Results 211 to 220 of about 1,147,666 (317)

Advanced Oral Delivery Systems for Nutraceuticals

Advanced Healthcare Materials, EarlyView.
Emerging delivery technologies are explored to overcome barriers to oral nutraceutical absorption. Traditional carriers are compared with novel platforms including biodegradable polymers, MOFs, MPNs, and 3D printing. These systems enhance bioavailability, control release, and enable personalized nutrition.
Xin Yang, Linzixuan Zhang, Zhiling Zheng, Robert Langer, Ana Jaklenec   +4 more
wiley   +1 more source

Network intrusion detection model using wrapper based feature selection and multi head attention transformers. [PDF]

Sci Rep
Umer M, Tahir M, Sardaraz M, Sharif M, Elmannai H, Algarni AD.   +5 more
europepmc   +1 more source

Periodontal Disease Detection with Machine Learning Technology From Radiographic Images : An Interdisciplinary Study Of Dentistry and Computer Science

Yusra Fadhillah, Ade Ismail Abdul Kodir, Muhammad Noor Hasan Siregar   +2 more
openalex   +1 more source

Membrane Fusion‐Inspired Nanomaterials: Emerging Strategies for Infectious Disease and Cancer Diagnostics

Advanced Healthcare Materials, EarlyView.
Membrane fusion‐inspired nanomaterials offer transformative potential in diagnostics by mimicking natural fusion processes to achieve highly sensitive and specific detection of disease biomarkers. This review highlights recent advancements in nanomaterial functionalization strategies, signal amplification systems, and stimuli‐responsive fusion designs,
Sojeong Lee, Khulan Nyamzaya, Jueun Han, Yejin Song, Jihee Lee, Jung Hyun Jo, Seungmin Bang, Eun‐Kyung Lim, Seungjoo Haam, Eunjung Kim   +9 more
wiley   +1 more source

A roadmap of artificial intelligence applications in pediatric surgery: a comprehensive review of applications, challenges, and ethical considerations. [PDF]

Pediatr Surg Int
Duci M, Bossi A, Uccheddu F, Fascetti-Leon F.   +3 more
europepmc   +1 more source

Interstitial N‐Strengthened Copper‐Based Bioactive Conductive Dressings Combined with Electromagnetic Fields for Enhanced Wound Healing

Advanced Healthcare Materials, EarlyView.
This study developed a nitrogen‐strengthened copper‐iron‐zinc (N‐CuFeZn) alloy bioactive dressing integrated with electromagnetic stimulation. The coaxial dressing, made from 0.04 mm filaments with 1120 MPa tensile strength, showed that electromagnetic activation enhanced therapeutic outcomes by increasing VEGF expression, promoting angiogenesis (2.1 ...
Xiaohui Qiu, Xianrui Wu, Shaohua Wang, Jie Gu, Senhao Ying, Jiaohao Mo, Chen Jing, Huiliang Cao, Zhongchang Wang, Jianda Zhou   +9 more
wiley   +1 more source

RGB image dataset for okra maturity classification to enhance agricultural quality and market readiness. [PDF]

Data Brief
Bharathi NK, Fj F, S S.
europepmc   +1 more source

Differential Phase Contrast Imaging to Predict MSC Immune Function

Advanced Healthcare Materials, EarlyView.
This work employs quantitative differential phase contrast (qDPC) imaging technique to non‐invasively extract morphological features from live Mesenchymal Stromal Cells (MSCs) for single cell prediction on cell immunomodulatory capacity. This work establishes a foundation for scalable, non‐destructive monitoring of MSCs immunomodulatory capacity ...
Kejie Rui, Priyanka Priyadarshani, Adrian Ross Liversage, Carlos Munoz, Steven Stice, Luke J. Mortensen   +5 more
wiley   +1 more source

Multiscale Profiling of Nanoscale Metal‐Organic Framework Biocompatibility and Immune Interactions

Advanced Healthcare Materials, EarlyView.
A multi‐scale, hierarchical ‘Safety‐by‐Design’ pipeline combining machine learning, ex vivo human blood assays, and in vivo models enables the systematic immunotoxicity and biocompatibility profiling of nanoscale metal‐organic frameworks, accelerating their safe clinical translation. Abstract The clinical translation of metal‐organic frameworks (MOFs) –
Yunhui Zhuang, Bárbara B. Mendes, Dhruv Menon, Jhenifer Oliveira, Xu Chen, Fatma Demir Duman, João Conniot, Sergio Mercado, Xiewen Liu, Shi‐Yuan Zhang, João Conde, Rachel E. Hewitt, David Fairen‐Jimenez   +12 more
wiley   +1 more source

Machine learning approaches for predicting the link of the global trade network of liquefied natural gas. [PDF]

PLoS One
Zhao P, Song H, Ling G.
europepmc   +1 more source