Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.

Quantitative and qualitative approaches face different challenges and expectations, particularly when it comes to data ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

Data clustering remains an essential component of unsupervised learning, enabling the exploration and interpretation of complex datasets. The field has witnessed considerable advancements that address ...

Members of the university community are invited to participate in a workshop on "Modern Methods for Data Analysis" from Monday, Jan. 11 through Friday, Jan. 15, from 10 a.m. to noon (EST). The ...

The course covers the fundamentals of the human-centered research process and prepares students to plan, design, and conduct their own studies. Students in this course will work alongside their ...

Scientists have developed an accessible software solution specifically designed for the analysis of complex medical health data. The open-source software called 'ehrapy' enables researchers to ...

Institutional investors face complex decisions—where to allocate capital, which managers to trust, how to weather volatility. These choices can’t rely on instinct alone. They require data, structure, ...

This study looks at how national public opinion polling in the United States changed from 2000 to 2022. It focuses on two aspects: the sample source(s) – that is, where the survey takers came from – ...

Single-cell analyses have emerged as powerful tools for studying cellular heterogeneity and gene regulation. Single-cell chromatin accessibility sequencing (scCAS) is a key technology that enables the ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. (Related posts: 5 things to keep in mind when you hear about Gen Z, Millennials, ...