Multi-omics refers to an integrated approach that combines data from multiple "omics" technologies to provide a holistic ...

Predicting tumor recurrence at the molecular level emerges as a critical challenge, especially for patients with complex multi-omics profiles. Traditional prognostic models relying on single ...

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 ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

Mark Stevenson has previously received funding from Google. The arrival of AI systems called large language models (LLMs), like OpenAI’s ChatGPT chatbot, has been heralded as the start of a new ...