Nature

Mining imaging and clinical data with machine learning approaches for the diagnosis and early detection of Parkinson’s disease

Parkinson’s disease (PD) is a common, progressive, and currently incurable neurodegenerative movement disorder. The diagnosis of PD is challenging, especially in the differential diagnosis of ...
Phys.org

'Lensless' imaging through advanced machine learning for next generation image sensing solutions

A camera usually requires a lens system to capture a focused image, and the lensed camera has been the dominant imaging solution for centuries. A lensed camera requires a complex lens system to ...
Nature

Medical imaging deep learning with differential privacy

Artificial Intelligence (AI) is a heavily data-centric domain: the success of machine learning (ML) models depends on the quality and quantity of data that is available during training. This is ...
Labroots

Stretching the Limits of Microscopy Imaging with Deep Learning

Balance between spatial resolution, temporal resolution, and sample viability is key to extracting more data from your imaging experiments. The right deep learning model can extend and complement your ...
Frontiers

Physics-Informed Artificial Intelligence for Biomedical Sensing, Imaging, and Signal Interpretation

Recent advances in artificial intelligence have transformed biomedical sensing and imaging, yet many data-driven models remain limited by poor ...
Frontiers

Generative AI and Multimodal Learning for Early Gastric Cancer Detection Using Small, Imbalanced, and Heterogeneous Clinical Data

Gastric cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis ...