Latest AI and machine learning research in ophthalmology for healthcare professionals.
To develop a deep learning framework, RPEGENE-Net, capable of predicting gene expression profiles of retinal pigment epithelium (RPE) cells using live-cell microscopy images. A dataset of live-cell images of RPE cells, treated with various drug regimens and captured at magnifications of 40x, 100x, 200x, and 400x, was used. Gene expression of six key genes involved in epithelial-mesenchymal transit...
Advancements in transmission electron microscopy (TEM) have enabled in-depth studies of biological specimens, offering new avenues to large-scale imaging experiments with subcellular resolution. Mitochondrial structure is of growing interest in cancer biology due to its crucial role in regulating the multi-faceted functions of mitochondria. We and others have established the crucial role of mitoch...
Next-generation drug discovery and functional genomics require rapid, unbiased single-cell profiling at scale—demands that exceed the limited speed, t...
The rapid evolution of machine learning (ML) methods has yielded promising results in human brain neuroscience. However, the reproducibility of ML app...
Spatial transcriptomics (ST) enables the simultaneous measurement of gene expression and spatial localization within tissue sections, providing unprec...
Glioblastoma (GBM), the most aggressive primary brain tumor in adults, exhibits profound treatment resistance and poor prognosis. Despite advances in ...
Diffusion magnetic resonance imaging is a non-invasive neuroimaging technique that enables in vivo evaluation of white matter microstructure, providin...
Accurate retinal Microvascular segmentation demands a balanced combination of anatomical fidelity and hemodynamic relevance. However, existing methods...
Large rare copy number variants (CNVs) are a main source of genetic variation in the genome and are important in both evolution and disease risk. CNVs...
The perception and production of regular geometric shapes, a characteristic trait of human cultures since prehistory, has unknown neural mechanisms. B...
A target-specific bait dispenser is required for oral bait vaccination of the endangered Tasmanian devil (Sarcophilus harrisii) against the deadly dev...
When sampling visual information from the environment, humans execute fast sequential saccadic eye movements and yet preserve stability in their visua...
Animals actively engage with their environment to gather information, continuously shaping both their sensory input and behavior. Understanding this c...
The purpose of this study is to develop and evaluate an attention-guided deep learning model using the multicolor imaging module of Spectralis Optical...
The perception of opportunities and threats in complex visual scenes represents one of the main functions of the human visual system. The underlying n...
The light/dark box test can be used to assess visual function in rodents based on their spontaneous behavior in response to light. Commonly used assay...
Tracking prey or recognizing a lurking predator is as crucial for survival as anticipating their actions. To guide behavior, the brain must extract in...
Integrating linguistic and visual information is a core function of human cognition, yet how information from these two modalities interacts in the br...
Self-tuning—the ability of disordered systems to develop desired collective behaviors by tuning internal couplings in response to feedback—has recentl...
Genomic technology advancements have facilitated associations between genetic variants and disease risk. Rare deleterious variants can independently i...