Introducing a LIMS can be the best thing that ever happened to your organization. But proper planning, akin to a military operation, ensuring a wide range of inputs and training are key to reducing the barriers to adoption. When a laboratory information management system (LIMS) is introduced into a laboratory it quickly becomes a core part of the organization’s I.T. strategy.
The fragmentation of cannabis regulations poses a particular challenge for multi-state cannabis testing labs. Although the industry and state regulators are trying to align requirements and standards, testing labs still lose many of the benefits of multi-state operations. CannaQA is a laboratory information management system (LIMS) that can help multi-state laboratories...
Join Sunquest for a two-part webinar series focused on anatomic and digital pathology. Learn how LIS technology is advancing the work of today’s busy pathologist to support comprehensive, coordinated, efficient and high-quality care.
Scientific data that demands the flexibility of spreadsheets with the integrity of databases Back in 2018 I was tasked with implementing a Laboratory Information Management System (LIMS) for a genomic sequencing core facility at Weill Cornell Medicine. A LIMS is essentially a database with a few key features... [Read More]
Autoscribe Informatics shows their latest Regulated Manufacturing LIMS (Laboratory Information Management System) at Pittcon 2021 Virtual conference & expo. One of a number of industry specific solutions the Manufacturing system is based on the proven Matrix Gemini LIMS and is ideal for all manufacturing organizations including those in highly regulated industries such as pharmaceutical, medical device and food production.
A global specialty chemicals company was running Thermo Fisher Scientific SampleManager LIMS™ and Atlas CDS on an SQL server at a number of different sites to collect, store and report operational data. These systems were integrated with instruments, process control systems and SAP. The company initially used internal...
Inference attacks occur when a (typically) malicious actor is able to infer from public information more sensitive information about a database or individual without directly accessing the original database or sensitive user information. That these sorts of attacks can be successful against applications and data on cloud-based infrastructure should not be a surprise to seasoned IT veterans. Recognizing these concerns, Jebali et al. examine the state of inference attacks in the cloud, the research that has been conducted so far on such attacks, and what can be done about them. Aside from examining a variety of security concerns in both communicating and non-communicating servers, the authors also address the inference problem, offering a potential solution that will in theory "optimize data distribution without the need to query the workload, then partition the database in the cloud by taking into consideration access control policies and data utility, before finally running a query evaluation model on a big data framework to securely process distributed queries while retaining access control." They conclude by recognizing more research must be done to test their proposed solution, and noting that past research has often overlooked other types of inference sources such as inclusion dependencies, join dependencies, and multivalued dependencies, which should be further examined.
This is a Curtin University course that is released on the edX platform. The five-week course is designed for students to "learn how to apply software solutions for different systems and big data needs to your IoT designs." The course is free to take, with a Verified Certificate of completion available for $149. This course is also part of Curtin's Internet of Things MicroMasters program. The course requires on average four to six hours a week of effort. Access to the class begins February 24, 2020.