Results 141 to 150 of about 16,646 (238)

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
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, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Surgical Procedures for Planting and Revascularization in Catastrophic Hand Injuries and Preliminary Outcome Assessment: Experience of a Regional Care Center. [PDF]

Cureus
González-Vargas IZ, Regil-Juárez C, Salas-Treviño D, González-Cantú CM, Castro-Govea Y.   +4 more
europepmc   +1 more source

Neonatal Respiration Monitoring System with Synchronized Oxygen Supply and Machine Learning‐Based Breathing Classification

Advanced Intelligent Systems, EarlyView.
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, Eugen Koch, Andreas Dietzel, Shrutidhara Sarma   +3 more
wiley   +1 more source

Bridging and bonding: The roles of brokerage and closure in mobilizing support provision in online support groups. [PDF]

PLoS One
Lee S, Peng TQ.
europepmc   +1 more source

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

Advanced Intelligent Systems, EarlyView.
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, Lingyin Meng, Christer Borgfeldt, Jens Eriksson, Donatella Puglisi   +4 more
wiley   +1 more source

A Soft Wearable Robot for Vertical Jump Enhancement via a Pneumatic Energy‐Storing Propulsion Actuator and Triarticular Kinetic‐Chained Structure

Advanced Intelligent Systems, EarlyView.
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, HyukJun Seo, Hyeonjung Kim, Seung Ryeol Lee, Namho Kim, Dongjun Shin   +5 more
wiley   +1 more source

Using Real-time Reporting to Investigate Visual Experiences in Dreams. [PDF]

J Cogn Neurosci
Konkoly KR, Al-Youssef S, Mazurek CY, Mallett R, Morris DJ, Gales A, Arnulf I, Oudiette D, Paller KA.   +8 more
europepmc   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

Advanced Intelligent Systems, EarlyView.
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, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 more
wiley   +1 more source

Borderline Traits and the Simplification-Multidimensionality Tradeoff in Personality Profiling of Older Suicide Attempters: A Response to Satapathy and Zhao. [PDF]

Am J Geriatr Psychiatry
Szücs A, Wong MT, O'Brien EJ, Pankowska PK, Maier AB, Szanto K, Galfalvy H.   +6 more
europepmc   +1 more source

Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles

Advanced Intelligent Systems, EarlyView.
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin, Qian Li, Zhiwei Li, Xukai Zhai, Jinhui Gao   +4 more
wiley   +1 more source