Results 191 to 200 of about 24,671,802 (285)
This review examines the potential of in vivo direct reprogramming in regenerative medicine for functional tissue restoration, highlighting the role of tissue‐resident cues in generating functionally mature reprogrammed cells from lineage‐related cells. It contains a discussion on mechanisms, reprogramming factors, delivery approaches, and applications
Rishabh Deo Singh +2 more
wiley +1 more source
Subhepatic retained appendiceal tip harbouring adenocarcinoma: a surgeon's dilemma. [PDF]
Owusu-Ansa I +6 more
europepmc +1 more source
From Sensing Mechanisms to System Co‐Design: Graphene‐Based Sensors and Readout Circuits
This review establishes a unified PS–EQ–RF framework linking graphene sensing mechanisms, native electrical outputs, and output‐specific readout circuits. Voltage‐, current‐, resistance‐, and capacitance‐type sensing systems are systematically classified to guide architecture selection, low‐noise design, system co‐design, and practical integration ...
Jinduo Zhang +5 more
wiley +1 more source
Paediatric Root Canal Treatment With General Anaesthetic: A Multi-Centre Evaluation. [PDF]
Simpson L +5 more
europepmc +1 more source
This study establishes a universally applicable framework for vesicle surface analysis by combining engineered amyloid‐β‐displaying nanovesicles with machine‐learning‐optimized impedance spectroscopy. Equivalent‐circuit modeling reveals that membrane capacitance correlates with the surface protein states, enabling label‐free quantification of vesicle ...
Jaeyoon Song +5 more
wiley +1 more source
LiteFreqMamba:lightweight frequency-enhanced Mamba for efficient 3D brain tumor segmentation. [PDF]
Hou X, Yao J, Li Q, Xu C, Dong W.
europepmc +1 more source
An in situ dual‐mode platform integrates fusogenic liposomes with localized autocatalytic DNA circuits for plasma‐derived extracellular vesicle microRNA analysis. Following membrane fusion, target miRNAs trigger feedback‐assisted LECHA amplification inside intact vesicles, generating fluorescence and electrochemical outputs. Machine learning integrates
Wenbin Li +15 more
wiley +1 more source
This study integrates rice immune perception, signal transduction, and resistance output into a multi‐omics framework. By combining high‐throughput sequencing, phenomics, and AI‐assisted design with marker‐assisted selection, gene editing, and rapid domestication, we aim to accelerate the precise breeding of disease‐resistant rice varieties by ...
Xinyue Hou +4 more
wiley +1 more source

