Aurelia Butler

Researchers have revealed that so-called “junk DNA” contains powerful switches that help control brain cells linked to Alzheimer’s disease. By experimentally testing nearly 1,000 DNA switches in human astrocytes, scientists identified around 150 that truly influence gene activity—many tied to known Alzheimer’s risk genes. The findings help explain why many disease-linked genetic changes sit outside genes themselves. The resulting dataset is now being used to train AI systems to predict gene control more accurately. More

AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research shows these systems can infer patient demographics from pathology slides, leading to biased results for certain groups. The bias stems from how the models are trained and the data they see, not just from missing samples. Researchers also demonstrated a way to significantly reduce these disparities. More

Researchers have shown that quantum signals can be sent from Earth up to satellites, not just down from space as previously believed. This breakthrough could make global quantum networks far more powerful, affordable, and practical. More

People think online platforms are overflowing with toxic and misleading content, but the reality is far calmer. A small group of highly active users creates most of the harm, while the majority remain relatively civil. Still, many Americans assume the worst about each other because of this imbalance. Correcting that belief can noticeably improve how people feel about society. More

Ramanujan’s elegant formulas for calculating pi, developed more than a century ago, have unexpectedly resurfaced at the heart of modern physics. Researchers at IISc discovered that the same mathematical structures behind these formulas also describe real-world phenomena like turbulence, percolation, and even black holes. What once seemed like pure mathematics now appears deeply intertwined with the physical laws governing the universe. More

A newly developed AI can predict which diseases specific genetic mutations are likely to cause, not just whether they are harmful. The breakthrough could speed up diagnoses and open new paths for personalized treatment. More

Researchers used a deep learning AI model to uncover the first imaging-based biomarker of chronic stress by measuring adrenal gland volume on routine CT scans. This new metric, the Adrenal Volume Index, correlates strongly with cortisol levels, allostatic load, perceived stress, and even long-term cardiovascular outcomes, including heart failure risk. More