Results for 'models'
Jakub P. Hlávka, PhD, Pei-Jung Lin, PhD, Peter J. Neumann, ScD
Outcome measures for oncology alternative payment models: practical considerations and recommendations
This paper focuses on synthesizing existing research on quality measures in oncology, particularly outcome-based quality measures which are underutilized. A set of "core outcome measures" is proposed for future oncology alternative payment models (APM). The study design includes a literature rev…
Dec 1st • 10 mins read
Kirill Peskov, Ivan Azarov, Lulu Chu, Veronika Voronova, Yuri Kosinsky, Gabriel Helmlinger
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
Hagop M. Kantarjian MD, Ferran Prat PhD, JD, David P. Steensma MD, Razelle Kurzrock MD, David J. Stewart MD, Mikkael A. Sekeres MD, Joseph Leveque MD
Cancer research in the United States: A critical review of current status and proposal for alternative models
cancer research, research, NCI, Drug industry-driven research model, development in research, 2018 cancer model
Early research focused on tissue histology and animal models, with surgery and radiotherapy as primary treatments. 1950s: Introduction of cell lines (e.g., HeLa cells) and first anticancer drugs (antifolates, thiopurines), leading to the establishment of the Cancer Chemotherapy National Service C…
May 14th • 10 mins read
Stefanie Broes, Robbe Saesen, Denis Lacombe, Isabelle Huys
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
Dean Bottino, Rachael Liu, Hojjat Bazzazi, Karthik Venkatakrishnan
Quantitative Translation in Immuno-Oncology Research and Development
Quantitative Translation, Immuno-Oncology, Research, Development, CIC
Exploring the therapeutic potential of the rapidly expanding field of immuno-oncology (IO) drug targets and diverse therapeutic modalities. Recognizing the need for principled decisions based on biologically sound quantitative translation in a competitive clinical research environment. High…
Jul 9th • 3 mins read
Nidal Al-Huniti, Yan Feng, Jingyu (Jerry) Yu, Zheng Lu, Mario Nagase, Diansong Zhou, Jennifer Sheng
Tumor Growth Dynamic Modeling in Oncology Drug Development and Regulatory Approval: Past, Present, and Future Opportunities
tumor growth, drug developement, drug approval, TGD, MIDD, PDUFA
Model-informed drug development (MIDD) has advanced rapidly in recent years, especially in oncology. The Prescription Drug User Fee Act (PDUFA) VI includes commitments to enhance MIDD. Tumor growth dynamic (TGD) modeling is a key MIDD approach used to accelerate drug development, support new dru…
Jun 26th • 18 mins read
Ashley Woolmore , Dirk Arnold , Jean‐Yves Blay , Christian Buske , Alfredo Carrato , Winald Gerritsen , Marc Peeters , Jesus Garcia‐Foncillas , David Kerr
The Oncology Data Network (ODN): Methodology, Challenges, and Achievements
The oncology data network, ODN
The Oncology Data Network (ODN) aims to create a collaborative infrastructure for precision medicine, established in over seven European countries with 124 cancer centers. The ODN collects concise data on cancer medicine use, adhering to EU GDPR regulations, and has a central European Data Wareho…
May 21st • 8 mins read
Jingjing Yu, Isabelle Ragueneau-Majlessi
In Vitro-to-In Vivo Extrapolation of Transporter Inhibition Data for Drugs Approved by the US Food and Drug Administration in 2018
In Vitro-to-In Vivo, Transporter Inhibition Data, Drug Approval, FDA, 2018
The analysis focuses on inhibition transporter data from New Drug Applications approved by the FDA in 2018, involving 42 drugs. Key points include: In vitro-to-in vivo predictions were available for nine recommended transporters. 29 parent drugs and 16 metabolites inhibited at least one transpor…
Jan 25th • 12 mins read
Envision Pharma Group
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