Results 101 to 110 of about 723,870 (293)

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Utilizing decision tree machine learning model to map dental students’ preferred learning styles with suitable instructional strategies

BMC Medical Education
Background Growing demand for student-centered learning (SCL) has been observed in higher education settings including dentistry. However, application of SCL in dental education is limited.
Lily Azura Shoaib, Syarida Hasnur Safii, Norisma Idris, Ruhaya Hussin, Muhamad Amin Hakim Sazali   +4 more
doaj   +1 more source

A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study

Scientific Reports, 2017
Accurate prediction of graft survival after kidney transplant is limited by the complexity and heterogeneity of risk factors influencing allograft survival.
Kyung Don Yoo, Junhyug Noh, Hajeong Lee, Dong Ki Kim, Chun Soo Lim, Young Hoon Kim, Jung Pyo Lee, Gunhee Kim, Yon Su Kim   +8 more
doaj   +1 more source

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl   +2 more
wiley   +1 more source

Novel Bioconjugate Materials: Synthesis, Characterization and Medical Applications

Advanced Healthcare Materials, EarlyView.
This review discusses the bioconjugation of novel materials grouped under “biological”, “hybrid” and “synthetic” categories. Medical applications ranging from cancer therapy and diagnostics to optogenetics and tissue engineering are explored, and conjugation trends are highlighted as a general guide. The review concludes with a comparison of techniques
Ellie Martin, Sean P. Doidge, Eiman Aleem, Suela Kellici, Steven Dunn, Claire Atkinson, Philip D. Howes   +6 more
wiley   +1 more source

Nephrotoxicity Development of a Clinical Decision Support System Based on Tree-Based Machine Learning Methods to Detect Diagnostic Biomarkers from Genomic Data in Methotrexate-Induced Rats [PDF]

, 2023
İpek Balıkçı Çiçek, Cemil Çolak, Saim Yoloğlu, Zeynep Küçükakçalı, Onural Özhan, Elif Taşlıdere, Nefsun Danis, Ahmet Koç, Hakan Parlakpınar, Sami Akbulut   +9 more
openalex   +1 more source

Norbornene Homopolymerization Limits Cell Spreading in Thiol–Ene Photoclick Hydrogels

Advanced Healthcare Materials, EarlyView.
Thiol–norbornene click reactions are often used in the development of cell‐permissive 3D hydrogels. However, ene–ene crosslinks in other thiol–ene systems are known to limit permissivity. This study demonstrates the negative effects of norbornene homopolymerization on 3D cell spreading and circumvents the issue by modulating polymer degree of ...
James L. Gentry, Steven R. Caliari
wiley   +1 more source

Software Defect Prediction Using Extreme Gradient Boosting(XGBoost) with Tune Hyperparameter [PDF]

Al-Rafidain Journal of Computer Sciences and Mathematics
Software applications have become widely spread in an unprecedented manner in our daily lives, controlling some of the most sensitive and critical aspects within institutions. Examples include automated systems such as traffic control, aviation, and self-
Tariq AL-Hadidi, Safwan Omar Hasoon
doaj   +1 more source

A Novel Microfluidic System for 3D Epidermis and Full‐Thickness Skin Growth for Nanoparticle Safety Assessment

Advanced Healthcare Materials, EarlyView.
This work presents a novel, dynamically perfused, configurable microfluidic system for epidermis‐only (E and full‐thickness skin (FT SoC) growth, emulating human skin structure and barrier function. Upon TiO2 nanoparticle exposure, the system reveals compromised barrier integrity, reduced metabolic activity, increased permeability, and chemokine‐driven
Samantha Costa, Ana B. Carneiro, Filipa Lebre, João Meneses, Alar Ainla, Cacilda Moura, Ernesto Alfaro‐Moreno, Ana R. Ribeiro   +7 more
wiley   +1 more source

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