Explore case studies, whitepapers, publications and insights from Excelra’s scientists and data experts, covering the data, AI and informatics behind faster drug discovery and development.
Featured this month
Introducing Patent ASAP in GOSTAR™ Small Molecules: Accelerating Access to Newly Curated Patent Data
Patent ASAP in GOSTAR™: newly curated patent compounds, SAR and activity data within two days of…
Case Study
From Naming Chaos to Standardized Data: Harmonizing CMC Analytical Test Records at Scale
In CMC analytical environments, naming inconsistency isn't just a data-quality nuisance — it directly undermines an…
Whitepaper
Bridging Bench to Bedside: An Integrated Model-Informed Strategy to Reduce ADC Attrition
Discover an integrated model-informed strategy that connects biology, chemistry, PK/PD, bioanalysis and clinical development to reduce…
Expanding GOSTAR™ Large Molecules: Scaling Antibody Patent Curation with AI and Scientific Expertise
GOSTAR™ Large Molecules adds 4,116 AI-curated antibody records from 425 patents and 288 targets, with 82%…
Introducing Patent ASAP in GOSTAR™ Small Molecules: Accelerating Access to Newly Curated Patent Data
Patent ASAP in GOSTAR™: newly curated patent compounds, SAR and activity data within two days of…
News
Excelra Named an OpenAI Select Partner
Excelra has been named an OpenAI Select Partner, strengthening its focus on frontier AI, scientific data,…
Webinar
Mechanism-Driven Drug Discovery: A Data-Integrated Framework
Access the complete recording to explore how integrated data and mechanism-driven approaches can support decision-making across…
Expanding GOSTAR™ Large Molecules: Scaling Antibody Patent Curation with AI and Scientific Expertise
GOSTAR™ Large Molecules adds 4,116 AI-curated antibody records from 425 patents and 288 targets, with 82%…
Beyond Go-Live: Why Implementation isn’t the same as Digital Maturity
Lab informatics digital maturity vs implementation: four questions that reveal where your ELN or LIMS programme…
Case Study
From Naming Chaos to Standardized Data: Harmonizing CMC Analytical Test Records at Scale
In CMC analytical environments, naming inconsistency isn't just a data-quality nuisance — it directly undermines an…
Skin Health: How AI, Precision Medicine, and Next-Generation Therapeutics Are Transforming Dermatology
AI precision medicine in dermatology: JAK inhibitors, GOSTAR™ SAR data and next-gen therapies for atopic dermatitis,…
Beyond the Silos: How AI-Driven Multi-Omics Orchestration is Redefining Target Discovery
AI multi-omics orchestration integrates spatial transcriptomics, scRNA-seq and knowledge graphs to speed up drug target discovery…
Beyond Go-Live: How the Right Partner turns lab digitalization into real scientific progress
Why lab digitalization fails after go-live, and how the right scientific informatics partner drives adoption, process…
From DNA to Decisions: Multi-Omics AI is Driving Personalized Therapy
Multi-omics AI integrates genomics, epigenetics, transcriptomics, proteomics and metabolomics to enable precision medicine and personalized therapy.
Case Study
Structuring Fragmented Chemistry Data into an AI-Ready Biodegradability Dataset
Biodegradability data is rarely usable straight out of the literature — it's fragmented across sources, inconsistently…
From Scientific Literature to Clinical Insights: Transforming Fragmented Evidence into Decision-Ready Data
A systematic literature review turns fragmented clinical evidence into traceable, decision-ready datasets, with data extraction, PRISMA…
