From transparency to data governance, learn what safeguards are critical to ensure that generative AI delivers safe, trusted ...

Plants form a critical model for understanding regulated cell death (RCD) as part of their sophisticated immune responses. In the ongoing evolutionary arms ...

Terpenoids are among the most pharmacologically valuable plant metabolites, yet their biosynthetic gene clusters in Euphorbiaceae have remained largely unexplored. This study establishes a ...

Abstract: Early prognostic prediction is crucial for determining appropriate clinical interventions. Previous single-omics models had limitations, such as high contingency and overlooking complex ...

Nearly 50 new cancer therapies are approved every year. While this positive trend is a huge benefit for patients, Altuna Akalin, PhD, head of the bioinformatics and omics data science technology ...

The integration of multi-omics approaches in drug discovery is rapidly gaining momentum, offering a more comprehensive understanding of disease biology and paving the way for personalized medicine. A ...

Earlier this month, 36 sharp-witted high school students from around the globe stepped foot on the warm and breezy campus of Stanford University. Out of more than 4,000 students from more than 2,000 ...

Abstract: Recent studies on integrating multiple omics data highlighted the potential to advance our understanding of the cancer disease process. Computational models based on graph neural networks ...

Omics refers to the measurement and analysis of the totality of molecules or biological processes involved within an organism. Examples of omics data include genomics, transcriptomics, epigenomics, ...

Building on years of innovation—from the Dante Labs Genome to the Avanti Platform—Dante Omics AI introduces fully integrated solutions designed for diagnostics, biopharma and longevity. NEW ...