At Synthesa, we help healthcare innovators make evidence-based decisions with speed and precision. We specialize in AI-powered evidence synthesis for systematic reviews, meta-analyses, and health technology assessments. Our clients include pharmaceutical companies, medical device manufacturers, medcomms agencies, contract research organizations, and academic institutions around the world.
Combining deep domain expertise with cutting-edge artificial intelligence, we streamline the complex process of identifying, extracting, and synthesizing data from scientific literature. Our solutions are designed to meet the highest standards of scientific rigor while accelerating timelines and reducing costs.
Synthesa empowers your team with actionable, evidence-based insights - faster than ever before by fusing validated AI tools and human domain expertise.
Evidence you can trust. Speed you’ve never seen.
Synthesa was founded by a multidisciplinary team of researchers, data scientists, and healthcare consultants with a shared mission: to bring the power of artificial intelligence to evidence synthesis.
Our team combines 40+ years of experience in systematic reviews, clinical research, and regulatory science with deep expertise in natural language processing and machine learning. We understand the nuances of evidence generation in highly regulated environments - and we’ve built our tools to meet those exacting standards.
We’ve worked with top pharmaceutical companies, academic institutions, and global medtech leaders, always with a focus on scientific rigor, data transparency, and client collaboration.
What sets us apart is not just our technology, but the people behind it: curious minds, detail-oriented thinkers, and problem-solvers committed to transforming how evidence informs healthcare decisions.
Synthesa is guided by an exceptional Advisory Board composed of some of the world's most highly cited scientists and thought leaders in the healthcare and life sciences industries.
Our advisors bring decades of experience in clinical research, epidemiology, biostatistics, regulatory science, and evidence-based medicine. Their insights help ensure that our methodologies remain scientifically robust, clinically relevant, and aligned with the highest standards of academic and industry practice.
With their guidance, we’re not just building faster tools—we’re shaping the future of evidence generation in healthcare. Their strategic input supports our mission to deliver credible, high-quality insights that stand up to scrutiny from regulators, payers, and the broader scientific community.
These are the minds behind the science that drives our innovation.
MD, MPH, MBA, FACC, FAHA, FSCAI, FESC, MSCAI
(to be announced)
Globally recognized leader in cardiovascular medicine and clinical research, with over 2,000 publications
MD, MSc
Professor Giuseppe Biondi-Zoccai is a globally recognized leader in interventional cardiology, evidence-based medicine, and advanced meta-analytic methodologies. He serves as Associate Professor in Cardiology at Sapienza University of Rome, Latina, Italy, and leads the Cardiac Catheterization Laboratory at Santa Maria Goretti Ho
MD, MSc
Professor Giuseppe Biondi-Zoccai is a globally recognized leader in interventional cardiology, evidence-based medicine, and advanced meta-analytic methodologies. He serves as Associate Professor in Cardiology at Sapienza University of Rome, Latina, Italy, and leads the Cardiac Catheterization Laboratory at Santa Maria Goretti Hospital. He is also Editor-in-Chief of Minerva Cardiology and Angiology.
With over 1,100 MEDLINE-indexed publications and an h-index of 122, Professor Biondi-Zoccai is among the most prolific clinical researchers in the field. His expertise in systematic reviews, network meta-analyses, and research methodology has had a global impact on the way clinical evidence is generated, interpreted, and applied.
At Synthesa, his methodological rigor and clinical perspective help ensure our AI-powered evidence synthesis platform meets the highest standards of scientific and practical relevance.
PhD Machine Learning
Dr. Mouselinos is a leading researcher in artificial intelligence, specializing in large language models (LLMs), multimodal reasoning, and the intersection of vision and language.
He has contributed to the field through notable publications, including studies on geometric reasoning in LLMs and bias detection in code g
PhD Machine Learning
Dr. Mouselinos is a leading researcher in artificial intelligence, specializing in large language models (LLMs), multimodal reasoning, and the intersection of vision and language.
He has contributed to the field through notable publications, including studies on geometric reasoning in LLMs and bias detection in code generation. His research has been featured in prominent conferences such as EMNLP and ACL. Beyond academia, he has applied his expertise in industry roles, leading machine learning initiatives in sectors ranging from maritime technology to algorithmic trading, to text-to-video models.
At Synthesa, Dr. Mouselinos provides strategic guidance on integrating advanced AI methodologies into our evidence synthesis processes, ensuring that our tools remain at the forefront of innovation while upholding scientific rigor.
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