Results 151 to 160 of about 9,645 (257)

Endometriosis-Associated Infertility: A Review of Pathophysiological Mechanisms and Current Treatment Strategies. [PDF]

J Clin Med
Gniadek M, Porubenska A, Pełka K, Rzepkowska Z, Florjański J.   +4 more
europepmc   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Advanced maternal age and assisted reproductive technologies: outcomes, genomics, and real-world evidence. [PDF]

Front Reprod Health
Méndez-Vidal C, Fernández-Sánchez M, Domínguez-Moreno M, García-Díaz L, Dopazo J, Antiñolo G.   +5 more
europepmc   +1 more source

A Soft Robotic Device for Targeted Massage Therapy of Residual Limbs

Advanced Robotics Research, EarlyView.
Residual limb edema after amputation can hinder recovery and delay prosthetic fitting. This study presents a soft‐robotic wearable device that delivers sequential compression through pneumatic McKibben actuators. By replicating the principles of manual lymphatic drainage, the device generates controlled mechanotherapeutic pressure patterns, providing a
Maria Grazia Polizzotto, Alessio Capecchi, Maartje Van der Lingen, Emanuele Gruppioni, Arianna Menciassi, Linda Paternò   +5 more
wiley   +1 more source

The decision-making pathway and enablers to the utilization of assisted reproductive technology in Lagos metropolis: an interpretive phenomenological study. [PDF]

BMC Womens Health
Ajike SO, Asiegbu UC, Lawal SA, Nantamu S.   +3 more
europepmc   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Development and External Validation of Machine Learning Model to Predict Live Birth Following Assisted Reproductive Technology in Women with Ovarian Endometriomas: A Decision-Support Tool. [PDF]

Clin Epidemiol
Sun Y, Wang Z, Zhou J, Cui L, Wang H.
europepmc   +1 more source

Magnetic Micro‐ and Nanorobots for Precision Thrombolysis: Design Strategies and Translational Challenges

Advanced Robotics Research, EarlyView.
Micro‐ and nanorobots for targeted thrombolysis. This perspective elaborates on the clinical indication of blood clot disorders and current limitations for treatment. As a novel, alternative solution, micro‐ and nanorobots can be used to treat and break down thrombi.
Joshua M. Mesfin, Yimo Yan, Nikola Cesarovic, Simone Schuerle   +3 more
wiley   +1 more source

Effect of assisted hatching on pregnancy outcomes following 1,678,872 single embryo transfers based on the Japan Assisted Reproductive Technology Registry. [PDF]

Sci Rep
Kusamoto A, Harada M, Kawahara T, Koike H, Kunitomi C, Fukui Y, Sanada Y, Takahashi N, Matsuo M, Makabe T, Urata Y, Izumi G, Ooi N, Hiraike O, Osuga Y, Hirota Y.   +15 more
europepmc   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source