It is well known in the high-performance computing (HPC) community that many (perhaps most) HPC workloads exhibit dynamic performance envelopes that can stress the memory, compute, network, and ...

The more accurately warehouse and distribution center managers can predict labor requirements, space availability, workflow and other variables, the more effectively they can operate their facilities.

PITTSBURGH, Feb. 11, 2025 /PRNewswire/ -- Ansys (NASDAQ: ANSS) and Concepts NREC have partnered to deliver an automated workflow that connects design tools with robust analysis tools for ...

After a patient with a high risk of sepsis spikes a fever or develops other symptoms, a delay in hours, let alone days, to place the patient on the right drug can dramatically increase mortality rates ...

The increasing need for improved, safer, and more dependable batteries calls for the development of workflows that can effectively analyze batteries and battery materials at different stages of their ...

Recent advancements in liquid biopsies have demonstrated the potential of cfDNA as a universal, minimally invasive sample type in cancer prognosis, diagnosis, and prenatal testing 1. In parallel, the ...

The success of any large-scale proteomics study is fundamentally determined at the sample preparation stage, which serves as the critical bridge between the biological system and the analytical ...

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WALTHAM, Mass.--(BUSINESS WIRE)--Revvity, Inc. today announced the introduction of a flexible end-to-end workflow solution for newborn research, enabling users to utilize different instruments, ...

TEL AVIV, Israel & SAN JOSE, Calif.--(BUSINESS WIRE)--RSIP Vision, a respected leader driving medical imaging innovation through advanced AI and computer vision solutions, announced today its new ...

Yellow lines denote area of analysis; red lines denote ROI for radiomic features extraction. X = original image, L = low-pass filter, H = high-pass filter. Image may only be used with appropriate ...

In the field of high-throughput MS, transparent and reproducible data analysis has traditionally been challenging owing to rapidly evolving technology, a highly heterogeneous software landscape and ...