Laboratory Informatics Weekly Update – Volume 24, Issue 35

August 31, 2026
Laboratory Informatics Weekly Update

Volume 24, Issue 35

In This Issue

Featured Books

Comprehensive Guide to Developing and Implementing a Cybersecurity Plan

Uncover the ultimate roadmap to safeguard your lab’s valuable data from sophisticated cyber threats. Harnessing the power of a well-configured Laboratory Information Management System (LIMS), this guide details top-notch cybersecurity measures like access control, encryption, audit trails, and vulnerability management to ensure data integrity and regulatory compliance.

…

5 Signs Your Lab May Need a LIMS Sooner Than You Think

Spreadsheets, emails, repeated data entry, and manual approvals may work for a while, but they often become barriers as laboratory operations grow. If your team spends too much time tracking status, searching for information, or managing disconnected processes, it may be time for a different approach.[Read More]

How Long Does a LIMS Upgrade Take?

LIMS upgrades can take anywhere from 1–18+ months, depending on scope, resources, and lab-specific requirements. This blog explores the key factors that drive delays and practical strategies to accelerate execution, including data cleaning, out-of-the-box functionality, dedicated backfill staff, and risk-based Computer Software Assurance (CSA).[Read More]

From Compliance to Competitive Advantage: How Regulatory Affairs Can Operationalize the EMA/FDA AI Principles

The FDA and EMA’s 2026 Good AI Practice principles establish a framework for responsible AI use across the drug product life cycle. Regulatory Affairs is uniquely positioned to lead AI governance while ensuring GxP compliance, data integrity, and regulatory confidence. The challenge: accelerating AI adoption while meeting evolving compliance standards.[Read More]

Key Takeaways from PHUSE: Building and Validating a Trustworthy RWD Analytics Platform

Our team attended the July 29, 2026 PHUSE webinar, “Building a Trustworthy RWD Analytic Platform,” presented by SAS. The session highlighted modern RWD/RWE architecture considerations. Below is our perspective on the webinar’s key themes and how Kalleid supports validation of RWD analytics environments, with a focus on reproducible, compliant, transparent, and audit-ready outputs.[Read More]

Data Science and Cybersecurity in the Modern Lab: Protecting R&D Pipelines in a Digitized Era

Modern drug discovery relies on vast amounts of proprietary data, making R&D environments prime targets for cyber threats. Protecting genomics, screening, clinical, and AI-driven systems requires more than traditional defenses. Domain-aware cybersecurity is essential for safeguarding IP, data integrity, and research continuity.[Read More]

How Does a LIMS Work, and What Makes an Implementation Fail?

A LIMS is easy to buy but difficult to implement. Success depends on decisions made early—often before a contract is signed. A LIMS makes the sample the unit of record, linking every transfer, method, instrument reading and approval in a traceable history. How well it works ultimately depends on four key decisions made before purchase.[Read More]

Lab Automation: Which Processes Pay, and Which Ones Do Not

Lab automation pays when a task is high volume, low judgement and methodologically stable. When any condition is missing, exceptions can erase the savings. That’s why candidate selection matters more than technology choice. Labs often prioritize tasks by how annoying they are—a poor predictor of automation’s return.[Read More]

Laboratory Informatics Weekly Update – Volume 24, Issue 34

August 24, 2026
Laboratory Informatics Weekly Update

Volume 24, Issue 34

In This Issue

Featured Books

Comprehensive Guide to Developing and Implementing a Cybersecurity Plan

Uncover the ultimate roadmap to safeguard your lab’s valuable data from sophisticated cyber threats. Harnessing the power of a well-configured Laboratory Information Management System (LIMS), this guide details top-notch cybersecurity measures like access control, encryption, audit trails, and vulnerability management to ensure data integrity and regulatory compliance.

…

Visualizing Compliance: Insights for Canadian Pharma/Biotech

This white paper explores common data visualization techniques for biotechnology and pharmaceutical laboratory settings, with examples of how different data sets can be communicated visually. Designed for stakeholders in Canada, it provides practical ideas for presenting complex laboratory information clearly and enabling faster understanding at a glance.[Read More]

Developing a Robust Lab Data Migration Strategy: A Technical How-To Guide for 2026

As FDA’s QMSR became mandatory in 2026, biopharma organizations face growing pressure to modernize and securely migrate laboratory data. This article outlines a regulatory-first framework for validated, AI-ready data migration that protects data integrity, minimizes downtime, supports evolving LDT oversight, and reduces compliance and breach risks.[Read More]

Sourcing the Right Analytics Talent for Modern Drug Discovery: Data Science, Bioinformatics, or Cheminformatics?

Drug discovery has evolved from an empirical, wet-lab discipline into a data-driven enterprise powered by AI, genomics, CRISPR, and multi-omics. As life sciences harness massive datasets to accelerate discovery, a key challenge remains: finding analytics talent with the specialized expertise needed to turn data into breakthroughs.[Read More]

Beyond LIMS Selection: Designing the Modern Lab Informatics Ecosystem

Needs assessments alone no longer carry a digital transformation. CSols senior consultant Alexios Chronis explains why data, not any single system, belongs at the center of an informatics strategy, and how to build a technical framework that scales without over engineering. Attendees learn to separate high value needs from costly wants.[Read More]

LIMS SampleManager Consultant – Remote

CSols is hiring a Junior to Mid-level SampleManager LIMS Configuration SME/Developer (Remote, US or Canada) with Business Analyst experience. The role involves gathering client requirements, configuring SampleManager LIMS (Workflows, Forms, C#, VGL), integrating instrumentation and systems, and providing user training and support.[Read More]

From Code to Cure: Accelerating Drug Discovery for a Global Biopharma Company with Expert AI Agent Developers

Kalleid's case study shows how 3 embedded engineers helped a global biopharma tackle data fragmentation and slow target evaluation by building an agentic AI platform. Results included Okta authentication, expanded discovery criteria, multi-specific visualization tools, and an LLM testing framework.[Read More]

The Strategic Guide to Clinical Research Technology in 2026

Astrix outlines the shift from siloed clinical operations to a unified, interoperable stack built on four pillars: EDC, CTMS, eTMF, and IRT. With ICH E6(R3) and CSA-style validation reshaping compliance expectations, the guide covers decentralized trials, ALCOA+ data integrity, and AI governance for 2026.[Read More]

When a LIMS Starts Paying for Itself

For small and medium-sized laboratories, the benefits of a LIMS are often immediate: fewer duplicate entries, less time spent chasing sample status, faster reporting, more consistent execution, and stronger audit readiness. Want to build the business case? Our experts can help you create a personalized analysis tailored to your lab’s needs.[Read More]

MODA for Laboratory Environmental Monitoring: From Burden to Advantage

MODA-EM transforms lab environmental monitoring from a compliance burden into a strategic advantage, enabling paperless data collection, real-time trending, and instrument integration. CSols highlights where expert laboratory software consulting boosts implementation, ensures regulatory compliance, and streamlines reporting for QC microbiology teams.[Read More]

Laboratory Informatics Weekly Update – Volume 24, Issue 33

August 17, 2026
Laboratory Informatics Weekly Update

Volume 24, Issue 33

In This Issue

Featured Books

The Ultimate Guide to Laboratory Compliance

Struggling to keep up with lab regulations?

Discover how to turn compliance from a headache into a competitive edge.

…

Mastering Change Management: Proven Strategies for AI & Beyond

Implementing AI and digital transformation in the lab often meets resistance rooted in established practices and workflows. This Astrix session shares proven strategies to overcome it and drive lasting adoption: piloting with small groups, refining with feedback, scaling with executive sponsorship, and reinforcing both people and process.…

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