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#2391Medicine & HealthFront Page12 November 2025

Protein 'Leak' Proves Reliable Stand-in for Kidney Failure in Clinical Trials

An updated meta-analysis has reinforced the value of using early changes in proteinuria—protein leaking into the urine—as a reliable predictor for long-term kidney failure in patients with IgA nephropathy. This validation allows researchers to assess new treatments more quickly, potentially accelerating the development of therapies for this rare condition.

By Maillard, El Karoui, Mercer, Hunt, Carroll

#2392Medicine & HealthFront Page14 November 2025

Precision Dosing Promises to Revolutionise Chronic Skin Disease Treatment

Standard 'one-size-fits-all' dosing for powerful biologic drugs often fails patients with chronic skin conditions like psoriasis. Researchers are now championing a smarter strategy called model-informed precision dosing, which uses computer modelling and patient-specific data to create dynamic, personalised treatment plans, promising better results and fewer side effects.

By Eylenbosch, Wei, Soenen, Smith, Standing, Mahil, Lambert

#2393Medicine & HealthFront Page14 November 2025

Beyond the Spark: Atrial Fibrillation Remodels the Heart's Engine

A new study in horses reveals that persistent atrial fibrillation, a common heart rhythm disorder, is not just an electrical problem. Researchers found the condition causes significant structural and metabolic remodelling in the heart's atrial chambers, with surprisingly few changes to the ion channels that govern electrical signals. This suggests that tackling these underlying physical changes, rather than solely the electrical disturbance, could be key to more effective treatments.

By Haugaard, Nissen, Schneider, Birk, Carstensen, Hopster‐Iversen, Altıntaş, Barrès, Kjøbsted, Wojtaszewski, Herum, Jespersen, Buhl

#2394Computer Science & AIFront Page19 November 2025

Deep Learning Model Detects Depression via Speech Patterns with 99% Accuracy

Researchers have developed a sophisticated artificial intelligence system capable of diagnosing depression solely by analysing voice recordings. By cleaning audio data and employing a specialised neural network optimized by a 'battle royale' algorithm, the method achieved a remarkable 99.26 per cent accuracy rate.

By Ashok Kumar, Domala, Sajjan, Bhadavath, Jadapalli, Vemula

#2395NeuroscienceFront Page25 November 2025

Tiny Cellular 'Packages' May Reveal the Secrets of Migraine Auras

Researchers have analysed the protein cargo of tiny particles called extracellular vesicles released by neurons during cortical spreading depolarization. The findings reveal that neurons undergo complex structural and metabolic adaptations during migraine events, potentially offering a new way to track the condition via biomarkers.

By Sever-Bahcekapili, Cakir-Aktas, Güler, Onat, Solgun, Şahin, Belder, Erdener, Salih, Dalkara

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