A Single End-to-End Platform for MAM
Genedata Imagence 3.0 Is Here! See What's New.
AI-powered High Content Screening Analytics with Genedata Imagence 3.0
Fueling Drug Discovery with AI-ready Data: Running Automated Assay Cascades in the Digital Lab
Flow Cytometry, Automated Analysis and Reporting
Automated Site-Specific Glycosylation Monitoring of Biopharmaceuticals
Streamlining the Analysis of Compound Combination Screens
Interpretation of Mechanistic Screening Data
Protein Engineering: Bi- and Multi-Specifics, TCRs, and CAR Ts
Merging Automation and Data Management Technology
Integrating Automated and Manual Cell Line Development Workflows
Digitalizing Biopharma: R&D Innovation through Operational Excellence
A Novel Data Processing Strategy for Detection of Low-Abundance HCPs
MAM Validation in Biopharma Process Characterization
Using AI for High-Content Phenotypic Characterization
What's New in Genedata Screener 17
Genedata Imagence: A Deep Learning-Based Enterprise Solution
What's New in Screener 16.0
Mosaic SampleBank and Genedata Screener
Genedata Screener for Thermal Shift Assays
Genedata Screener for SPR and BLI
Genedata Screener for Mechanistic Analysis
HT-Electrophysiology Cardiac Liability Assessment
Analyze Multiple APC Plates in One Session
HCS Data Analysis with Genedata Screener
HCS Analysis Workflow at Amgen
Analyze all bioassay data on one single platform
Addressing the Efficacy and Toxicity Challenges of Immuno-Oncology
Target Identification in Triple Negative Breast Cancers
Quality Monitoring of Biotherapeutics by Multi-attribute Methods (MAMs)
Improving the Diagnosis and Therapeutic Outcome of Ovarian Cancer Using Novel Liquid Biopsy Tests
Therapeutic Combinations for Cancer
Novel Methods for Deep Characterization of Biotherapeutics
Unbiased MS-based Characterization of a Stressed mAb
LC-MS Peptide Map Profiling
