Results 251 to 260 of about 1,043,746 (297)

A Sacrificial 3D Printed Vessel‐on‐Chip Demonstrates a Versatile Approach to Model Granulation Tissue

Advanced Healthcare Materials, EarlyView.
A novel method that combines 3D printing and organ‐on‐chip technology enables the creation of hollow channels lined with endothelial cells through a fibroblast‐populated connective tissue matrix. The model supports stable metabolic culture conditions, angiogenic sprouting, and immune cell migration, thereby demonstrating an easy and versatile method to
Jonas Jäger, Phil Berger, Andrew I. Morrison, Hendrik Erfurth, Maria Thon, Eva‐Maria Dehne, Susan Gibbs, Jasper J. Koning   +7 more
wiley   +1 more source

Forecasting Influenza Epidemics and Pandemics in the Age of AI and Machine Learning. [PDF]

Rev Med Virol
Kamyshnyi O, Halabitska I, Oksenych V, Kamyshna I, Petakh P, Kainov DE.   +5 more
europepmc   +1 more source

Microphysiological Systems of Lymphatics and Immune Organs

Advanced Healthcare Materials, EarlyView.
This review surveys recent progress in engineering lymphatic microenvironments and immune organoids within microphysiological systems, emphasizing innovative strategies to recreate the biochemical and biophysical complexity of native lymphatic tissues.
Ishita Jain, Ankur Singh, Andrés J. García   +2 more
wiley   +1 more source

Machine Learning of Cardiac Anatomy and the Risk of New-Onset Atrial Fibrillation After TAVR

Mark Brahier, Shwetha Kochi, Julia Huang, Emma Piliponis, Andrew Smith, Adam Johnson, Suraya Poian, Musa Abdulkareem, Xiaoyang Ma, Colin O. Wu, Jonathan P. Piccini, Steffen E. Petersen, Jose D. Vargas   +12 more
openalex   +2 more sources

Smart Catheters for Diagnosis, Monitoring, and Therapy

Advanced Healthcare Materials, EarlyView.
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman, Samiha Ahmed, Majed Othman Althumayri, Megan Guy, Darlenne Chavez Lugo, Frances S. Ligler, George T. Ligler, Rahmi Oklu, Hiroshi Kawahira, Michael J. McShane, Jun Kameoka, Jonathan Bova, Hatice Ceylan Koydemir   +12 more
wiley   +1 more source

Correction: Machine learning on a smartphone-based CPT for ADHD prediction. [PDF]

Front Psychiatry
Casals N, Larsson S, Hansen M.
europepmc   +1 more source

A Machine Learning-Guided Study of Structure-Reactivity Relationships in Diels-Alder Cycloadditions. [PDF]

J Org Chem
Mahdian A, Farshadfar K, Laasonen K.
europepmc   +1 more source

Evaluating the impact of point-biserial correlation-based feature selection on machine learning classifiers: a credit card fraud detection case study

Ahmed A. H. Alkurdi, Renas Rajab Asaad, Saman M. Almufti‎, Nawzat S. Ahmed   +3 more
openalex   +2 more sources