Compare SiteCentric vs. Unlearn

SiteCentric is an integrated platform designed for clinical trial management, specifically created by research sites to address their unique needs, which combines various functions such as CRM, eISF, CTMS, financial management, and reporting into one cohesive system. This comprehensive solution streamlines and automates processes throughout the entire trial lifecycle, facilitating the nurturing of study leads and organization of pipeline activities with a specialized CRM. It also centralizes essential documents, including budgets, contracts, eReg, training records, and source documentation, to ensure a swift startup process. Additionally, it enhances enrollment efforts through targeted outreach strategies and by utilizing existing databases for more effective recruitment. The platform tracks patient visits meticulously while capturing high-quality eSource data, and conducts internal quality control checks along with maintaining version control and audit-ready eISF documentation. Furthermore, it oversees financial aspects such as budgets, invoicing, payment reconciliation, and patient reimbursements, while also providing leadership dashboards that reveal key performance metrics and trends in real-time, allowing research sites to make informed decisions quickly. Ultimately, SiteCentric empowers research sites by consolidating various functionalities into one efficient platform tailored to enhance clinical trial operations significantly.

Progressing artificial intelligence to remove the need for trial and error in healthcare, our digital twins facilitate swift and assured clinical trials. We focus on areas such as neuroscience, immunology, and metabolic diseases, among others. TwinRCTs expedite full enrollment by requiring fewer participants to provide equivalent statistical power compared to conventional trial methodologies. This approach significantly reduces the time needed for late-stage study enrollment. Additionally, TwinRCTs enhance the ability to detect treatment effects in early-stage studies by bolstering statistical power without necessitating an increase in participant numbers. They enable researchers to make informed decisions based on initial study outcomes and help attract more participants to trials. By utilizing smaller control groups, TwinRCTs also improve participants' odds of receiving the experimental treatment. Our commitment to positioning clinical trials with digital twins for regulatory success is unwavering. Unlearn is at the forefront of transforming the medical field through the innovative application of artificial intelligence, creating and implementing novel generative models that are trained on vast datasets derived from previous patient studies. This evolution in methodology not only streamlines research but also enhances the overall effectiveness of clinical trials.