Results 281 to 290 of about 2,504,885 (377)
This study introduces a data augmentation method that expands an ophthalmology dataset by 12x, enhancing robustness and reducing overfitting. A novel VNet architecture improves accuracy by 10% over the original dataset and 5% over Grand Challenge benchmarks.
Samad Azimi Abriz+3 more
wiley +1 more source
ChatMolData: A Multimodal Agent for Automatic Molecular Data Processing
While large language models (LLMs) struggle with molecular data due to single‐modality limitations, ChatMolData—a multimodal agent for processing databases, images, structure files, and documents—is presented. It combines LLMs with tools for retrieval, structuring, prediction, visualization, and search, achieving > 90% accuracy across 128 tasks.
Yi Yu+5 more
wiley +1 more source
Research and development investments for biologics independently developed by US biotechnology startups, 2017-2023. [PDF]
Odouard IC+4 more
europepmc +1 more source
Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin+9 more
wiley +1 more source
Securing IoT Sensors Using Sharding-Based Blockchain Network Technology Integration: A Systematic Review. [PDF]
Aslam A+3 more
europepmc +1 more source
Hierarchical Superposition Framework Reveals the Complex Effects of Natural Medicine Formulas
A novel hierarchical superposition pharmacological model incorporates the principle of hierarchical structures from physics to simulate the spatiotemporal dynamics of drug combinations, to elucidate the universal law underlying drug combination effects. By modeling cross‐level causal transmission and attenuation, it advances beyond traditional additive
Weifeng Liang+3 more
wiley +1 more source
Appropriately Matching Transport Care Units to Patients in Interhospital Transport Care: Implementation Study. [PDF]
Hasavari S, Esmaeilzadeh P.
europepmc +1 more source
Adapting Image‐Based Models for 1D Data via Spider Plot Transformation and Transfer Learning
A novel method enables the use of pretrained image‐based neural networks for complex 1D data, including Raman and mid‐infrared spectra, electrocardiograms, and mass spectrometry. 2D spider plots with false‐color fill enable transfer lerning, therefore enhancing data augmentation and model explainability across diverse spectral and time series datasets.
Azadeh Mokari+2 more
wiley +1 more source