Results 111 to 120 of about 585,667 (306)
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Background Despite advances in simulator technology, live anaesthetised animals continue to be used as human patient simulators for medical professionals to practice techniques in the management of surgical trauma.
Cara Swain +5 more
doaj +1 more source
The rapid advancement of 3D printing technology has revolutionized the fabrication of microneedle arrays (MNAs), which hold great promise in biomedical applications such as drug delivery, diagnostics, and therapeutic interventions.
Mahmood Razzaghi +2 more
doaj +1 more source
Root protein interatomic network obtained from citrus seedlings subjected to water deficit : S08O03 [PDF]
Citrus Brazilian industry may be strongly affected by drought. Characterize rootstock behavior under different environmental conditions is crucial, since rootstocks may confer better adaption to environmental stresses.
Bonatto, Diego +7 more
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Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Comparison of vitamin C content in citrus fruits by titration and high performance liquid chromatography (HPLC) methods [PDF]
Vitamin C is one of the essential vitamins for human and animal. Many methods were developed for the determination of vitamin C such as spectrophotometry, electrophoresis, titration, and high performance liquid chromatography (HPLC).
Azlan, Azrina, Ramli, Fatin Najwa
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ABSTRACT Heavy metals in municipal waste incineration fly ash are potentially harmful to the ecological environment and human health. To mitigate the hazards of fly ash, this study attempts to detoxify fly ash through organic acid washing pretreatment coupled with cement/sodium diethyldithiocarbamate (DDTC) solidification.
Junfeng Pang +4 more
wiley +1 more source
Penambahan Sari Jeruk Nipis (Citrus Aurantifolia) terhadap Mutu Sirup Buah Kundur (Benincasahispida) [PDF]
The purpose of this research was to obtain the best ratio of bligo extracts and lime extracts in the manufacturing of syrup. This research used Complete Randomized Design (CRD) with four treatments and four replication which followed by Duncan's New ...
Efendi, R. '. (Raswen) +2 more
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