Results 191 to 200 of about 2,160,666 (255)
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla +4 more
wiley +1 more source
Corruption distance and equity strategies in cross-border M&As: The moderating roles of political connections. [PDF]
Li X.
europepmc +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Accountable Care Organization Assignment and Outcomes and Spending for TEAM Surgical Conditions.
Berlin NL +7 more
europepmc +1 more source
WE economy: Potential of mutual aid distribution based on moral responsibility and risk vulnerability. [PDF]
Kato T.
europepmc +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Using home hospital to drive innovation within TEAM. [PDF]
Pathak K, Tsai TC, Berlin NL.
europepmc +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Comparative Osteoinductive Potential of BMP-2, Bioactive Glass, and Demineralized Bone Matrix: An In Vitro Alkaline Phosphatase Assay Study. [PDF]
Chin KR +10 more
europepmc +1 more source
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk +4 more
wiley +1 more source

