BIOINFORMATICS ARTICLES
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Annual Reflections And Predictions From The Editors' Roundtable
Understanding the full scope of the life science industry has never been more critical. Ray Dogum, Chief Editor of Drug Discovery Online, joins the Life Science Connect Editors’ Roundtable on a special episode of Better Biopharma podcast.
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2025's Top 5 Drug Discovery Highlights And How To Stay Ahead In 2026
Drug Discovery Online's 2025 Top 5 most consequential shifts affecting this rapidly evolving field, including NAMs, AI, Individualized Therapies, Innovating China, and Early-stage Funding Volatility.
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From Funding Gaps to AI Frontiers: Insights from the Boston Globe Summit 2025
Insights from the Boston Globe Summit 2025 exploring biotech funding challenges, AI-driven drug discovery, and genome editing breakthroughs shaping the future of research and care.
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Live Insights: 45% Believe The NAMs Industry Should Expand Pre-Competitive Data Sharing Programs
According to a recent poll, 45% of participants believe the NAMs industry should expand pre-competitive consortia by sharing validation data and best practices to reduce duplication and accelerate acceptance. Experts Zahar Nahle, Ph.D. and Samantha Atkins, Ph.D. share their insights.
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Progressing Precision Medicine Discovery With AI
We caught up with Iya Khalil, Ph.D., vice president and head of data, AI, and genome sciences at Merck & Co. to discuss Merck's creation of a foundation model that will help progress precision medicine.
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OpenFold3 Released: Redefining The Limits Of Protein Prediction Models
OpenFold3, a biomolecular structure prediction model based on AlphaFold3 was recently released by the OpenFold Consortium, a non-profit AI R&D organization.
BIOINFORMATICS APP NOTES, CASE STUDIES, & WHITE PAPERS
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See how biotech innovation is accelerating drug discovery through AI, miniaturized workflows, and collaborative technologies to reshape how therapies are developed and delivered.
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Review advanced retrosynthetic analysis services and how these tools empower better, more efficient development of innovative small molecule drugs.
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For many bioprocessing applications, both artificial intelligence (AI) and machine learning (ML) can be used in every phase of development to support optimization and streamline repetitive, effort-intensive processes.
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Explore four current trends in drug discovery, how each trend addresses some of the most crucial challenges in drug discovery, and the obstacles to their widespread adoption.
BIOINFORMATICS SOLUTIONS
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Gain precise quantification for CGT workflows with a simple, automated digital PCR approach that improves sensitivity, minimizes hands‑on time, and supports evolving demands from discovery through QC.
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Lonza's Route Scouting Service empowers biotech partners to overcome the complexities of API development and bring life-changing medicines to market faster.