This cell-like structure can grow, feed, divide and compete. Researchers ponder what it means for the future of synthetic biology and our definition of “life.” By K. R. Callaway In a lab at the ...

Background: Unstructured clinical text remains a major barrier to interoperable data reuse and large-scale secondary analysis in health care. Large language models (LLMs) have the potential to ...

Tiny, quivering spheres designed to feed and multiply raise prospect of artificial organisms to make drugs, food and fuel Researchers claim they are closer to creating life from scratch after building ...

Scientists say they have built a cell from scratch for the first time that can feed, grow and replicate like a natural cell. This breakthrough in synthetic biology could usher in an era of ...

Arguing over text is generally frowned upon: The conventional wisdom is that written messages leave too much room for misunderstanding because they strip away the nonverbal cues ― body language, ...

To properly understand aging, we have to understand what is slowly unravelling in individual cells. What is it that makes our cells become less efficient and more vulnerable to disease over time, and ...

Anthropic sent a letter to U.S. officials accusing Alibaba of "brazenly" and "illicitly" attempting to extract its AI capabilities. The letter, which was obtained by CNBC, claims Alibaba carried out ...

NEW ORLEANS (WVUE) - A 23-year-old New Orleans man became the first person in Louisiana to be functionally cured of sickle cell disease through gene therapy. Daniel Cressy underwent the procedure at ...

Despite the rapid adoption of LLM chatbots, little is known about how they are used. We document the growth of ChatGPT’s consumer product from its launch in November 2022 through July 2025, when it ...

Abstract: Image-based survival prediction through deep learning techniques represents a burgeoning frontier aimed at augmenting the diagnostic capabilities of pathologists. However, directly applying ...

Abstract: This research study introduces a unique method that makes use of a wide range of deep learning (DL) techniques for automated flaw identification in solar cell images. The research paper ...