https://www.limsforum.com The Global Laboratory, Informatics, Medical and Science Professional Community Mon, 13 Jul 2026 12:03:19 +0000 en-US hourly 1 https://wordpress.org/?v=6.1.12 https://s3.limsforum.com/www.limsforum.com/wp-content/uploads/cropped-LIMSforum-Fav-32x32.png https://www.limsforum.com 32 32 https://www.limsforum.com/116250-2/116250/?utm_source=rss&utm_medium=rss&utm_campaign=116250-2 Fri, 10 Jul 2026 17:45:08 +0000 https:/?p=116250 The lab informatics landscape is crowded with overlapping terms, and choosing the right platform is now one of a lab's most strategic decisions. Sapio breaks down what a Lab Informatics Platform really is, how it differs from a LIMS and an ELN, and why integrating them into one system is critical for data integrity, compliance, and AI-ready insights.[Read More]]]> https://www.limsforum.com/116222-2/116222/?utm_source=rss&utm_medium=rss&utm_campaign=116222-2 Mon, 06 Jul 2026 13:29:01 +0000 https:/?p=116222 Traditional electronic lab notebooks record experiments, but they rarely help scientists interpret results or decide what to test next. This piece explains how AI lab notebooks add governed, explainable intelligence to the ELN, linking data, models, and decisions so researchers can move from documentation to real time scientific reasoning.[Read More]]]> https://www.limsforum.com/116197-2/116197/?utm_source=rss&utm_medium=rss&utm_campaign=116197-2 Mon, 29 Jun 2026 14:55:30 +0000 https:/?p=116197 Gartner estimates over 40% of agentic AI projects will be cancelled by 2027, often because of weak foundations rather than weak algorithms. Drawing on three keynotes from SapioCon 2026, this piece lays out the three prerequisites for practical AI in life sciences: structured data, a trusted verification layer, and the compute to act in the physical world.[Read More]]]> https://www.limsforum.com/116171-2/116171/?utm_source=rss&utm_medium=rss&utm_campaign=116171-2 Mon, 22 Jun 2026 11:15:56 +0000 https:/?p=116171 At SapioCon 2026, one problem kept surfacing: 65% of bench scientists repeat experiments simply because they cannot find or trust earlier work, and an estimated 55% of scientific data sits dark in legacy systems. Sapio makes the case for a digital-from-day-one strategy, building the right infrastructure from the start so data becomes a trustworthy, AI-ready foundation.[Read More]]]> https://www.limsforum.com/116142-2/116142/?utm_source=rss&utm_medium=rss&utm_campaign=116142-2 Fri, 12 Jun 2026 17:18:37 +0000 https:/?p=116142 For pharma labs, selecting a Lab Data Management System that fully supports ASTM and HL7 standards is no longer optional. Sapio explains how standardized data exchange reduces friction in multi-site collaborations, simplifies regulatory submissions, and turns instrument data into auditable, AI-ready records across the research lifecycle.[Read More]]]> https://www.limsforum.com/116105-2/116105/?utm_source=rss&utm_medium=rss&utm_campaign=116105-2 Thu, 04 Jun 2026 23:01:43 +0000 https:/?p=116105 At SapioCon 2026, Sapio Sciences explored whether advanced AI methods can be made operational inside workflows that are governed, traceable, and built for real-world decisions. The event showed labs moving from isolated AI tools to orchestrated discovery, with intelligence embedded in the validated record rather than bolted on as an afterthought.[Read More]]]> https://www.limsforum.com/116075-2/116075/?utm_source=rss&utm_medium=rss&utm_campaign=116075-2 Fri, 29 May 2026 16:36:20 +0000 https:/?p=116075 Drug development depends on accurate, accessible, compliant lab data, yet too often it lives in siloed LIMS, ELN, and instrument databases. A unified lab informatics platform connects these systems into a single environment, enabling seamless data flow from instruments to analysis, reducing friction, supporting compliance, and driving reliable decisions.[Read More]]]> https://www.limsforum.com/116049-2/116049/?utm_source=rss&utm_medium=rss&utm_campaign=116049-2 Sun, 24 May 2026 13:38:41 +0000 https:/?p=116049 AI investments are not delivering returns for many scientific organizations, and the root cause is rarely the technology itself. At a joint Sapio Sciences and Zifo event, R&D leaders agreed that AI readiness in the lab is a foundation problem, not a technology one, and explored how to build the data and governance to make it work.[Read More]]]> https://www.limsforum.com/116032-2/116032/?utm_source=rss&utm_medium=rss&utm_campaign=116032-2 Fri, 15 May 2026 04:07:28 +0000 https:/?p=116032 A buyer's guide for QA directors and lab managers evaluating LIMS in GMP-regulated environments. Eight leading platforms are compared against regulatory compliance, instrument connectivity, batch workflow support, configurability, and scalability. The right choice depends on where your lab sits across scale, speed, and compliance depth.[Read More]]]> https://www.limsforum.com/115960-2/115960/?utm_source=rss&utm_medium=rss&utm_campaign=115960-2 https://www.limsforum.com/115960-2/115960/#respond Fri, 08 May 2026 04:08:04 +0000 https://www.limsforum.com/?p=115960 AI investment in biopharma R&D keeps accelerating, but most ELN and LIMS platforms were built as transactional record-keepers, not foundations for production-scale AI. This Sapio post outlines the architectural choices that make informatics AI-ready: upstream data quality, semantic interoperability, scalability, and embedded governance across the model lifecycle.[Read More]]]> https://www.limsforum.com/115960-2/115960/feed/ 0 https://www.limsforum.com/115958-2/115958/?utm_source=rss&utm_medium=rss&utm_campaign=115958-2 https://www.limsforum.com/115958-2/115958/#respond Fri, 01 May 2026 04:07:04 +0000 https://www.limsforum.com/?p=115958 Sapio Sciences has connected Anthropic's Claude Cowork to the Sapio Platform via Sapio Elain, its AI co-scientist, giving scientists and project leaders a single conversational interface to search, analyze and act on R&D data across ELN and LIMS. Built on Model Context Protocol, every action runs with full traceability to the requesting user.[Read More]]]> https://www.limsforum.com/115958-2/115958/feed/ 0 https://www.limsforum.com/115922-2/115922/?utm_source=rss&utm_medium=rss&utm_campaign=115922-2 https://www.limsforum.com/115922-2/115922/#respond Fri, 24 Apr 2026 04:05:31 +0000 https://www.limsforum.com/?p=115922 As AI drives renewed interest in historical lab data, pharma R&D teams face new challenges around long-term storage, retrieval, and version control. A robust Lab Data Management System provides the structure to preserve data integrity, traceability, and institutional knowledge across projects, teams, and decades of research.[Read More]]]> https://www.limsforum.com/115922-2/115922/feed/ 0 https://www.limsforum.com/115880-2/115880/?utm_source=rss&utm_medium=rss&utm_campaign=115880-2 https://www.limsforum.com/115880-2/115880/#respond Fri, 17 Apr 2026 04:08:59 +0000 https://www.limsforum.com/?p=115880 Lab AI adoption is moving through three stages: passive ELNs that record work without supporting it, shadow labs where scientists lean on public generative AI and fragment the record, and active labs where governed intelligence lives inside the notebook itself. See the full maturity model and a practical roadmap to get from one to the next.[Read More]]]> https://www.limsforum.com/115880-2/115880/feed/ 0 https://www.limsforum.com/115852-2/115852/?utm_source=rss&utm_medium=rss&utm_campaign=115852-2 https://www.limsforum.com/115852-2/115852/#respond Sun, 12 Apr 2026 04:07:16 +0000 https://www.limsforum.com/?p=115852 Nearly all lab professionals (97%) now use some form of AI, and 77% turn to public tools like ChatGPT alongside their ELN. The problem? 45% do so through personal accounts, pulling scientific reasoning outside governed workflows. This article explores why labs need context-aware AI inside the notebook, not a crackdown.[Read More]]]> https://www.limsforum.com/115852-2/115852/feed/ 0 https://www.limsforum.com/115827-2/115827/?utm_source=rss&utm_medium=rss&utm_campaign=115827-2 https://www.limsforum.com/115827-2/115827/#respond Fri, 03 Apr 2026 04:08:08 +0000 https://www.limsforum.com/?p=115827 New research from Sapio Sciences reveals that 65% of lab professionals report repeating experiments because prior results are too hard to find or reuse. While 81% say their ELN records data effectively, it falls short on interpretation. The findings highlight a growing need for next-generation notebooks that support reuse, context, and decision-making.[Read More]]]> https://www.limsforum.com/115827-2/115827/feed/ 0 https://www.limsforum.com/115804-2/115804/?utm_source=rss&utm_medium=rss&utm_campaign=115804-2 https://www.limsforum.com/115804-2/115804/#respond Fri, 27 Mar 2026 04:05:37 +0000 https://www.limsforum.com/?p=115804 With 65% of scientists repeating experiments due to lost context and 55% of scientific data effectively "dark," life sciences organizations need a "digital-from-day-one" strategy. Building a unified lab informatics backbone before the science begins ensures audit-ready compliance, preserves workflow context, and creates the trusted data foundation AI tools require to deliver real value.[Read More]]]> https://www.limsforum.com/115804-2/115804/feed/ 0 https://www.limsforum.com/115772-2/115772/?utm_source=rss&utm_medium=rss&utm_campaign=115772-2 https://www.limsforum.com/115772-2/115772/#respond Fri, 20 Mar 2026 04:09:42 +0000 https://www.limsforum.com/?p=115772 AI investment in life sciences is surging, but enterprise-wide impact remains uneven. SapioCon 2026 explored why: the bottleneck isn't capability, it's coordination. With 65% of scientists repeating experiments due to lost context and over half of organizational data trapped in silos, the real challenge is building workflows where AI can deliver end to end.[Read More]]]> https://www.limsforum.com/115772-2/115772/feed/ 0 https://www.limsforum.com/115755-2/115755/?utm_source=rss&utm_medium=rss&utm_campaign=115755-2 https://www.limsforum.com/115755-2/115755/#respond Mon, 16 Mar 2026 04:08:43 +0000 https://www.limsforum.com/?p=115755 Over 75% of scientists admit to using unvetted AI tools outside governed systems just to keep up. This SapioCon 2026 recap explores why coordination, not ambition, remains the real R&D bottleneck and how embedding intelligence directly into the lab record is replacing bolt-on tools with orchestrated, traceable, audit-ready workflows.[Read More]]]> https://www.limsforum.com/115755-2/115755/feed/ 0 https://www.limsforum.com/115732-2/115732/?utm_source=rss&utm_medium=rss&utm_campaign=115732-2 https://www.limsforum.com/115732-2/115732/#respond Thu, 05 Mar 2026 05:07:23 +0000 https://www.limsforum.com/?p=115732 97% of scientists now use AI to support lab work, yet 65% still repeat experiments because legacy ELNs can't surface prior results. This Sapio Sciences report surveying 150 life sciences professionals reveals why traditional electronic lab notebooks are failing and how AI-native notebooks are becoming the new standard for scientific productivity.[Read More]]]> https://www.limsforum.com/115732-2/115732/feed/ 0 https://www.limsforum.com/115693-2/115693/?utm_source=rss&utm_medium=rss&utm_campaign=115693-2 https://www.limsforum.com/115693-2/115693/#respond Fri, 27 Feb 2026 05:10:37 +0000 https://www.limsforum.com/?p=115693 Implementing an ELN is only the beginning. In biopharma R&D, sustaining long-term adoption requires ongoing strategies that keep scientists engaged and ensure the platform evolves with their workflows. Discover key approaches to drive continued ELN usage, overcome resistance, and maximize the return on your digital lab investment.[Read More]]]> https://www.limsforum.com/115693-2/115693/feed/ 0