Results 171 to 180 of about 2,364,133 (250)
Extrusion‐based 3D printing of silicones and discrete electronic components are combined to create cortical implants for rodents that integrate thermal neuromodulation and electrical recording. Linked to an autonomous auxiliary driver unit, the system enables rapid, stable and localized hypothermia alongside ECoG recording.
Spencer Ryan Moore +6 more
wiley +1 more source
Nascent Extracellular Matrix Converts Biomaterial Cues into Cell Fate Decisions
This study uncovers a tri‐directional interplay among cells, hydrogels, and their nascent extracellular matrix. Hydrogel norbornene modification alters CD44‐mediated cell–hydrogel interactions, which shape nascent matrix deposition, composition, and spatial organization.
Joshua Y. Liu +12 more
wiley +1 more source
Continuous molecular monitoring using electrochemical aptamer‐based sensors enables real‐time tracking of dynamic biomarkers with transformative potential for precision medicine. Achieving clinically relevant month‐long stability remains a central challenge due to multiple degradation pathways.
Shibo Liu, Xiangling Li, Wei Ouyang
wiley +1 more source
Bioenergetic Materials for Tissue Regeneration: Modulating Metabolism to Promote Cellular Anabolism
Bioenergetic materials (BEMs) modulate cellular metabolism to promote tissue regeneration. Their principal mechanisms of action include metabolic substrate supplementation, metabolic enzyme modulation, organelle transfer, electrical current regulation, redox homeostasis modulation, and oxygen tension modulation.
Yuchen He +7 more
wiley +1 more source
In this nationwide survey of 1967 members of the Japanese Society of Gastroenterological Surgery, 66% reported experiencing workplace harassment, and 56% of those affected had considered leaving surgical practice. These findings highlight the need for sustained, society‐wide efforts to prevent harassment and foster respectful and psychologically safe ...
Keisuke Kurimoto +10 more
wiley +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source

