◆ Data-Informed Feasibility and Investigator Selection
基於數據的可行性和研究人員選擇

◆ Tech and Collaboration to Streamline Start-Up and Reduce Operational Burden
透過技術與協作可簡化研究啟動並減輕營運負擔

◆ Enrollment Planning and Patient Recruitment
報名計畫/招募受驗者

◆ Patient Engagement and Retention through Communities and Technology
透過社群和技術提高患者參與度和保留率

◆ (NEW) Collaborative Strategies to Improve Trial Execution
(NEW) 透過聯合策略改善實驗的進行

◆ Tech and Collaboration to Streamline Start-Up and Reduce Operational Burden
透過技術與協作可簡化研究啟動並減輕營運負擔

◆ Clinical Trial Forecasting, Budgeting and Contracting
臨床試驗預測、預算和簽約

◆ Resource Management and Capacity Planning for Clinical Trials
臨床試驗資源管理與能力規劃

◆ Mastering an Outsourcing Strategy
掌握外包策略

◆ Relationship and Alliance Management in Outsourced Clinical Trials
臨床試驗外包中的關係與合作夥伴管理

◆ Partner Selection and Trial Design
合作夥伴選擇和實驗設計

◆ Vendor Oversight & Resource Management
供應商監督和資源管理

◆ Clinical Data Strategy and Analytics
臨床數據策略與分析

◆ Data Science, ML, and AI
數據科學、機器學習和人工智慧

◆ Decentralized and Hybrid Trials
分散和混合試驗

◆ DCTs and Clinical Innovation
DCT 和臨床創新

◆ Digital Biomarkers and Endpoints in Clinical Trials
臨床試驗中的數位生物標記和終點

◆ Digital Measurements Implementation at Scale
實現大規模數位測量

◆ Accessing and Generating RWD
存取並生成 RWD

◆ Leveraging RWD for Clinical Research
RWD在臨床研究的應用

◆ (NEW) Generative AI in Clinical Research
(NEW) 臨床研究上的生成式人工智慧

◆ (NEW) AI for Trial Optimization
(NEW) 用於試驗最佳化的AI

◆ Risk-Based Quality Management
基於風險的品質管理

◆ Central and Remote Monitoring
中央/遠端監控

◆ Modernizing Lab, Biomarker & Data Management Operations
實驗室、生物標記和數據管理營運現代化

◆ Biomarker & Biospecimen Technology & Innovation
生物標記和生物樣本技術與創新

◆ Data Technology for End-to-End Clinical Supply Management
端到端臨床供應管理的資料技術

◆ Clinical Supply Chain Strategies to Align Process, Products and Patients
協調流程、產品和病患的臨床供應鏈策略

◆ Clinical Trial Venture, Innovation & Partnering *
臨床試驗的風險投資、創新和合作夥伴關係 *
*需要單獨報名