The journal / Research & perspectives
Research findings, independent perspectives and lessons from the work of turning science into impact.
Explore 434 articles ↓
Technology & engineering
Core idea: Passive systems in an active environmentMost LIMS were designed to archive data, not run labs. They log samples, store results, and generate reports—then step aside.Labgeni challenges that outdated model by ac…
Research & leadership
Labs are evolving from manual execution centers into intelligent, semi-autonomous systems.Labgeni is not replacing people—it’s elevating them by handling orchestration, prediction, and optimization.From my long exposure …
Research & leadership
When workload increases, the default response is hiring. Often, that’s the most expensive mistake.Labgeni reveals where capacity actually exists and reallocates it intelligently.If your first reaction to pressure is recr…
Research & leadership
Most SOP violations aren’t intentional. They happen because SOPs live in PDFs while work happens under pressure.Labgeni embeds SOPs directly into workflows—step by step, context-aware, and enforced by design.If complianc…
Technology & engineering
Labs lose time not because equipment breaks—but because failure is detected too late.
Research & leadership
Lab managers today are buried in firefighting—approvals, follow-ups, scheduling conflicts. That’s not leadership; it’s survival.Labgeni automates operational chaos so managers can focus on strategy, quality, and growth.I…
Research & leadership
Blaming technicians for errors is lazy management. Human error follows patterns: fatigue, overload, unclear SOPs, and poor interfaces.Labgeni learns these patterns and introduces guardrails—alerts, validation steps, and …
Technology & engineering
Labs produce massive volumes of data, yet critical decisions still depend on manual judgment, emails, and hallway conversations.Labgeni contextualizes data—linking samples to operators, instruments, SOPs, timing, and his…
Research & leadership
Core idea: Bottlenecks are invisible until AI exposes themTurnaround time doesn’t fail at one step—it erodes across many small inefficiencies. Manual prioritization, equipment downtime, unclear ownership, and poor sequen…
Research & leadership
Core idea: Tools ≠ intelligenceMost labs don’t fail because of bad staff or weak equipment. They fail because their systems don’t think. Spreadsheets, fragmented software, and static LIMS record what already happened—but…
Technology & engineering
Laboratories and Research Centre are evolving fast. Sample volumes are increasing, regulatory expectations are tightening, and teams are expected to deliver accurate, auditable results at record speed. In this environmen…
