Results 201 to 210 of about 1,011,171 (338)

AI‐Assisted Design and Evaluation of SLM‐Ti64 Implants for Enhanced Bone Regeneration

Advanced Healthcare Materials, EarlyView.
AI‐driven simulations of biological healing, combining biomechanical modeling and machine learning, enable personalized orthopedic treatments. By decoding healing patterns influenced by implants and patient‐specific factors, this approach advances fracture repair understanding, optimizes implant design, and supports precision medicine and sustainable ...
Muhammad Usama Zaheer, Muhammad Hassan Razzaq, Mehmet Fatih Aycan, Yogendra Kumar Mishra   +3 more
wiley   +1 more source

ChromoCheck: Predicting Postnatal Chromosomal Trisomy Cases Using a Support Vector Machine Learning Model. [PDF]

Genes (Basel)
Al-Mahrami N, Al Jabri N, Sallam AAW, Al Jahdhami N, Zadjali F.   +4 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

Fibrillar Bundles as Fibrous Filler Materials for Attaining Cell Anisotropy in Bioprinting

Advanced Healthcare Materials, EarlyView.
Fibrillar bundles are introduced as a bioprintable additive that enables robust and scalable cellular alignment within 3D constructs through flow‐induced orientation during extrusion. These fibers support strong cell adhesion and polarization across various cell types and significantly enhance myotube alignment in Gelatine‐Methacryloyl (GelMA ...
Sven Heilig, Zan Lamberger, Lys Sprenger, Vivien Priebe, Camilla Mussoni, Denitsa Docheva, Kristina Andelovic, Jürgen Groll, Sahar Salehi, Gregor Lang, Matthias Ryma   +10 more
wiley   +1 more source

Multifractal analysis and support vector machine for the classification of coronaviruses and SARS-CoV-2 variants. [PDF]

Sci Rep
Correia JP, Silva LRD, Silva R.
europepmc   +1 more source

The crisis early warning of the quality of supply chain based on rough set&feature weighted support vector machine [PDF]

, 2017
Xiulian Hu, Dan Liu, Qi Jiang
openalex   +1 more source

Giving It a Twist: One‐Step Fabrication of Aligned Biomimetic Yarn Scaffolds via Rotational Melt Electrofibrillation

Advanced Healthcare Materials, EarlyView.
Due to its multifunctionality, replicating the fibrillar and supramolecular architecture of Collagen I is gaining increasing priority in regenerative medicine. Using rotational Melt Electrofibrillation, we present a powerful method to accurately mimic the ultrastructure of Collagen with polycaprolactone, enabling the one‐step fabrication of three ...
Zan Lamberger, Vivien Priebe, Philipp Stahlhut, Kristina Andelovic, Girish Pattappa, Denitsa Docheva, Sven Heilig, Heike M. Hermanns, Taufiq Ahmad, Jürgen Groll, Gregor Lang, Matthias Ryma   +11 more
wiley   +1 more source

Prediction of solitary ≤3-cm small adrenal metastasis based on ¹⁸F-FDG PET/CT using a support vector machine model in lung cancer. [PDF]

Oncol Lett
Zhao L, Cai H, Li J, Zhao W, Liu Y, Cao L.   +5 more
europepmc   +1 more source

A New Family of Ternary Intermetallic Compounds with Dualistic Atomic Ordering – The ZIP Phases

Advanced Materials, EarlyView.
The ZIP phases are ternary intermetallic compounds with dualistic atomic ordering, i.e., they exhibit one face‐centered cubic (fcc; space group Fd3¯$\bar 3$m) variant and one hexagonal (space group P63/mmc) variant. The ZIP phases in the Nb‐Si‐Ni system are the Nb3SiNi2 (fcc) and Ni3SiNb2 (hexagonal) ternary IMCs, crystal structure schematics of which ...
Matheus A. Tunes, Sean M. Drewry, Franziska Schmidt, James A. Valdez, Matthew M. Schneider, Caitlin A. Kohnert, Tarik A. Saleh, Saryu Fensin, Stuart A. Maloy, Cláudio G. Schön, Sylvain Dubois, Omri Tabo, Anna Eyal, Amit Keren, Asaf Pesach, Ganesh K. Nayak, Stavros‐Richard G. Christopoulos, Marco Molinari, Marcus Hans, Nick Goossens, Shuigen Huang, Jochen M. Schneider, Per O. Å. Persson, Jozef Vleugels, Konstantina Lambrinou   +24 more
wiley   +1 more source

Entanglement detection with quantum support vector machine (QSVM) on near-term quantum devices. [PDF]

Sci Rep
Mahdian M, Mousavi Z.
europepmc   +1 more source