在临床可行性中获胜：Citeline的人工智能解决方案如何改变游戏规则

Winning at Clinical Feasibility:How Citeline’s AI-poweredSolutions Change the Game AI is only as good as the data it’s built upon. Citeline’s trustworthy, carefullycurated data are the foundation for its customized AI platforms, which producedetailed, expert-driven responses to sponsors’ most pressing clinical issues. Use Case| Winning at Clinical Feasibility:How Citeline’s AI-powered Solutions Change the Game| Winning at Clinical Feasibility:How Citeline’s AI-powered Solutions Change the Game The Situation A sponsor is planning a Phase III clinical trial of a drug to treat renal cell carcinoma (RCC).Before its protocol is finalized, the sponsor needs to be able to: Benchmark trial feasibility Identify viable sites and investigators Predict recruitment success and investigator suitability Use Case| Winning at Clinical Feasibility:How Citeline’s AI-powered Solutions Change the Game| Winning at Clinical Feasibility:How Citeline’s AI-powered Solutions Change the Game Our Approach Benchmark Phase III RCC trials to establish patterns in which trialssucceeded and failed1 Thanks to Citeline’sTrialtrove+, the sponsor can benchmark its efforts and optimizetrial planning by assessing feasibility risk and likely outcomes before protocolfinalization. Trialtrove+pairs AI with Citeline’s wealth of historical trial data frommore than 60,000 trusted sources to provide visibility intoClinical Trial Trends. With the Trialtrove+Trial Health Calculator, the sponsor can measure trialrecruitment performance against industry expectations. In addition, the sponsorcan view study activity and screen failure metrics as well as gauge enrollmentperformance by country, therapeutic area (oncology), disease (renal), andpatient segment. With Trialtrove+, the sponsor can also conductTrial Activity Landscapeanalysisto derive fresh insights by disease, sponsors, drugs, patient segment, and country. Use Case| Winning at Clinical Feasibility:How Citeline’s AI-powered Solutions Change the Game| Winning at Clinical Feasibility:How Citeline’s AI-powered Solutions Change the Game Locate sites with the capacity and patients to fulfill enrollmentrequirements2 The sponsor sees a complete global view of site and investigator intelligence withCiteline’s AI-enabledSitetrove+, which syncs Sitetrove’s robust investigator datawith proprietary datasets — including performance data, claims data, journals,publications, payments, NIH grants, profiles/CVs, and more. In addition, the sponsor can use Sitetrove+to visualize site capacity, historicalperformance, and patient availability by region. The sponsor also can compare study sites by capacity, experience, and trialperformance using Citeline’s proprietarySite Compare Tool, unique to Sitetrove+.And the sponsor can benchmark enrollment rates by trial size. Once the study is underway, the sponsor can keep it on target by surfacingsite profile and investigator engagement trends and trial activity landscape byorganization in Sitetrove+. Use Case| Winning at Clinical Feasibility:How Citeline’s AI-powered Solutions Change the Game| Winning at Clinical Feasibility:How Citeline’s AI-powered Solutions Change the Game Identify the best-fit investigators for the sponsor’s trial3 By inputting key information about the trial in question — such as therapeutic area(oncology), disease (renal), and patient segment — inInvestigator SmartSelect,the sponsor can build a targeted list of potential trial investigators in just minutes.Powered by AI and Citeline’s deep data reservoirs, Investigator SmartSelectprovides recommendations for investigators with the experience, patient pools,and bandwidth to deliver the sponsor’s trial on time. Predict recruitment success and investigator suitability At the click of a button, the sponsor can use Investigator SmartSelect to generateoptimized recommendations for country, site, and investigator lists. InvestigatorSmartSelect employs a proprietary algorithm to sift through hundreds ofthousands of investigators across a global network of trial sites, alongsideproprietary performance data to generate a list of investigators matching thetrial’s specifications. Investigator SmartSelect offers better-aligned site selection, quicker start-up,and less risk, and enables the coordination of recruitment strategies with realpatient availability. By using Investigator SmartSelect, the sponsor is able to identify best-fitinvestigators with •Higher recommendation scores•More access to patients•More relevant experience Use Case| Winning at Clinical Feasibility:How Citeline’s AI-powered Solutions Change the Game| Winning at Clinical Feasibility:How Citeline’s AI-powered Solutions Change the Game Actionable Insights A clear picture of what to do(and not to do) for trial success A map of sites with a pattern ofsuccess in RCC and the capacityto take on a trial A detailed list of investigators withexperience, capacity, and patients toconduct successful trial enrollment … all produce