Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome. ScienceDaily . Retrieved July 24, 2025 from www.sciencedaily.com / releases ...

Machine learning algorithm brings long-read sequencing to the clinic. ScienceDaily . Retrieved July 23, 2025 from www.sciencedaily.com / releases / 2025 / 05 / 250529124849.htm ...

Clinical Photographic Images: Deep learning algorithms such as DenseNet-169, ResNet-101, and EfficientNet-b4 have been employed to analyze clinical photographs of oral lesions.

By combining Raman spectroscopy with deep learning algorithms, scientists can differentiate between synthetic cannabinoids with greater ease. These synthetic drug compounds have emerged as a ...

Deep learning, a branch of artificial intelligence, has been applied to medical image analysis. Among deep learning techniques, ... Deep learning algorithms such as DenseNet-169, ...

Please use one of the following formats to cite this article in your essay, paper or report: APA. Cuffari, Benedette. (2025, April 07). Using Deep Learning for Brain Imaging Data Analysis.

Precision medicine is a fast-growing field whereby medical treatments are tailored to individual patients – taking factors like genetics and lifestyle into account. A key part of this process is ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social stability threat due to their structural diversity, rapid iteration, and stronger ...