An Integrated Preclinical Platform for GBM Immunotherapy Development This white paper presents a strategic platform for leveraging patient-derived xenografts, humanized models, and predictive technologies to identify, optimize, and translate...
Beyond the Barrier: Precision Preclinical Strategies for Targeting Glioblastoma
This white paper explores how integrated preclinical platforms—including orthotopic PDX models, humanized systems, and AI-driven predictive analytics—can bridge the gap between preclinical research and clinical success in glioblastoma. Learn how...
CertisAI Predictive Oncology Intelligence™ for Early Drug Development
Explore potential applications of CertisAI across therapeutic modalities – from small molecules to antibody-drug conjugates (ADCs), monoclonal antibodies (mAbs), bispecific antibodies (BsAbs), and peptides – and demonstrate how this powerful...
The Naked Science Behind Going Nude: A Case for Superior PDX Models in Preclinical Cancer Research
For cancer researchers advancing ADCs, cell therapies, and other targeted therapies, translational relevance of preclinical models matters more than ever. By downloading this white paper, you’ll get a comprehensive guide to selecting the most...
Advancing Translational Oncology with 3D Cell Culture
Photo Credit: Data on File. Certis Oncology (2024). The conventional drug development pipeline has delivered incredible pharmaceutical successes and blockbusters. But, recently, appreciation for the growing number of failed drug candidates that...
Certis Oncology Solution's Self-Proclaimed Poster Boy: Jeffrey Alan Dinkin
It started with back pain.
RAS Mutations in Cancer: Emerging Drug Development Strategies
For four decades, the causal link between RAS mutations in cancer – including the KRAS, HRAS, and NRAS genes – has been well-accepted. But for almost as long, oncology drug development has struggled to develop RAS inhibitors, and many had long...
The Power of Predictive AI Models: Revolutionizing Cancer Research
Powerful computational tools, such as predictive artificial intelligence (AI) models, are reshaping preclinical research, leading to more optimized and streamlined drug discovery and drug development pipelines.1 In drug discovery, AI can be applied...
Functional Precision Oncology: Filling the Gap Left By Genomics-Based Approaches
Precision oncology (also known as personalized medicine in cancer treatment) is about matching an individual to the optimal therapy for their unique form of cancer. Many people associate personalized medicine with genetic testing. Genomic tumor...
How to Overcome the Translation Gap in Cancer Research
Custom Solutions, Better Translation The ultimate goal of drug development in oncology is to identify drug candidates that will successfully advance through the clinical trial pipeline to FDA approval, thus offering individuals with cancer the hope...