experts in clinical trial technology, design, and execution will come together in a moderated discussion to explore these different facets of the opportunities created by AI, both traditional and ...

Overhyped technologies (like decentralised clinical trial solutions) have often fallen short of expectations, leading to lower operational efficiency ... intelligence (AI) and machine learning ...

While Quantum computing has been reported to be five years away for many years now, companies are preparing for it by setting ...

efficient, and data-driven clinical development strategies. In June 2024, Lokavant launched Spectrum™, the first AI-driven clinical trial feasibility solution designed to optimize trial ...

After six months of collaboration, the partnership has shown significant improvements in patient identification, enrollment speed, and operational efficiency ... for AI Clinical Trial Enrollment ...

She also highlights the growing role of AI and automation ... it much more efficient. There are studies out there saying that 75% of all the data that is required in a clinical trial is already ...

Artificial Intelligence (AI ... AI in clinical trials; patient recruitment and retention, protocol optimisation, real-time data monitoring, predictive analytics as well as operational efficiency ...

Clinical research sites face an information challenge that hinders efficiency and collaboration ... number of data points and trial procedures complicate execution. For example, a recent Tufts ...

Research Grid’s algorithm tackled these bottlenecks by automating the data entry, including handwritten text, data, and images, showing that their proprietary AI can ... improve the efficiency and ...

Fujitsu Limited (THERS) today announced the successful completion of field trials using generative AI to process clinical data for use in the selection of clinical trial participants. The effort aims ...