Science News
Road expansion has quadrupled fragmentation of Siberian intact forests since 2000
The vast, unbroken forests of Siberia—among the last great wildernesses on Earth—are being quietly carved apart by roads. According to...
Organoid co-cultures expose epithelial and fibroblast diversity in pancreatic cancer and pancreatitis
Pancreatic cancer has long been one of the most formidable opponents in oncology, and a substantial part of its lethality...
Pregnancy haemoglobin levels linked to maternal and newborn health outcomes
Pregnancy has long been monitored with a simple blood test and a simple rule: if haemoglobin falls below a fixed...
Chromatin hub mapping reveals Id proteins drive exhausted CD8+ T cell fate
When the immune system battles a persistent viral infection, its most important foot soldiers—CD8+ T cells—face a fate decision within...
Kagome metals enable goniopolar transverse thermoelectric effects via Fermiology
In a development that could reshape how engineers harvest waste heat, a team of researchers has demonstrated a powerful new...
GHT-SELEX reveals strong sequence specificity in human transcription factors
For decades, molecular biologists have treated the DNA-binding preferences of transcription factors as one of the more settled chapters of...
Exciton condensate defect-bound states mirror Yu-Shiba-Rusinov physics
In the strange world where quantum mechanics bends the rules of matter, few phenomena have captivated physicists as thoroughly as...
Retinomorphic sensor adapts optoelectronic computing through multiple stimulus responses
For decades, the dominant architecture of machine vision has kept sensing and computation strictly apart. A camera captures light, converts...
Measuring elastic barriers that block molecular glass rearrangements
Researchers have long been captivated by one of the most deceptively simple questions in condensed matter physics: what, exactly, makes...
New method counts chromatin loops across the entire genome
Genome-wide maps of chromatin interactions have transformed our understanding of how the genetic blueprint is organized inside the cell nucleus,...
Hybrid deep learning sensor network enables smart underwater monitoring
Marine scientists and engineers have long struggled with a stubborn paradox: the ocean is one of the most important environments...
CNN architectures advance crop disease detection and severity quantification
Plant disease diagnosis powered by artificial intelligence has moved from laboratory curiosity to agricultural necessity, and a new comprehensive survey...
New bioisosteric aza-frameworks built through modular ring strain release
Chemists have long sought efficient ways to build azabicycloalkanes, a family of nitrogen-containing bridged molecular frameworks that have become indispensable...
Fast Semi-Supervised Node Embeddings Using Structural and Label Optimization
Graphs are everywhere in modern science: citation networks, protein interaction maps, social platforms, e-commerce co-purchase structures, and knowledge graphs powering...
New MFCAMNet predicts miRNA-disease links via cascade attention
A team of computer scientists in Xi’an, China, has developed a deep learning model that predicts which microRNAs are linked...
Deep learning identifies cell death types in ischemia reperfusion injury
When a stroke patient finally reaches the hospital and blood flow is restored to the brain, the danger is not...
Single-cell RNA sequencing reveals heterogeneity in chicken gonadal germ cells
In a discovery that is already circulating widely among developmental biologists and poultry scientists, a research team at Westlake University...
AI models predict blood clot risk in septic ICU patients
Sepsis remains one of the most formidable challenges in modern intensive care, a syndrome in which the body’s response to...
Wild Koala Gut Microbiomes Unaffected by Integron Presence
In the eucalypt woodlands of Belair National Park in South Australia, wild koalas are quietly carrying a molecular hallmark of...
Machine learning predicts survival and chemotherapy benefit in gastric cancer
A machine learning model developed by researchers in China may soon help surgeons answer one of the most persistent questions...