI algorithms to detect adverse event signals earlier by analyzing real-time pharmacovigilance and product quality complaint data—enhancing product safety and regulatory compliance.
We develop AI models to assist in analyzing diagnostic images (X-rays, MRIs, pathology slides), enabling faster, more accurate interpretation for clinical research and diagnostics.
Stark Pharma uses machine learning to stratify patients, optimize trial protocols, and improve site selection. This reduces trial timelines and increases protocol adherence.
We apply large language models (LLMs) to streamline tasks like CSR drafting, safety report writing, and labeling documentation—reducing manual effort and review cycles.
Our data scientists and domain experts work together to develop models that are clinically relevant, explainable, and validated in GxP-compliant environments.
We ensure AI models comply with data privacy standards (HIPAA, GDPR) and are built with fairness, transparency, and bias mitigation in mind.
Our AI models are designed to integrate with your existing EDC, QMS, ERP, and analytics tools—enabling smooth adoption and measurable impact.
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hr@starkpharma.com
