Follow this author to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. It seems odd that your body's internal age may differ from your chronological one. But Tony Wyss-Coray, a Swiss professor of neurology and director of the Knight Initiative for Brain Resilience at Stanford University, has pioneered ways to measure a person's "biological age," which scientists say more accurately reflects how a body is aging than does chronological age.

Juan Carlos Izpisua Belmonte Believes Aging May Come Down to a Cell's Identity Crisis Follow this author to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. For decades, Juan Carlos Izpisua Belmonte focused on unlocking the secrets of human life at its earliest stages. A pioneer in developmental biology and a long-time professor at the Salk Institute, he used Shinya Yamanaka's game-changing discovery of four genes that can essentially rewind the clock--turning adult cells to a younger state--to better understand how a fertilized egg turns into a human. Izpisua Belmonte's groundbreaking studies include creating the first embryo containing both human and monkey cells in 2021 to better study the steps that occur well before birth.

It sounds as metal as it looks. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The invention uses standard spark plugs and ignition coils to create the flames. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

Why is heart cancer so rare? More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The heart has unique features that make it less susceptible to cancer. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

Plus: Space data centers don't exist yet, but people already oppose them. Supercooled kidneys have been transplanted into pigs in a "landmark achievement" When it comes to organ donation, time is everything. As soon as an organ has been removed from a donor's body, it starts to deteriorate. Surgeons have only a matter of hours to get it into a recipient. In most cases, organs will be kept on ice during that time, at around 4 C (39 F). They cannot be frozen--in previous attempts, ice has formed, causing all kinds of damage.

Plus: Meta is pausing an AI training program that tracks workers' keystrokes. It's a bit of a schlep to get to the top of ASML's newest machine. It's about the size of a double-decker bus, weighs more than 150 tons, and costs $400 million. But if you want to make the world's most powerful chips, a lithography system like this is essential. The AI era needs ever faster chips, and ASML's machines make that possible. They pattern chip features with extreme-ultraviolet light, or EUV--radiation outside the visible spectrum, produced by shooting lasers at tiny molten drops of tin tens of thousands of times a second.

A central challenge in organ transplantation is the extremely low acceptance rate of donor organ offers--typically in the single digits--leading to high discard rates and suboptimal use of available grafts. Current acceptance models embedded in allocation systems are non-causal, trained on observational data, and fail to generalize to policy-relevant counterfactuals. This limits their reliability for both policy evaluation and simulator-based optimization. In this work, we reframe organ offer acceptance as a counterfactual prediction problem and propose a method to learn from routinely recorded--but often overlooked--refusal explanations. These refusal reasons act as direction-only counterfactual signals: for example, a refusal reason such as "old donor age" implies acceptance might have occurred had the donor been younger. We formalize this setting and introduce CLEXNET, a novel causal model that learns policy-invariant representations via balanced training and an explanation-guided augmentation loss. On both synthetic and semi-synthetic data, CLEXNET outperforms existing acceptance models in predictive performance, generalization, and calibration, offering a robust drop-in improvement for simulators and allocation policy evaluation. Beyond transplantation, our approach provides a general method for incorporating human direction-only explanations as a form of model supervision, improving performance in settings where only observational data is available.

Widely adopted evaluation metrics for sparse-view CT reconstruction, such as Structural Similarity Index Measure and Peak Signal-to-Noise Ratio, prioritize pixel-wise fidelity but often fail to capture the completeness of critical anatomical structures, particularly small or thin regions that are easily missed. To address this limitation, we propose a suite of novel anatomy-aware evaluation metrics designed to assess structural completeness across anatomical structures, including large organs, small organs, intestines, and vessels. Building on these metrics, we introduce CARE, a Completeness-Aware Reconstruction Enhancement framework that incorporates structural penalties during training to encourage anatomical preservation of significant structures. CARE is model-agnostic and can be seamlessly integrated into analytical, implicit, and generative methods.

The free Human Organ Atlas gives users an up-close-and-personal look at 56 human organs. The Human Organ Atlas portal is open-access and includes the kidneys, brain, heart, and more. Breakthroughs, discoveries, and DIY tips sent six days a week. If watching is giving you a renewed interest in the human body in all of its gory glory, there's a new tool that will help satisfy your curiosity. An international team of scientists developed an open-access 3D portal where users can explore human organs in detail.

Hormones, shifting organs, and a growing baby can leave permanent marks. Breakthroughs, discoveries, and DIY tips sent six days a week. We've all seen the photos: a celebrity gives birth on Tuesday and looks flawless in a bikini by Thursday. Meanwhile, the rest of us are still trying to figure out what happened to our feet. The truth is pregnancy causes some surprising long-term changes to your body, regardless of whether you're a celebrity or a soccer mom.