BIOINFORMATICS ARTICLES
-
![Computational Biology-GettyImages-1855764562]( "AI, Digitalization, And In Vivo Programming Redefine Cell And Gene Therapy")
AI, Digitalization, And In Vivo Programming Redefine Cell And Gene TherapyBy merging precision genetic engineering with the scalability of nanomedicine and the predictive power of AI, scientists are reshaping the future of human health.
-
![group of growing arrows inside an airtight tank-GettyImages-1164079846]( "AI Drug Discovery Is Revealing The Preclinical Bottleneck")
AI Drug Discovery Is Revealing The Preclinical BottleneckFor the generative AI revolution in drug discovery to deliver on its promise, the industry needs more than better molecules, it needs a better pipeline architecture.
-
![French and european flags-GettyImages-1304257921]( "NAMs In France And Europe: The Current Landscape")
NAMs In France And Europe: The Current LandscapeThe EU is establishing a credible and scalable NAM ecosystem, but challenges still need to be overcome before life sciences professionals and patients can reap the benefits.
-
![question mark on flag-GettyImages-647112874]( "New Approach Methods In Practice: Where Are We Today?")
New Approach Methods In Practice: Where Are We Today?NAMs have moved beyond a technological promise, but now the current challenge is to operationalize their adoption.
-
![processor-GettyImages-1437433096]( "AI For NAM-Ready Drug Development: Turning Promise Into Trust")
AI For NAM-Ready Drug Development: Turning Promise Into TrustAI is naturally situated for NAMs, and its value will be maximized when it is deployed as part of a rigorously validated, evidence-based strategy.
-
![Microbes-GettyImages-1442048123]( "Charting The Future Of Antimicrobial Resistance")
Charting The Future Of Antimicrobial ResistanceWe caught up with Ajit Parhi, Ph.D., CSO of TAXIS Pharmaceuticals, to discuss policy, precision science, and AI in battling antimicrobial resistance.
BIOINFORMATICS VIDEOS
DEL technology is evolving from a screening tool into a rich data engine for AI. Learn how expanding datasets and computational methods are reshaping what researchers can uncover.
Discover how AI-powered modeling uncovers hidden patterns in DEL data, broadens chemical diversity, and accelerates decision-making to help teams prioritize compounds and move more efficiently.
Panelists debate whether NAMS can replace 10% of animal testing for regulatory submissions by 2030. Shashi asserts that big pharma is already reducing animal use, while Samantha cites the EU’s success in cosmetics and FDA’s roadmap for monoclonals. Zaher predicts over 50% replacement by 2030, citing OECD updates and liver injury data.
Zaher compares EU and U.S. progress, noting legislative and policy shifts driving NAMS integration. Samantha calls for open data platforms and consortiums to build confidence, while Zaher stresses benchmarking against human clinical data and government-led initiatives akin to the Human Genome Project.
BIOINFORMATICS APP NOTES, CASE STUDIES, & WHITE PAPERS
-
![GettyImages-2213157127-drug-formulation-discovery-pipette-liquid-vial]( "How One Biotech Company Is Accelerating The Drug Discovery Workflow")
See how biotech innovation is accelerating drug discovery through AI, miniaturized workflows, and collaborative technologies to reshape how therapies are developed and delivered.
-
![AI-artificial intelligence-GettyImages-1464561797]( "Leveraging AI And ML For Better Biologics")
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.
-
![Science techonlogy-research-development-discovery-GettyImages-1209662272]( "Revolutionizing Drug Discovery From \"Undruggables\" To AI")
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
-
![QIAcuity® Family]( "Digital PCR Analytics For Cell And Gene Therapy Workflows")
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.
