Big data has valuable implications for analyzing datasets and in day-to-day clinical practice, explained Ken Cohen, MD, director of translational research for Optum Care. Big data has valuable ...

This pie chart illustrates the distribution of visualization tools in the FigureYa resource package across three dimensions: research type (outer ring), analysis method (middle ring), and output ...

Interpretation is the discipline through which molecular datasets reveal their significance. As the life sciences enter a new era defined by data richness and technological capacity, interpretive ...

The Gordon and Betty Moore Foundation has awarded a Johns Hopkins University astronomer and computer scientist a $1.2 million grant to devise a new method for analyzing information created in ...

At this stage it’s important to follow the best practices in your discipline. Whether you are using your desktop, a computing cluster, or a Jupyter notebook on Google, you’ll need to have a plan for ...

While more companies are using real-world data (RWD) and real-world evidence (RWE) in research, there are still barriers that continue to plague its uptake. One of the main barriers for companies ...

Jianwei Shuai's team and Jiahuai Han's team at Xiamen University have developed a deep autoencoder-based data-independent acquisition data analysis software for protein mass spectrometry, which ...

Sensing a greater need in big-data analysis tools, IBM will invest $100 million to research advanced large-scale analytics, the company announced Friday. IBM also said it will have 20 new service ...

The Researcher agent is tailored to simplify and optimize intricate, multi-step research processes. By integrating OpenAI’s advanced research models into Microsoft 365 Copilot, this tool enables users ...

Gonzalo Arce College of Engineering — Electrical and Computer Engineering arce@udel.edu Machine learning, data science, graph signal and data processing, geometrical neural networks, statistical ...