Our Services

At Synthesa, we are redefining evidence synthesis, accelerating the generation of

high-quality reports in days—not months. Our AI-driven approach enables rapid,

comprehensive, and transparent synthesis of scientific literature, empowering

medical teams with the insights they need to make informed decisions, communicate

complex data, and shape strategic initiatives.

Faster, more accurately and with unprecedented precision.

All of our services are led and supervised by experienced research professionals, who guarantee the accuracy of our deliverables.

Our systematic review and meta-analysis service is at the core of our consultancy. We specialize in conducting rigorous reviews of the literature to support your evidence-based research needs.

We conduct comprehensive, PRISMA-compliant systematic reviews and meta-analyses, leveraging AI to streamline literature screening, data extraction, and synthesis. Our process enhances efficiency while maintaining the highest standards of rigor. 

Comprehensive Literature Searches: Utilizing advanced search strategies to ensure no relevant study is overlooked.

Critical Appraisal: Assessing the quality of each study to ensure robustness and reliability of the evidence.

Data Extraction & Synthesis: Meticulously extracting data and synthesizing evidence to present clear conclusions.

Report Writing: Crafting detailed reports that clearly communicate the findings and their implications.

Designed to support decision-making in healthcare policy, clinical practice guidelines, and research priorities. 

We provide Network Meta-Analysis (NMA) as a cornerstone of our AI-powered evidence synthesis services, enabling clients to compare multiple interventions simultaneously and derive comprehensive insights beyond traditional pairwise comparisons. By using cutting-edge analytical techniques, our NMA solutions empower decision-makers with a hierarchical ranking of treatments based on efficacy, safety, and other critical outcomes.

Comprehensive Evidence Mapping: Identifying and structuring all relevant comparisons across a given therapeutic landscape to ensure a robust and interconnected evidence base.

Bayesian and Frequentist Approaches: Utilizing state-of-the-art statistical frameworks to generate reliable estimates and rank treatments with precision.

Assessment of Consistency and Transitivity: Ensuring methodological rigor by evaluating the assumptions underlying NMA, minimizing biases, and maximizing validity.

Actionable Insights for Decision-Making: Delivering clear, visually compelling results that translate complex analyses into meaningful, data-driven recommendations for healthcare professionals, policymakers, and industry leaders.

Provides clients with a powerful tool to navigate treatment landscapes with confidence, informing clinical guidelines, regulatory submissions, and strategic decision-making with unparalleled depth and clarity.

At Synthesa, we are proud to offer Meta-Regression Analysis as a key component of our AI-assisted evidence synthesis services, designed to meet the nuanced needs of healthcare and pharmaceutical industries. Meta-regression extends traditional meta-analysis by exploring the influence of study-level variables on outcomes, thereby uncovering patterns and sources of heterogeneity that inform clinical and policy decisions.

Advanced Statistical Modeling: Employing sophisticated statistical techniques to assess the impact of covariates on effect sizes across studies, providing deeper insights into factors influencing outcomes.

Critical Appraisal: Evaluating the quality and relevance of included studies to ensure the robustness and reliability of the meta-regression findings.

Customized Reporting: Delivering detailed reports that clearly communicate findings, implications, and recommendations tailored to your specific research questions and objectives.

Enables clients to gain a more nuanced understanding of complex data landscapes, ultimately supporting more informed decision-making in healthcare policy, clinical practice, and research prioritization.