Results 11 to 20 of about 713 (106)

Efficacy, safety and cost‐effectiveness of CAR‐T therapy

British Journal of Clinical Pharmacology, EarlyView.
CAR T‐cells demonstrate high efficacy in blood cancers, including ALL, MM and DLBCL. Innovations target solid tumours despite challenges such as antigen escape. Combination therapies enhance the delivery and infiltration of CAR T cells. Toxicity, cost and resistance remain major barriers to clinical use.
Emina Karahmet Sher, Amina Džidić‐Krivić, Emma Pinjic, Nejra Selak, Kanita Omerbasic, Alexandar Chupin, Andrej Belancic, Almir Fajkic   +7 more
wiley   +1 more source

Agentic AI and Circular Procurement Performance: An Empirical Study

Business Strategy and the Environment, EarlyView.
ABSTRACT Organizations that practice circular procurement in this rapidly changing world face many uncertainties. However, emerging digital technologies, such as agentic AI, can help manage resources and improve responsiveness to better serve both internal and external customers.
Surajit Bag, Susmi Routray, Andrea Chiarini, Rasem Qudaih   +3 more
wiley   +1 more source

Nail Toxicities Associated With Anticancer Therapies in Children

JEADV Clinical Practice, EarlyView.
ABSTRACT Nail toxicities are a frequent yet often underrecognized component of dermatologic adverse events in children receiving anticancer therapies. Both conventional cytotoxic chemotherapy and newer targeted agents can affect the nail matrix, nail bed and periungual tissues, producing a broad spectrum of clinical manifestations that range from ...
Luca Rapparini, Michela Starace
wiley   +1 more source

Long‐term outcomes of haploidentical hematopoietic stem cell transplantation with antithymocyte globulin–based myeloablative conditioning in pediatric refractory or relapsed non‐Hodgkin lymphoma

Pediatric Investigation, EarlyView.
Single‐center retrospective data showed that ATG‐based myeloablative haploidentical hematopoietic stem cell transplantation provides durable remission and favorable long‐term survival in children with refractory/relapsed non‐Hodgkin lymphoma, achieving high engraftment rates, low relapse incidence, and acceptable toxicity.
Chenguang Jia, Jie Zheng, Meng Yuan, Hongbo He, Yibo Fan, Bin Wang, Guanghua Zhu, Jun Yang, Yanhui Luo, Lixiao Cai, Pan Zhang, Yanlong Duan, Maoquan Qin   +12 more
wiley   +1 more source

Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling, Maxwell Hogan, Abdulla Tammam, Nabil Aouf   +3 more
wiley   +1 more source

Organizing across cognitive asymmetry in human–AI collaboration: A study of perfume creation

Strategic Management Journal, EarlyView.
Abstract Research Summary As organizations increasingly adopt generative AI (GenAI), they face a strategic challenge: not only deciding which tasks AI should perform, but also how to organize the integration of human and AI efforts to produce viable solutions.
Tomoko Yokoi, Daniella Laureiro‐Martinez, Federico Magni, Stefano Brusoni   +3 more
wiley   +1 more source

Liquid Crystal Polymers as Intrinsically Magnetic and Programmable Soft Materials for Microrobotics

Small, EarlyView.
Liquid crystal polymers (LCPs) are proposed as intrinsically magnetic, programmable, soft materials for microrobotics. Magnetic torque‐driven manipulation of LCP microobjects is achieved and characterized in terms of the step‐out frequency, reaching ∼0.6 Hz in a ∼250 mT magnetic field. The orientation of LCP microobjects in the magnetic field and their
Alexandra Gruzdenko, Ignacio Becerra Osorio, Max de Sain, Albert P. H. J. Schenning, Jaap M. J. den Toonder, Michael G. Debije   +5 more
wiley   +1 more source

Reinforcement Learning With Timed Constraints for Robotics Motion Planning

Artificial Intelligence for Engineering, EarlyView.
This work presents a unified automata‐based reinforcement learning framework that enforces MITL time‐bounded task specifications in both MDPs and POMDPs. Results from grid‐world and office scenarios show robust policy learning under stochastic dynamics and partial observability.
Zhaoan Wang, Junchao Li, Mohammad Mahdi Dehghan Pir, Shaoping Xiao   +3 more
wiley   +1 more source

MultiRobot Motion Planning Based on Diffusion and Time–Space Path Planning

Artificial Intelligence for Engineering, EarlyView.
This diffusion‐based framework for multirobot motion planning reuses a pretrained single‐robot Motion Planning Diffusion model, employing an alternating trajectory generation scheme guided by inter‐robot collision costs, resulting in coordinated planning without additional multi‐robot training.
Tianle Zhang, Sheng‐Jen Hsieh, Cheng Niu   +2 more
wiley   +1 more source

Boosting Embodied Visual Localisation Through Multi‐Granular Semantics and Multi‐Robot Consensus

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Achieving high accuracy and synergy remains extremely difficult for multi‐robot embodied visual localisation, which suffers from persistent real‐world challenges such as viewpoint ambiguity, appearance variation and dynamic occlusion. Conventional optimisation‐based methods often lead to incorrect feature matching without domain adaptation ...
Wenshuai Wang, Shiyu Liu, Peifeng Jiang, Hong Liu, Runwei Ding   +4 more
wiley   +1 more source