Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Agenda-driven opinion mills, designed more to sway public opinion than serve the public, might be harder to spot if AI is used to make them sound more original and rational. So the race is on to stay ...

Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by ...

Researchers developed a blood test that spots ALS with 90% accuracy. The 46-gene panel could cut diagnostic delays that now ...

The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

ECG Signal (raw) │ Preprocessing - Standardization (Z-score normalization) - Trim length to be divisible by 8 - Reshape to (timesteps × 1 channel) │ 1D CNN Autoencoder ├── Encoder (Conv1D + MaxPooling ...

Introduction Prescribing high-dose antipsychotics is typically reserved for individuals with treatment-resistant severe ...

Abstract: Among all types of cancer, Lung cancer has more mortality rate. Hence early detection of it may help in in increasing the life span of the patient. Histopathological images with computerised ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

As part of its commitment to improving the understanding of Classification within the Paralympic Movement, the IPC provides a free, open access online course. Whether you’re an Athlete, coach, ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...