Results 121 to 130 of about 146,484 (287)
Engineering CAR‐T Therapeutics for Enhanced Solid Tumor Targeting
CART cell therapy has proven effective for blood cancers but struggles with solid tumors due to diverse antigens and complex environments. Recent efforts focus on improving CAR design and validation platforms. Advances in protein engineering, machine learning, and organoid systems aim to enhance CAR‐T therapy against solid tumors.
Danqing Zhu+4 more
wiley +1 more source
KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis [PDF]
Integrating Large Language Models (LLMs) in healthcare diagnosis demands systematic frameworks that can handle complex medical scenarios while maintaining specialized expertise. We present KG4Diagnosis, a novel hierarchical multi-agent framework that combines LLMs with automated knowledge graph construction, encompassing 362 common diseases across ...
arxiv
State‐of‐the‐Art, Insights, and Perspectives for MOFs‐Nanocomposites and MOF‐Derived (Nano)Materials
Different approaches to MOF‐NP composite formation, such as ship‐in‐a‐bottle, bottle‐around‐the‐ship and in situ one‐step synthesis, are used. Owing to synergistic effects, the advantageous features of the components of the composites are beneficially combined, and their individual drawbacks are mitigated.
Stefanos Mourdikoudis+6 more
wiley +1 more source
Engineering Magnetotactic Bacteria as Medical Microrobots
Magnetotactic bacteria (MTB) are living microorganisms that produce magnetosomes for navigation using the Earth's geomagnetic field. Their built‐in magnetic components, along with their intrinsic and/or modified biological functions, make them one of the most promising platforms for making future living and programmable microrobots.
Jiaqi Wang+9 more
wiley +1 more source
Performance of Large Language Models in Supporting Medical Diagnosis and Treatment [PDF]
The integration of Large Language Models (LLMs) into healthcare holds significant potential to enhance diagnostic accuracy and support medical treatment planning. These AI-driven systems can analyze vast datasets, assisting clinicians in identifying diseases, recommending treatments, and predicting patient outcomes. This study evaluates the performance
arxiv
This review explores the integration of responsive materials and soft robotic actuators with implantable electronics to address key challenges in bioelectronic medicine. By enabling shape actuation, these technologies improve deployment, adaptability, and accuracy in minimally invasive procedures.
Chaoqun Dong, George G. Malliaras
wiley +1 more source
A case report of Mpox (Monkeypox) in male traveler
Salma AlBahrani+3 more
doaj
CliBench: A Multifaceted and Multigranular Evaluation of Large Language Models for Clinical Decision Making [PDF]
The integration of Artificial Intelligence (AI), especially Large Language Models (LLMs), into the clinical diagnosis process offers significant potential to improve the efficiency and accessibility of medical care. While LLMs have shown some promise in the medical domain, their application in clinical diagnosis remains underexplored, especially in ...
arxiv
Upconversion nanoparticle‐covalent organic framework core–shell particles provide enhanced contrast for optoacoustic imaging by leveraging the optical absorption of upconversion luminescence within the covalent organic framework matrix. Beyond their role as contrast agents, these particles enable customizable therapeutic agent loading and release, as ...
Dong Wook Kim+8 more
wiley +1 more source
Chronic eosinophilic pneumonia: clinical perspectives
Matthew Crowe,1 Drew Robinson,2 Malvika Sagar,3 Li Chen,4 Shekhar Ghamande1 1Department of Medicine, Division of Pulmonary and Critical Care, Baylor Scott and White Medical Center, Temple, TX, USA; 2Department of Medicine, Baylor Scott and White Medical
Crowe M+4 more
doaj