Abstract: High-precision sea surface significant wave height (SWH) data are crucial for advancing oceanic shipping and marine resource development. In this study, we conducted a comparative analysis ...

Abstract: With the rapid development of Large Language Model (LLM) technology, it has become an indispensable force in biomedical data analysis research. However, biomedical researchers currently have ...

The schematic illustrates the comprehensive pipeline for Mendelian randomization analysis, starting with multi-omics data inputs from GWAS, eQTL, and pQTL studies, sourced from major databases such as ...

Artificial intelligence has developed rapidly in recent years, with tech companies investing billions of dollars in data centers to help train and run AI models. The expansion of data centers has ...

Data centers are proliferating in Virginia and a blind man in Baltimore is suddenly contending with sharply higher power bills. The Maryland city is well over an hour’s drive from the northern ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Longitudinal assessment from liquid biopsy of mutations in CD20: A pilot study using a PETE enrichment strategy. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract ...

In this tutorial, we demonstrate the integration of Python’s robust data manipulation library Pandas with Google Cloud’s advanced generative capabilities through the google.generativeai package and ...