Results 191 to 200 of about 2,675,143 (333)

Mitochondrial Transplantation as a Therapeutic Strategy for Inherited Mitochondrial Diseases

Advanced Science, EarlyView.
Mitochondrial transplantation (MTx) offers a promising therapeutic avenue for mitochondrial diseases. This review comprehensively evaluates MTx, differentiating its feasibility for mtDNA‐ and nDNA‐based disorders. It examines its potential for genetic correction, alongside inherent limitations, technical challenges, and crucial ethical considerations ...
Parmeshar Singh, Amir Tahavvori, Cyrus E. Kuschner, Blanca B. Espin, Jacob Kazmi, Sofhia V. Ramos, Tai Yin, Kei Hayashida, Kanako Ito‐Hagiwara, Yusuke Endo, Keitaro Yoshioka, Jun Hagiwara, Avijot Sohi, Alisha Oropallo, Ghania Haddad, Timmy Li, Lance B. Becker, Junhwan Kim   +17 more
wiley   +1 more source

Artificial intelligence–based diagnosis of diabetic kidney disease using urinary VOC biosensor data

Kreepala, Chatchai, Anakkamatee, Watcharapong, Pechbooranin, Anawin   +2 more
openalex   +1 more source

Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors

Advanced Electronic Materials, EarlyView.
The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár, Tímea Nóra Török, János Volk, Roland Kövecs, László Pósa, Péter Balázs, György Molnár, Nadia Jimenez Olalla, Zoltán Balogh, János Volk, Juerg Leuthold, Miklós Csontos, András Halbritter   +12 more
wiley   +1 more source

Artificial intelligence-enhanced electrocardiography for the prediction of future chronic kidney disease [PDF]

Libor Pastika, Konstantinos Patlatzoglou, Ewa Sieliwończyk, Joseph Barker, Boroumand Zeidaabadi, Kathryn A. McGurk, Sadia Khan, William R. Scott, J S Ware, Nicholas S. Peters, Daniel B. Kramer, Jonathan W. Waks, Arunashis Sau, Fu Siong Ng   +13 more
openalex   +1 more source

Revising Fascial Anatomy With a Focus on the Fusion Fascia in Mesenteric Gastrointestinal Cancer Surgery

Annals of Gastroenterological Surgery, EarlyView.
This review critically reassesses our prior hypothesis and proposes a revised anatomical model of the fusion fascia that is broadly applicable to GI cancer surgeries grounded in the principles of mesenteric resection. Our synthesis suggests that the fusion fascia is neither a dense connective tissue membrane nor a remnant of mesothelial fusion, but ...
Hisashi Shinohara, Yasunori Kurahashi, Jun Watanabe, Yuichi Nagakawa, Tatsuro Nakamura, Eiichiro Nakao, Yudai Hojo, Shugo Kohno, Motoki Murakami, Yoshinori Ishida   +9 more
wiley   +1 more source

WCN25-901 CLINICAL AND GENETIC CHARACTERISTICS CHILDREN WITH PROTEINURIA ASSOCIATED WITH CUBN VARIANTS

Kidney International Reports
Larisa Prikhodina, Svetlana Papizh, Varvara Obukhova, Ekaterina Stolyarevich   +3 more
doaj   +1 more source

Integrating Artificial Intelligence into Chronic Kidney Disease Care: Enhancing Hemodialysis Scheduling, Comorbidity Management, and Diagnostic Capabilities

Raniah I. Alnaser, Mohammed N. Abed, Fawaz A. Alassaf, Mohammad Harith Alsaaty   +3 more
openalex   +2 more sources

AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing

Advanced Intelligent Discovery, EarlyView.
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley   +1 more source

Oppositional Gravitational Search Algorithm and Artificial Neural Network-based Classification of Kidney Images

, 2018
S. M. K. Chaitanya, P. Rajesh Kumar
openalex   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source