Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
Emerging Concepts in Cytokine Regulation of Airway Remodeling in Asthma. [PDF]
Latayan J, Akkenapally SV, Madala SK.
europepmc +1 more source
HAMPAO-SPECT of the brain and ocular microangiopathic syndrome in patients infected with the human immunodeficiency virus type 1 [PDF]
Bogner, Johannes R.+7 more
core
Artificial Intelligences: A Bridge Toward Diverse Intelligence and Humanity's Future
Many discussions of artificial intelligence fail to address deeper questions being raised by advances in developmental biology, neuroscience, bioengineering, and philosophy of mind. Novel beings, including technologically and biologically augmented humans, engineered life forms, hybrots, and others, require tools of the emerging field of diverse ...
Michael Levin
wiley +1 more source
Large animal models of pressure overload-induced cardiac left ventricular hypertrophy to study remodelling of the human heart with aortic stenosis. [PDF]
Beslika E+3 more
europepmc +1 more source
This study proposes RefineCatDiff, a refinement framework for high‐quality medical image segmentation. By developing a categorical distribution‐based discrete diffusion process for refinement, the framework aligns well with the characteristics of image segmentation tasks. Experimental results on multiple datasets across different modalities demonstrate
Feng Liu+8 more
wiley +1 more source
Targeting USP25 in the Heart: A Promising Therapeutic Strategy for Obesity-Associated Heart Disease? [PDF]
Zhang H.
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
May-Thurner Syndrome and Malignancy-Associated Deep Venous Thrombosis: A Case of Successful Treatment with Endovascular Therapy. [PDF]
Shin CS, Kim JI, Yoo KC.
europepmc +1 more source