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Time Series Foundation Models in Practice
Could time series foundation models improve the forecasting of district heating demand? In our offline study, we compared Chronos-2, TimesFM-2.5, and Moirai-2 with AutoARIMA, XGBoost, and other baselines across four real district heating grids. Chronos-2 produced the most accurate results, even in zero-shot settings without target-grid training data. We also examine data efficiency, fine-tuning, resilience to faulty sensor inputs, and operational reliability.

One Letter That Changes Everything: The Story of Sickle Cell Disease
A single mutation in the HBB gene causes sickle cell disease by changing the shape and function of red blood cells. This article explores the biology behind the disease, its connection to malaria, and how CRISPR gene editing therapies such as Casgevy and India’s Birsa‑101 aim to correct the mutation at its source.



























































































