Eric Dane dead at 53: Grey's Anatomy star dies after courageous battle with ALS... less than a year after announcing diagnosis RICHARD KAY: Andrew's fall may now be complete. The question is... Will he bring down the House of Windsor with him? Alysa Liu finally ends America's 24-year wait for a Winter Olympics figure skating gold medal as she wins nerve-shredding final The tide of sleaze rolling over Beatrice, Eugenie and Fergie is going to capsize them all. My stalker said he'd rape and dismember me. Then he turned his depraved sights on my seven-year-old daughter, says EVA LARUE.

Seven million people's cancer could be prevented each year, according to the first global analysis. A report by World Health Organization (WHO) scientists estimates 37% of cancers are caused by infections, lifestyle choices and environmental pollutants that could be avoided. This includes cervical cancers caused by human papilloma virus (HPV) infections which vaccination can help prevent, as well as a host of tumours caused by tobacco smoke from cigarettes. The researchers said their report showed there is a powerful opportunity to transform the lives of millions of people. Some cancers are inevitable - either because of damage we unavoidably build up in our DNA as we age or because we inherit genes that put us at greater risk of the disease.

People who are screened for breast cancer by AI-supported radiologists are less likely to develop aggressive cancers before their next screening round than those who are screened by radiologists alone, raising hopes that AI-assisted screening could save lives. "This is the first randomised controlled trial on the use of AI in mammography screening," says Kristina Lång at Lund University in Sweden. The AI-supported approach involves using the software - which has been trained on more than 200,000 mammography scans from 10 countries - to rank the likelihood of cancer being present in mammograms on a scale of 1 to 10, based on visual patterns in the scans. The scans receiving a score of 1 to 9 are then assessed by one experienced radiologist, while scans receiving a score of 10 - indicating cancer is most likely to be present - are assessed by two experienced radiologists. An earlier study found that this approach could detect 29 per cent more cancers than standard screening, where each mammogram is assessed by two radiologists, without increasing the rate of false detections - where a growth is flagged but follow-up tests reveal it isn't actually there or wouldn't go on to cause problems.

Scott Adams, the US cartoonist who wrote and illustrated the comic strip Dilbert, has died of cancer at the age of 68. His ex-wife Shelly Miles announced his death on Tuesday during a live stream of his podcast, Real Coffee with Scott Adams. The satirical cartoon strip - about a competent but frustrated engineer and his dysfunctional workplace environment - was first published in 1989, and went on to feature in more than 2,000 newspapers in 65 countries. The character also later appeared in books, an animated TV series and video game. But in 2023, his comic strip was cancelled by newspapers including the Washington Post after Adams was accused of making racist comments about black people.

A new book explores how humans evolved to be wired for intimacy. It can save our lives. Intimate relationships provide stability, safety, and reassurance, especially when we are in pain. Breakthroughs, discoveries, and DIY tips sent every weekday. Adapted from THE INTIMATE ANIMAL by Justin Garcia, PhD. Used with permission of Little, Brown Spark, an imprint of Little, Brown and Company. Jen and Dave's second child was born in November 2002. Two weeks later, on a cold Thursday night, the phone rang.

Breakthroughs, discoveries, and DIY tips sent every weekday. For years, needing reading glasses to correct farsightedness seemed like an inevitable part of aging. This year, the visual accessories might officially be a thing of the past. The newly approved drops are powerful enough to improve vision by three or more lines on an eye chart within only 30 minutes. That wide-ranging impact is why chose the drops as the 2025 Health category winner.

This paper introduces the novel concept of few-shot weakly supervised learning for pathology Whole Slide Image (WSI) classification, denoted as FSWC. A solution is proposed based on prompt learning and the utilization of a large language model, GPT-4. Since a WSI is too large and needs to be divided into patches for processing, WSI classification is commonly approached as a Multiple Instance Learning (MIL) problem. In this context, each WSI is considered a bag, and the obtained patches are treated as instances. The objective of FSWC is to classify both bags and instances with only a limited number of labeled bags. Unlike conventional few-shot learning problems, FSWC poses additional challenges due to its weak bag labels within the MIL framework.

Precision medicine aims for personalized prognosis and therapeutics by utilizing recent genome-scale high-throughput profiling techniques, including next-generation sequencing (NGS). However, translating NGS data faces several challenges. First, NGS count data are often overdispersed, requiring appropriate modeling. Second, compared to the number of involved molecules and system complexity, the number of available samples for studying complex disease, such as cancer, is often limited, especially considering disease heterogeneity. The key question is whether we may integrate available data from all different sources or domains to achieve reproducible disease prognosis based on NGS count data. In this paper, we develop a Bayesian Multi-Domain Learning (BMDL) model that derives domain-dependent latent representations of overdispersed count data based on hierarchical negative binomial factorization for accurate cancer subtyping even if the number of samples for a specific cancer type is small. Experimental results from both our simulated and NGS datasets from The Cancer Genome Atlas (TCGA) demonstrate the promising potential of BMDL for effective multi-domain learning without ``negative transfer'' effects often seen in existing multi-task learning and transfer learning methods.

'Hope in a bottle' for a deadly cancer and the firefly gene that lit the way The first FDA-approved treatment for an incurable brain cancer gives the gift of time. On the road to the treatment's discovery, scientists used the illuminating luciferase gene, which gives fireflies their signature glow. Breakthroughs, discoveries, and DIY tips sent every weekday. It was as if his muscle memory had evaporated. Twenty-year-old Ethan White couldn't remember how to use the drumsticks.