Results 191 to 200 of about 5,934,292 (233)

XTRUDE: A Process‐Informed Framework for High‐Fidelity Analysis of Hydrogel Extrusion

Advanced Functional Materials, EarlyView.
Extrusion performance emerges from the interplay between material properties and processing conditions. XTRUDE (eXTrusion Rheology for Understanding and Defining Extrudability) recreates the extrusion environment with in situ pressure and temperature sensing, enabling characteristic pressure signatures to quantify extrusion‐specific phenomena and ...
Farhad Sanaei, Pascal Bertsch, Juliette Lafosse, Sander C. G. Leeuwenburgh, Mani Diba   +4 more
wiley   +1 more source

Is it a Reliable Guide or a Source to be Approached with Caution? GenAI in Parents' Information Search Processes Regarding Their Children. [PDF]

Eur J Pediatr
Erol M, Erol A.
europepmc   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Moving targets: threat and uncertainty on the front line. [PDF]

Front Psychol
McCall C, Laycock A.
europepmc   +1 more source

Patient‐Derived 3D Heart‐On‐a‐Chip Model of Dilated Cardiomyopathy With Embedded Bead‐Based Mapping of Tissue Contractility

Advanced Healthcare Materials, EarlyView.
A heart‐on‐a‐chip model of dilated cardiomyopathy is developed from patient‐derived induced pluripotent stem cells. The model recapitulates key disease phenotypes and enables functional assessment through integrated bead‐based tracking and pillar deflection measurements.
Ali Mousavi, Ludovic Mouttet, Shihao Cui, Yasaman Hekmatnia, Mehran Mottahedi, Ida Derish, Naimeh Rafatian, Mark Aurousseau, Gregor Andelfinger, Renzo Cecere, Houman Savoji   +10 more
wiley   +1 more source

Teaching with human remains: curatorship, technological innovation and ethical engagement at the Morgagni Museum of Human Anatomy. [PDF]

Pathologica
Magno G, Zanatta A.
europepmc   +1 more source

Engineered Microvascular Model of the Blood–Brain–Tumor Barrier Reveals Endothelial Remodeling in Diffuse Midline Glioma

Advanced Healthcare Materials, EarlyView.
We developed a patient‐derived, functional microfluidic model of the diffuse midline glioma (DMG) blood–brain–tumor barrier (BBTB) comprised of endothelial cells, astrocytes, pericytes, and tumor cells. The system forms perfusable microvasculature, reveals the BBTB retains vascular integrity, identifies DMG‐specific transcriptomic changes distinct from
Kimberly R. Bennett, Yann S. Vanrobaeys, Tessy Teboh, Zakiya Smith, Anderson Scott, Cynthia Hajal, Paula T. Hammond, Joelle P. Straehla   +7 more
wiley   +1 more source

QR Codes in medical education: A mixed-method for evaluation of effectiveness and learner perception. [PDF]

Bioinformation
Singh P, Jain M, Dangi J.
europepmc   +1 more source

Water‐Activated Phospholipid Phase‐Separation Gel as an Immunomodulatory Anti‐Adhesion Barrier for Postoperative Adhesion Prevention

Advanced Healthcare Materials, EarlyView.
A water‐activated phospholipid phase‐separation gel is repurposed as a drug‐free surgical barrier for postoperative adhesion prevention. Propylene glycol promotes rapid lamellar gel reinforcement, prolonged local retention, and tissue coverage, while phosphatidylcholine‐mediated immunomodulation suppresses inflammatory and fibrotic responses. This dual‐
Jong‐Ju Lee, Yulseung Sung, Yeji Kim, Heesang Yang, Suyeon Pyo, Byeol Yun, Sung‐Joo Hwang   +6 more
wiley   +1 more source

Monitoring Health Status: Development and Preliminary Validation of a Personal Health Index Using the International Classification of Functioning, Disability and Health. [PDF]

JMIR Hum Factors
Rautiainen I, Parviainen L, Jakoaho V, Äyrämö S, Kauppi JP.   +4 more
europepmc   +1 more source