A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Tiny lab-grown “mini brains” are no longer just a futuristic curiosity. By capturing the electrical chatter of neurons in a ...

de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

See how machine learning is spotting Alzheimer’s years before symptoms begin—using brain scans to help guide earlier, more ...

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

A small group of people experience no pleasure from music despite normal hearing and intact emotions. Brain imaging reveals ...

Signal Enhancement: An acoustic-driven signal enhancement approach based on NeRF acoustic field modeling and nested generative networks supplements missing or incomplete EEG data through acoustic ...

AI在自然灾害预测和救灾资源优化中的作用，正从科幻走向现实。它不仅拯救生命，还推动可持续发展。面对不确定性，我们有理由乐观：通过理性运用科技，人类能更好地应对自然挑战。

Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and industrial quantum computing in 2025.