You're viewing the US edition You can switch to the UK or AU homepage at any time using this menu. Lindsay Clancy holdout juror breaks silence: Why he voted GUILTY... and how the others tried to sway him REBECCA ENGLISH: William is'furious'... and as for the King, I can't even begin to convey his anger: Everything I'm hearing from inside the Palace after Earl Spencer's astonishing book claims Yet again, Harry and Meghan have humiliated themselves in a mess of their own making. Inside Kim Zolciak and husband Kroy Biermann's house of horrors: As son KJ, 15, faces sex abuse allegations involving classmate, watch the shock bodycam footage from before teenager's arrest and read the devastating claims of home violence'Kissing virus' infecting 90% of Americans linked to worse symptoms of devastating neurological disorder Read the book so raw and revealing it has started a war of words with the King. In searing detail, EARL SPENCER recalls Charles's behaviour in the hours and days after Diana died Which midterm races should YOU be watching? Enter your zip code in Daily Mail's exclusive election calculator Outcry as cause of death for teen who vanished during trip to'Sex Rock' is revealed Pentagon insiders unleash on Pete Hegseth's'meddling' wife: Whistleblowers reveal her humiliating nickname among staff... how she keeps husband on'extremely tight leash'... and eyebrow-raising behavior in government meetings Lawmakers freak out at Melania Trump's'creepy' AI robots plan for kids as panic grips nation Real reason'insecure' Amanda Seyfried and Thomas Sadoski's marriage collapsed: Insiders reveal perfect storm of his secret struggle and her'palpable' personal issue that ruined everything College volleyball star dead at 20 just weeks after being diagnosed with'rare disorder' as family shares heartbreaking tribute Woman behind the wheel of SUV that slammed into LA bus before NBC chopper crash was'impaired by drugs' as prior convictions are revealed Ole Miss introduces strict new rule for LSU fans attending Lane Kiffin's return with threat to kick them out of stadium Sickly man loses $450k home over $977 in fees... then HOA snatched the property back for a pittance Julia Stiles calls out'diva' Andy Cohen on DWTS after he labeled her'not the greatest dancer' My husband signed me up to a swingers site without my knowledge - then coerced me into sleeping with 15 men.

Once an organ is removed from a donor's body, the clock starts ticking. Surgeons usually flush the organ with a preservative solution, bag it, and put it on ice--where it immediately starts to degrade. The team has a matter of hours to get it into a recipient's body. There's another option--one that has been growing in popularity in recent years, especially for donated organs that aren't in the healthiest state. Some hospitals opt to put them on machines that pump them with nutrients and remove waste products, usually for around six to 12 hours.

Gene-edited pig kidneys could offer a lifeline to patients stuck waiting for a human donor. A woman has lived with a pig kidney for more than nine months without needing dialysis, a record-setting achievement. The woman underwent the operation at Massachusetts General Hospital on November 22 last year. As of Thursday, the kidney has been functioning for 285 days, according to Cambridge, Massachusetts-based eGenesis, the biotech company that used Crispr gene editing to make the organ fit for human transplantation. Previously, the record for a person living with a transplanted pig kidney was 271 days, set by Tim Andrews. Most people in need of a kidney transplant wait three to five years on average to receive one, though it can take longer depending on blood type and other factors.

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.