Results 181 to 190 of about 2,986,386 (301)

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Agreement in Staging and Treatment Recommendations Among Clinicians, Text-Only Clinicians, DeepSeek-V3, and ChatGPT-4o for Nasopharyngeal Carcinoma Patients. [PDF]

Cancer Med
Lin S, Zhang C, Zhong F, Liao X, Gong L, Wang D.   +5 more
europepmc   +1 more source

AI for L&D - eBook

AI in L&D - A Comprehensive Guide to Transformation and Growth eBook Step into the future of learning with AI. Explore its role in revolutionizing workflows, creating innovative eLearning and boosting learning quality.
Gupta, Garima
core  

A Worm‐Inspired Origami Robot with Multimodal Locomotion for Adaptive Mobility in Complex Pipeline Environments

Advanced Science, EarlyView.
An origami worm‐inspired robot achieves multimodal locomotion in confined pipelines through mechatronic integration that embeds actuation, control, and communication within each origami module. Large, reversible configuration and dimensional changes enable 25 gaits synthesized by a unified framework across peristaltic, inchworm, and wheel‐rolling modes
Qiwei Zhang, Kangning Tan, Zihan He, Hongsen Pang, Yanjie Wang, Hongbin Fang, Jian Xu   +6 more
wiley   +1 more source

How Following Medical Artificial Intelligence Advice Can Mitigate Malpractice Liability: Cross-National Insights from a Randomized Trial. [PDF]

J Nucl Med
Tacconelli A, Merane J, Nielsen A, Tobia K, Hackanson B, Stremitzer A.   +5 more
europepmc   +1 more source

AI in Healthcare: Era of Healthcare Innovation, Role, Current Issues, Challenges, Recommendations and Future Directions

The use of artificial intelligence (AI) in healthcare has revolutionized the field. The rapid progress in AI has resulted in the development of diagnostic, therapeutic, and intervention-based applications in the medical industry.
Vaigandla, K. (Karthik Kumar)
core  

Nanomaterials for Allergy Diagnosis and Treatment: Advances, Opportunities and Translational Challenges

Advanced Science, EarlyView.
Nanomaterials offer dual applications in allergy management. For diagnosis, nanomaterials enhance analytical sensitivity and improve detection in specific IgE and functional assays such as the basophil activation test (BAT). For allergen‐specific immunotherapy, nanomaterials enable allergen masking and controlled release, and effectively modulate the ...
Madiha Habib, Shan Jiang, Joyce ZX Lee, CW Lim, HL Yeung, Nicki YH Leung, Patrick SC Leung, Ting F Leung, Christine YY Wai   +8 more
wiley   +1 more source

Recommendations for Training Faculty in Generative AI Use: Crafting Higher-Order Application Exercises in Team-Based Learning. [PDF]

Clin Teach
Dalmeida D, Gomaa N, Prabhakar E.
europepmc   +1 more source

The State of AI Recommendations in Supplements

We analyzed 4,000 AI-generated supplement recommendations across 20 high-intent shopping prompts to determine whether AI systems recommend brands because their stores are AI-ready. The answer was largely no. Across 400 prompt runs, 371 distinct brands, and thousands of recommendations, Recommendation Frequency™ showed no meaningful relationship ...
openaire   +1 more source

Ultra‐Radiostable Covalent Conformationally Interlocked Networks Enabling a Universal Radiometal‐Labeling Platform for Cancer Radioembolization

Advanced Science, EarlyView.
Conjugated poly(imide dioxime)‐based microspheres establish a radiometal coordination‐driven conformational interlocked network with ultra‐high radiostability. This platform enables low‐temperature, multi‐radionuclide labeling for SPECT/PET/MRI imaging and radionuclide therapy. Mechanistic insights from EXAFS and DFT reveal enhanced stability, while in
Xiao Xu, Zhenwen Zhao, Yangjie Wang, Zhigang Liu, Zhijie Liu, Xiaoling Li, Zhichen Mao, Lu Xu, Gan Lin, Gang Liu, Hongjuan Ma   +10 more
wiley   +1 more source