AI-Powered RoB Assessment: An Overview Risk of bias (RoB) assessment sits at the core of trustworthy systematic reviews. It determines how much confidence decision-makers can place in the studies that inform guidelines, policy, and clinical practice. For years, this work has relied on trained human reviewers applying structured tools such as the Cochrane RoB 2…
Overview A conversational AI literature review changes where the hardest translation in evidence synthesis happens: the move from a clinical question to a database query a reviewer must defend. Evidence teams in life sciences rarely fail for lack of information. They fail because the volume of information has outgrown the methods used to search it.…
Evidence generation increasingly depends on real-world data, but access delays, sparse populations, limited comparators, and privacy constraints can leave critical evidence questions unanswered. Synthetic data offers a way to reduce these barriers by creating statistically representative datasets that support faster analysis, testing, collaboration, and bias assessment. Its value, however, depends on rigorous validation, clear governance,…
AI in Real-World Evidence: Why the Evidence Base Moved Outside the Trial AI in Real-World Evidence (RWE) has moved from pilot project to operating requirement because regulators, payers, and medical affairs teams now ask questions that randomized controlled trials (RCTs) were never designed to answer. How does a therapy perform in patients over 75 with…
Overview Real-World Data (RWD) to Real-World Evidence (RWE) conversion stands at the center of modern life-sciences decision-making. Randomized controlled trials remain essential for establishing causality under controlled conditions, yet they leave gaps in understanding how treatments perform across diverse patients, care settings, and longer time horizons. RWD, drawn from electronic health records, claims, registries, wearables,…
Newest version of MadeAi™ hailed by judges as “an impressive application of governed AI to a complex and highly regulated life-sciences workflow” Cambridge, MA, August 19, 2026—MadeAi™, a purpose-built AI platform for evidence synthesis in regulated life sciences, announced that its updated platform was a winner of a Gold Stevie® Award in The 23rd Annual…
