Results for 'complex clinical trial'
Virtual Clinical Trials in Oncology-Overview, Challenges, Policy Considerations, and Future Directions
Virtual, Clinical trials, policy, analytics, telemedicine
The COVID-19 pandemic has significantly impacted clinical research, particularly in oncology, by accelerating the adoption of virtual clinical trials. These trials can address challenges such as high costs and participant burdens associated with traditional trials. Virtual Clinical Trials: Utiliz…
Apr 8th • 4 mins read
Seven decades of chemotherapy clinical trials: a pan-cancer social network analysis
Cancer Medical research, Randomized controlled trials, Clinical trial design
Clinical trials are crucial in establishing cancer care standards, but the social dynamics among researchers in this field have not been extensively studied. A social network analysis of authors involved in chemotherapy-based prospective trials from 1946 to 2018 reveals significant insights. The …
Oct 16th • 12 mins read
Past, Current, and Future Cancer Clinical Research Collaborations: The Case of the European Organisation for Research and Treatment of Cancer
European organisation for Research and Treatment of Cancer, EORTC, clinical research
Collaborations between academic institutions and industry have led to significant scientific breakthroughs in pharmaceutical research, particularly in the discovery phase. The role of multi-stakeholder partnerships in the clinical development of anticancer medicines requires further clarification…
Aug 16th • 8 mins read
The Evidence REVEAL Study: Exploring the Use of Real-World Evidence and Complex Clinical Trial Design by the European Pharmaceutical Industry
real world evidence, CCT, complex clinical trial
The European Medicines Agency (EMA) should develop an RWE framework for premarketing authorization in Europe. EMA and the European Medicines Regulatory Network (EMRN) could lead the development of RWE standards in the EU and beyond. Joint demonstration projects by the European Commission and ind…
Nov 20th • 10 mins read
AI-powered real-world evidence: Strategically enhancing value and access
Oncology, Clinical Development, Targeted Therapy, Immunotherapy, Genomic Profiling, CAR-T Cell Therapy, Precision Medicine
Real-world evidence (RWE) complements traditional randomized controlled trials by providing insights from diverse data sources, helping healthcare decision-makers with coverage, reimbursement, and treatment guidelines. Artificial intelligence (AI) and natural language processing (NLP) are pivotal…
Aug 22nd • 5 mins read
Mechanistic Quantitative Pharmacology Strategies for the Early Clinical Development of Bispecific Antibodies in Oncology
bispecific antibodies, mechanistic quantitative, pharmacology, strategies, bsAbs, immune cells, MABEL aproach
Bi-specific antibodies (bsAbs) are crucial in cancer therapy research. BsAbs offer advantages such as enhanced efficacy and reduced systemic toxicity. Early clinical trials face challenges with dose selection and predicting effective doses. Clinical variability is influenced by factors like fun…
Jun 24th • 18 mins read
MSL Evolution: New Trends and Titles That May Emerge
digital marketing strategies, SEO best practices, content marketing tips, social media optimization, keyword research tools
The COVID-19 pandemic has clearly had a profound impact on Field Medical Affairs. Has the Medical Science Liaison role changed forever? What new titles, trends and opportunities might emerge as a result of the new age for Field Medical and the evolution of the Medical Science Liaison? Is virtual en…
Apr 5th • 1 min read
Confounding factors in exposure–response analyses and mitigation strategies for monoclonal antibodies in oncology
monoclonal antibodies, E-R analyses, tumour growth inhibition, drug development
Dose selection and optimization is crucial in drug development to maximize benefits for all patients. Exposure–response (E-R) analysis is useful for dose-selection strategy, but in oncology, prognostic factors can confound the analysis, especially for monoclonal antibodies. The review addr…
Nov 20th • 12 mins read
Quantitative Mechanistic Modeling in Support of Pharmacological Therapeutics Development in Immuno-Oncology
immuno-oncology, mechanistic models, tumor vs. immune system, systems pharmacology, pharmacokinetics, pharmacodynamics, molecular and cellular biomarkers
There has been significant growth in the development of immuno-modulating pharmacological treatments for various cancers following the approval of the first immune checkpoint inhibitor. Challenges in immuno-oncology (IO) drug development are complex and span from the discovery phase to late-…
Apr 30th • 12 mins read