GoMeyra Launches Real-Time, Cloud-Based LIMS for Medical Laboratories to Process Same-Day Lab Test Results

Revolutionary software program features first-of-its-kind apps to track test results allowing for quicker returns to work, school and travel, and increased peace of mind

GoMeyra, an innovative new software company dedicated to providing revolutionary tech solutions for medical laboratories, announced today the launch of a customizable cloud-based lab information management system – GoMeyra LIMS.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20201013005321/en/

GoMeyra LIMS was developed as a solution to alleviate bottlenecks and increase efficiency challenges inherent in laboratory workflows. (Photo: Business Wire)

Recognizing the tremendous pressure labs are experiencing to turn around COVID-19 test results, GoMeyra LIMS was specifically designed and developed as a solution to alleviate bottlenecks and increase efficiency challenges inherent in laboratory workflows. By bringing together the bioinformatic expertise of world-class scientists with enterprise-level software engineers, GoMeyra is an unparalleled digital solution for medical laboratories.

The result – this groundbreaking LIMS platform is transforming the testing industry by providing unprecedented processing times. Currently the end-to-end processing platform for dozens of labs and medical practices in the U.S., GoMeyra LIMS is making an immediate impact on productivity – tripling daily capacity and empowering labs to provide same-day, direct-to-patient results reporting. Utilized by labs that service Hollywood film & TV studios, major casinos, pro sports franchises and enterprise-level organizations that employ thousands of Americans, GoMeyra LIMS is enabling the public to return to work, school and normal activities quicker than any other lab solution since the start of the pandemic.

“When the pandemic started, as I continued to see COVID-19 rates increase, it became clear that a solution to the systemic problem of delayed test results caused by labs’ lack of preparedness was desperately needed. I knew this was a perfect way for me to help in the crisis, and channeled my 20 years

Nasdaq Women in Technology: Niharika Sharma, Senior Software Engineer, Nasdaq’s Machine Intelligence Lab

Women in Tech: Niharika Sharma

Niharika Sharma is a Senior Software Engineer for Nasdaq’s Machine Intelligence Lab. She designs systems that gather, process and apply machine learning/natural language processing technologies on natural language data, generating valuable insights to support business decisions. Over the past years, she worked on Natural Language Generation (NLG) and Surveillance Automation for Nasdaq Advisory Services. We sat down with Niharika to learn more about how she got her start in computer science and how she approaches challenges in her career.

Can you describe your day-to-day as a senior software engineer at Nasdaq?

My day-to-day work involves collaborating with Data Scientists to solve problems, ideating business possibilities with product teams and working with Data/Software Engineers to transform ideas into solutions.

How did you become involved in the technology industry, and how has technology influenced your role?

My first exposure to Computer Science was a Logo programming class that I took as a junior in high school. After that, I took a couple of coding classes for fun.

When it came to choosing a college major, my high school Mathematics teacher suggested I consider a career in Software Engineering. At first, I thought, “Programming?! That’s too geeky!”. I liked coding, but I never wanted to be that nerd who sits in a cube staring at a computer all day. For college, I chose to study Chemistry at Delhi University, but a few months into the course, I realized technology was where I belonged, and I eventually pivoted to Engineering.

A decade later, I admit that it was the best decision I ever made. I found the concepts and problem solving so engaging that after obtaining my degree, I took a leap of faith and moved to the U.S. to pursue a Masters in Computer Science from Northeastern University. In the final semester, I

Best Early Beats, Sony, AirPods Pro & Bose Headphones Deals Rated by Spending Lab

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October: VI lab live events | News and features

Computer vision experts from the University of Bristol are part of a new consortium, led by BT, driving the technology that will revolutionise the way we consume live events, from sports such as MotoGP and boxing, to dance classes.

The 5G Edge-XR project, one of seven projects funded by the Department for Digital, Culture, Media & Sport (DCMS) as part of its 5G Create programme, aims to demonstrate new exciting ways that live sport and arts can be delivered remotely using immersive Virtual and Augmented Reality (VR/AR) technology combined with the new 5G network and advanced edge computing.

The 5G Edge-XR consortium, which is led by BT, also includes; The GRID Factory, Condense Reality, Salsa Sound, and Dance East. The project started in September 2020 and will run until March 2022, with a budget of over £4M, with £1.5M coming from DCMS.

The University of Bristol team is based in the Visual Information Lab (VI Lab) and will be working primarily with Condense Reality (CR). The Bristol-based SME, whose CTO and CSO are both Bristol graduates, has developed a state-of-the-art volumetric capture system, capable for generating live 3-D models for AR applications. This brings the prospect of viewing live sports and dance classes in 3-D and in your home, as though you were there in person.

The Bristol team is led by Professors Andrew Calway and David Bull, who will bring their expertise in computer vision and video coding to enhance the system developed by CR. They will be working with researchers from the BT Labs in Adastral Park, Suffolk, which is recognised for its global leadership in 5G research and standards development. 

“This is a very exciting opportunity for the lab and our students, enabling us to engage in important research and knowledge and skills transfer to a local