The increasing access to health data worldwide is driving a resurgence in machine learning
research, including data-hungry deep learning algorithms. More computationally efficient …

The explosive growth of biomedical Big Data presents both significant opportunities and
challenges in the realm of knowledge discovery and translational applications within …

Gene and protein set enrichment analysis is a critical step in the analysis of data collected
from omics experiments. Enrichr is a popular gene set enrichment analysis web-server …

Identification of Alzheimer's disease (AD) onset risk can facilitate interventions before
irreversible disease progression. We demonstrate that electronic health records from the …

Abstract Missions into Deep Space are planned this decade. Yet the health consequences
of exposure to microgravity and galactic cosmic radiation (GCR) over years-long missions …

The human gut microbiome vastly extends the set of metabolic reactions catalysed by our
own cells, with far-reaching consequences for host health and disease. However, our …

Abstract Motivation Large language models (LLMs) are being adopted at an unprecedented
rate, yet still face challenges in knowledge-intensive domains such as biomedicine …

Abstract Space biology and health data are critical for the success of deep space missions
and sustainable human presence off-world. At the core of effectively managing biomedical …

Existing medical treatments for endometriosis-related pain are often ineffective,
underscoring the need for new therapeutic strategies. In this study, we applied a …

The increasing accessibility of commercial and private space travel necessitates a profound
understanding of its impact on human health. The NASA Open Science Data Repository …