Live view: Stress-induced changes in generations of cancer cells
Peer-Reviewed Publication
Updates every hour. Last Updated: 5-Nov-2025 13:11 ET (5-Nov-2025 18:11 GMT/UTC)
Cancer cells respond to stress with greater diversity. Drugs that affect DNA replication, or radiation that causes direct DNA damage, lead to increasingly diverse offspring over multiple cell generations. This increases the tumor’s genetic complexity and facilitates the development of resistance to therapy. UZH researchers have now investigated the emergence of cellular diversity in real time.
MIT and SMART researchers developed a way to extend the shelf life of vegetables by injecting them with melatonin using biodegradable microneedles.
As rates of depression and suicide in youth spike, experts are asking whether social media makes kids depressed — or do depressed kids simply spend more time on social media?
A new study provides answers. Researchers at UC San Francisco found that as preteens used more social media, their depressive symptoms increased. Yet the reverse wasn’t true — a rise in depressive symptoms didn't predict a later increase in social media use.
With its fascinating ability to regrow entire limbs and internal organs, the Mexican axolotl is the ideal model for studying regeneration. Scientists from the lab of Elly Tanaka at IMBA now found a factor that tells cells which part of the arm to regenerate - and used it to reprogram the identity of cells as they develop. This breakthrough for the regeneration research field has implications for tissue engineering, including in human tissues. The study was published in the journal Nature today.
SeaSplat is an image-analysis tool that cuts through the ocean’s optical effects to generate images of underwater environments reveal an ocean scene’s true colors. Researchers paired the color-correcting tool with a computational model that converts images of a scene into a three-dimensional underwater “world” that can be explored virtually.
Derek Leben, in his new book AI Fairness: Designing Equal Opportunity Algorithms (MIT Press, 2025), tackles this pressing issue, offering a philosophical framework to evaluate and mitigate the inherent biases of AI. Leben draws inspiration from the work of the philosopher John Rawls, proposing a theory of algorithmic justice built upon core principles including autonomy, equal treatment, and equal impact. These principles, he argues, should guide the design and deployment of AI systems, ensuring they meet a "minimally acceptable level of accuracy," avoid irrelevant attributes, and provide equal opportunity.