Archived Intelligence
A clinical case study details how Responsive Neurostimulation (RNS) successfully managed seizures in a 13-year-old with dominant-hemisphere Rasmussen encephalitis. The intervention reduced seizure burden significantly without the functional loss associated with traditional surgical disconnection.
New simulations using the CLIMBER-X model reveal that the ocean's radiocarbon 'age' is younger than previously thought due to better mixing. The study highlights how cosmic rays and climate shifts distort our chemical clocks.
Researchers have introduced CLinNET, a multi-modal deep neural network designed to identify molecular drivers of neurocognitive disorders. By filtering out uncertain predictions, the model reportedly achieves higher precision than existing computational methods.
Researchers have validated a self-supervised algorithm that denoises chemical maps without requiring clean reference data. By leveraging independent signals from multi-element detectors, the method enables rapid, low-dose imaging for sensitive biological samples.
Researchers compared three algorithms to classify mouse muscle tissue based on calcium signalling activity. The study found that Convolutional Neural Networks achieved the highest accuracy, while Support Vector Machines matched their predictive power (AUC), suggesting automated analysis could aid in diagnosing muscular dystrophies.
Researchers have developed a machine-learning tool that analyses gene expression in removed tumours to predict if cancer will return. By combining this genetic data with physical signs of lymphatic invasion, the model achieved nearly 95% accuracy in risk stratification.
Researchers have engineered a monolithic plasmonic catalyst using a sacrificial ZnO scaffolding to solve light penetration issues in chemical synthesis. This 3D architecture significantly boosts reaction rates and CO2 reduction selectivity compared to traditional powder beds.
Researchers have developed a high-performance flexible battery using a novel acidic hydrogel electrolyte that enables a two-electron redox reaction. This innovation significantly boosts energy density and durability, paving the way for safe, wearable electronics suitable for continuous health monitoring.
Researchers combined genetic analysis with urine metabolomics to identify how specific DNA variants influence colorectal cancer risk. By deleting a small genetic region near the RHPN2 gene, they observed significant disruptions in cell growth and metabolic processing.
A genomic and proteomic analysis of strain NI86/21 reveals how soil bacteria silence large sections of foreign DNA to conserve energy, only activating specific herbicide-degrading enzymes upon exposure. This mechanism appears globally convergent, with identical adaptations found in geographically distinct strains.