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Case Study: Realizing AWS Cost Savings Through Cloud Optimization and DevSecOps Automation
Nextonic Solutions helped a major federal health agency save $6 million across all AWS accounts by implementing a strategic cloud optimization and automation framework. Through right-sizing, automated DevSecOps shutdowns, reserved instance strategies, and real-time cost tracking, we cut monthly spend by 30%, all with zero downtime. These savings enabled reinvestment into mission-critical research and innovation.

Tim Mierzwa
Jul 172 min read


Case Study: Securing Digital Science - FedRAMP Moderate Authorization for a Cloud-Based Electronic Lab Notebook
Nextonic Solutions successfully led the FedRAMP Moderate authorization for a cloud-based Electronic Lab Notebook (ELN), enabling secure, compliant, and scalable collaboration for federal research programs. As part of the U.S. government's increased focus on cybersecurity and zero trust architecture, this project showcases how modern DevSecOps, AWS GovCloud deployment, and NIST 800-53 compliance can transform scientific platforms into secure digital research environments.

Tim Mierzwa
Jul 112 min read


Case Study: Building the ASPIRE Integrated Computational Platform for AI-Driven Chemical Research
Background The accelerating pace of biomedical research and the growing complexity of chemical synthesis have highlighted the need for...

Tim Mierzwa
Jul 52 min read


Case Study: A Standardized Pipeline to Evaluate the Real-World Effectiveness of COVID-19 Treatments
Nextonic Solutions developed a standardized, real-world data analytics pipeline to compare the effectiveness of 10 COVID-19 treatments. Our findings inform healthcare decisions and guide public health policy with evidence-based insights.

Tim Mierzwa
Jun 102 min read


Case Study: MicroJSON – Scalable Metadata Annotation for Microscopy Imaging
Nextonic developed MicroJSON, a scalable and GeoJSON-compatible data model that enables dynamic geometric annotation for microscopy imaging, transforming how scientists interact with large-scale metadata.

Tim Mierzwa
May 211 min read


Case Study: Bridging Biomedical Silos - Enabling Cross-Domain Discovery with the Translator Platform
The Biomedical Data Translator integrates clinical, genomic, chemical, and environmental data using semantic models and knowledge graphs. It enables AI-driven reasoning to uncover relationships between diseases, genes, drugs, and phenotypes. Supporting drug repurposing, rare disease discovery, and precision medicine, the Translator empowers researchers to generate insights from real-world biomedical datasets.

Tim Mierzwa
Apr 52 min read


Case Study: Global Clarity for Complex Substances - How GSRS is Powering Regulatory Science
Inconsistent substance definitions have long challenged global drug safety and regulation. The Global Substance Registration System (GSRS) solves this by providing a unified platform for registering and managing substances across agencies and countries. In this case study, learn how Nextonic Solutions supported GSRS implementation to improve traceability, support regulatory submissions, and enable international harmonization of pharmaceutical data.

Tim Mierzwa
Mar 112 min read


Case Study: Building a Custom Platform for Matrix Drug Combination Screening
Nextonic Solutions is transforming combination drug discovery with a custom software platform built for high-throughput matrix screening. Designed to automate workflows, calculate synergy scores, and visualize complex drug interactions, our solution empowers researchers to identify effective therapies faster and with greater precision.

Tim Mierzwa
Feb 42 min read


Case Study: Pioneering 3D Bioprinted Skin Models for Cancer Research
Nextonic Solutions is redefining cancer research through 3D bioprinting. Led by our CEO Kristy Derr, first author on a pioneering study in Tissue Engineering Part C, we’ve developed human-relevant skin tissue models that mimic real epidermal and dermal structure. These bioprinted constructs are accelerating therapeutic discovery for melanoma and squamous cell carcinoma by offering scalable, accurate, and ethically responsible alternatives to traditional models.

Tim Mierzwa
Dec 1, 20242 min read
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