Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
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Psychological outcomes and changes in health-related quality of life in young and middle-aged patients with first-onset stroke after rehabilitation training. [PDF]
Han C, Yu D, Sun X, Liang Z.
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The study presents a low‐cost, noninvasive system for real‐time neonatal respiratory monitoring. A flexible, screen‐printed sensor patch captures chest movements with high sensitivity and minimal drift. Combined with machine learning, the system accurately detects breathing patterns and offers a practical solution for neonatal care in low‐resource ...
Gitansh Verma +3 more
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Too drained to help? How work overload fuels psychological strain and why proactive personality functions as a buffer. [PDF]
Wei Z, Wang J, Gao Q.
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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
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The relationship between anxiety and parent-child attachment and psychological resilience among Chinese college students: take 100 thousand college students as sample. [PDF]
Li Z +6 more
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The Jump‐Enhancing Textile Suit integrates the Pneumatic Energy‐Storing Propulsion Actuator (PESPA) and the Triarticular Kinetic‐Chained Structure (TKiCS). PESPA stores elastic energy under pneumatic pressure and releases it during the propulsive phase to augment movement.
Sunghun Kim +5 more
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Coping strategies among family caregivers of community-dwelling older adults in Lebanon amid the economic crisis. [PDF]
Barakat Z +6 more
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This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
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Who is more trustworthy? The influence mechanism of AI vs. human doctor triage on user trust: testing the mediating effect of psychological distance, and a multiple moderating effects analysis. [PDF]
Chen J, Wang H, Qiu X.
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