In today's ACT Brief, we examine practical guidance for clinical operations teams beginning AI adoption, how hierarchical endpoints better reflect treatment benefit, and why early-stage program failures signal smarter pipeline management.
|Articles|September 29, 2015
Oracle Health Sciences Adds 93 Emerging Biopharma Customers
Advertisement
Oracle Health Sciences announced that 93 emerging biopharma organizations worldwide have become new customers in the past year. These include sponsors
- FMD K&L adopted Oracle Health Sciences InForm to help ensure data accuracy and efficiencies.
- Accera, a biotechnology company focused on conditions affecting the central nervous system, uses cloud-based Oracle Health Sciences ClearTrial Plan and Source Enterprise Edition Cloud Service to model scenarios for future trials.
- 4C Pharma Solutions and NewLink Genetics use Oracle Argus Safety for insight into product-safety issues, improved productivity, and streamlined safety reporting.
Read the
Advertisement
Related to this article
Hierarchical composite endpoints analyzed through pairwise comparisons more accurately reflect multifaceted treatment benefit than time-to-first-event composites, but transparent outcome prioritization, patient involvement in ranking, and reporting of Net Treatment Benefit remain underutilized despite their importance to interpretation.
In this video interview, Claire Riches, VP of clinical solutions at Citeline, offers practical guidance for clinical operations teams beginning their AI journey—making the case that the tools are more accessible than many assume and that waiting to start is a competitive risk in itself.
In today's ACT Brief, we examine how AI enables sponsors to pressure-test protocols before enrollment, HHS's multi-initiative effort to accelerate trial design and execution, and FDA approval expanding heart disease therapy to adolescents.
The new effort combines adaptive platform trial design, AI-enabled site activation, nationwide data infrastructure, and patient data contribution tools to reduce timelines, costs, and patient burden across clinical development.
In this video interview, Claire Riches, VP of clinical solutions at Citeline, explains how AI is shifting trial risk management from reactive to proactive—enabling sponsors to pressure-test protocols and anticipate pivots before a single patient is enrolled.
In today's ACT Brief, we examine AI's role as trial design advisor with human leadership, how to govern autonomous agents in regulated operations, and real-world outcomes from switching to oral weight-loss therapy.
AI agents in clinical operations acquire broader autonomous capability through expanded permissions, tools, memory, and delegated authority, requiring governance focused on whether effective capability has shifted outside approved boundaries rather than whether software has changed.
Advertisement
Advertisement
Trending on Applied Clinical Trials Online
1
The Control Plane for Agentic Clinical Operations: Governing Autonomous Digital Actors in Regulated Trials
2
Hierarchical Endpoints in Cardiology: How Much Treatment Benefit, and From Where
3
HHS Launches SURPASS Program and Three Complementary Initiatives to Transform Clinical Trial Design and Infrastructure
4
ACT Brief: AI Adoption Starting Points, Hierarchical Endpoints and Patient Priorities, and Early-Stage Program Termination
5