FSMA 204 Moved to 2028. Your Retail Customers’ Deadlines Did Not

The FDA’s Food Traceability Rule now takes effect July 20, 2028, but major retailers have established their own traceability deadlines. Some require data on all food items rather than only those on the Food Traceability List, making retailer requirements an immediate priority for food manufacturers.[Read More]

S02 E11 Rewriting the Rules of R&D: A Conversation on AI and Lab Architecture

Why is digital transformation stalling in the physical sciences? In this CSols podcast episode, Uncountable CEO Noel Hollingsworth talks through what’s holding R&D teams back, where AI fits in, and how a modern lab architecture can help get new products to market faster. Worth a listen if you lead R&D or lab informatics projects.[Read More]

Intelligent Decision Support for Modern Lab Operations with LabVantage CORTEX and Agentic AI

Most LIMS platforms store lab data but can't help interpret it. This Astrix post explains how LabVantage CORTEX uses agentic AI to spot assay and instrument drift, stability concerns, and workflow bottlenecks as work progresses. It runs as an orchestration layer, so the validated LIMS stays untouched and scientists keep the final call.[Read More]

LabLynx One: Built Around Solutions, Not Functionality

LabLynx One is the next generation of LabLynx, available now. Instead of configuring a blank system for months, your lab starts with a ready-to-use solution built for your type of work, like water testing or used oil analysis, and runs in days or weeks. LabLynx LIMS and ELN are part of the platform, licensed by team with unlimited users.[Read More]

Removing the Barriers to ELN Adoption

Many growing biotech companies recognize the benefits of an Electronic Lab Notebook but hesitate because they expect a complex implementation process. Arxspan ELN removes those barriers with a cloud-based solution designed for chemistry and biology teams, enabling rapid evaluation without manual activation, software installation, or IT overhead. Experience how easy it can be to capture, search, and share experimental data in a platform built specifically for modern research workflows.[Read More]

Bridging the AI‒Chemistry Divide: Embedding ML Engineering Expertise into Computational Chemistry Workflows

A global biopharma company’s drug discovery program was stalling: ML models stuck as prototypes, slow HPC runs, and pipelines no one could reproduce. This Kalleid case study shows how one embedded ML engineer with computational chemistry know-how built production-ready tools, scalable GPU workflows, and reproducible pipelines the team could own.[Read More]

Laboratory Informatics Weekly Update – Volume 24, Issue 41

October 12, 2026
Laboratory Informatics Weekly Update

Volume 24, Issue 41

In This Issue

Featured Books

The Laboratory Handoff Problem

Most lab errors and delays don’t happen at the bench. They happen in between, when a sample, a result or the responsibility for it changes hands.

…

Laboratory Informatics Weekly Update – Volume 24, Issue 40

October 5, 2026
Laboratory Informatics Weekly Update

Volume 24, Issue 40

In This Issue

Featured Books

The Laboratory Handoff Problem

Most lab errors and delays don’t happen at the bench. They happen in between, when a sample, a result or the responsibility for it changes hands.

…

eCOA and Digital Health Technology: Why Direct Data Capture Demands Disciplined Project Management

eCOA and digital health technology (DHT) data are rapidly becoming a dominant source of clinical trial data and increasingly support key efficacy and patient-centered endpoints. Multinational trials require consistent endpoint collection across countries, sites, and patient populations, while eCOA platforms integrate with wearable sensors and other DHTs to capture objective measures of patient health, activity, mobility, sleep, and symptom burden.[Read More]

The Role of an Electronic Lab Notebook in Scaling Scientific Innovation

As biotech startups grow, managing experimental data, collaboration, and regulatory expectations becomes increasingly complex. Arxspan ELN provides chemistry and biology teams with a structured way to capture, organize, and share scientific knowledge while improving efficiency, reproducibility, and collaboration.[Read More]

Talent on Demand: Sourcing an Expert Computational Chemist to Accelerate Discovery Pipelines

A global biopharmaceutical company facing an impending patent cliff sought to proactively close its future revenue gap and strengthen its early-stage pipeline. A senior-level Computational Chemistry Consultant helped the organization implement advanced computer methods and drive faster, more informed decision-making across its drug discovery pipeline.[Read More]

Inside a Successful LIMS Setup Process

A successful LIMS setup begins with understanding how your lab works right now and planning for where you want to go next. A rush to install without preparation often leads to more headaches down the line. A successful setup keeps pace with your team, responds to real workflow needs, and supports growth, not just today, but into the future.[Read More]