Biomaterials, Год журнала: 2024, Номер 315, С. 122972 - 122972
Опубликована: Ноя. 22, 2024
Язык: Английский
Nano Biomedicine and Engineering, Год журнала: 2025, Номер unknown
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
2
Bone Research, Год журнала: 2025, Номер 13(1)
Опубликована: Март 17, 2025
Abstract Following the discovery of bone as an endocrine organ with systemic influence, bone-brain interaction has emerged a research hotspot, unveiling complex bidirectional communication between and brain. Studies indicate that brain can influence each other’s homeostasis via multiple pathways, yet there is dearth systematic reviews in this area. This review comprehensively examines interactions across three key areas: bone-derived factors on function, effects brain-related diseases or injuries (BRDI) health, concept skeletal interoception. Additionally, discusses innovative approaches biomaterial design inspired by mechanisms, aiming to facilitate through materiobiological aid treatment neurodegenerative bone-related diseases. Notably, integration artificial intelligence (AI) highlighted, showcasing AI’s role expediting formulation effective targeted strategies. In conclusion, offers vital insights into mechanisms suggests advanced harness these clinical practice. These offer promising avenues for preventing treating impacting skeleton brain, underscoring potential interdisciplinary enhancing human health.
Язык: Английский
Процитировано
1
Applied Sciences, Год журнала: 2024, Номер 14(15), С. 6590 - 6590
Опубликована: Июль 28, 2024
The importance of biomaterials lies in their fundamental roles medical applications such as tissue engineering, drug delivery, implantable devices, and radiological phantoms, with interactions biological systems being critically important. In recent years, advancements deep learning (DL), artificial intelligence (AI), machine (ML), supervised (SL), unsupervised (UL), reinforcement (RL) have significantly transformed the field biomaterials. These technologies introduced new possibilities for design, optimization, predictive modeling This review explores DL AI biomaterial development, emphasizing optimizing material properties, advancing innovative design processes, accurately predicting behaviors. We examine integration enhancing performance functional attributes biomaterials, explore AI-driven methodologies creation novel assess capabilities ML responses to various environmental stimuli. Our aim is elucidate pivotal contributions DL, AI, science potential drive innovation development superior It suggested that future research should further deepen these technologies’ application areas.
Язык: Английский
Процитировано
5
ACS Nano, Год журнала: 2024, Номер 18(50), С. 33792 - 33826
Опубликована: Дек. 3, 2024
Alzheimer's disease (AD) is a neurodegenerative that causes memory loss and progressive permanent deterioration of cognitive function. The most challenging issue in combating AD its complicated pathogenesis, which includes the deposition amyloid β (Aβ) plaques, intracellular hyperphosphorylated tau protein, neurofibrillary tangles (NFT), etc. Despite rapid advancements mechanistic research drug development for AD, currently developed drugs only improve ability temporarily relieve symptoms but cannot prevent AD. Moreover, blood–brain barrier (BBB) creates huge to delivery brain. Therefore, effective diagnostic tools treatments are urgently needed. In recent years, nanomedicine has provided opportunities overcome challenges limitations associated with traditional diagnostics or treatments. Various types nanoparticles (NPs) play an essential role diagnosis treatment acting as carriers targeting bioavailability across/bypass BBB directly on lesions. This review categorizes different NPs summarizes their applications It also discusses clinical explores latest developments prospects
Язык: Английский
Процитировано
4
Fundamental Research, Год журнала: 2024, Номер unknown
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
4
Nanomaterials, Год журнала: 2025, Номер 15(4), С. 264 - 264
Опубликована: Фев. 10, 2025
Nanoparticles have been widely used in cancer diagnostics and treatment research due to their unique properties. Magnetic nanoparticles are popular imaging techniques ability alter the magnetization field around them. Plasmonic mainly applied treatments like photothermal therapy convert light into heat. While these among respective fields, magnetic–plasmonic core–shell (MPNPs) gained popularity recent years combined magnetic optical properties from core shell. MPNPs stood out theranostics as a multimodal platform capable of serving contrast agent for imaging, guidable drug carrier, causing cellular ablation through energy conversion. In this review, we summarize different most common synthesis approaches. We particularly discuss applications diagnosis based on mechanisms using particles. Lastly, look current challenges they face clinical future perspectives detection therapy.
Язык: Английский
Процитировано
0
Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 160620 - 160620
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0
Analytical Chemistry, Год журнала: 2025, Номер unknown
Опубликована: Фев. 14, 2025
Detecting and quantifying mycotoxins using LFIA are challenging due to the need for high sensitivity accuracy. To address this, a dual-mode colorimetric-SERS was developed detecting deoxynivalenol (DON). Rhodium nanocores provided strong plasmonic properties as SERS substrate, while silver nanoparticles created electromagnetic "hotspots" enhance signal sensitivity. Finite element modeling optimized field intensity, Prussian blue generated distinct at 2156 cm-1, effectively reducing background interference. This achieved detection limit of 4.21 pg/mL, 37 times lower than that colloidal gold-based (0.156 ng/mL). Machine learning algorithms, including ANN KNN, enabled precise classification quantification contamination, achieving 98.8% accuracy an MSE 0.57. These results underscore platform's potential analyzing harmful substances in complex matrices demonstrate important role machine learning-enhanced nanosensors advancing technologies.
Язык: Английский
Процитировано
0
Analytical Chemistry, Год журнала: 2025, Номер unknown
Опубликована: Март 2, 2025
Early diagnosis and precise identification of breast cancer subtypes are vital. However, current detection methods often hindered by high costs complexity. This study aims to develop an efficient noninvasive method realize detection. First, hexoctahedral gold nanoparticles (Au HNPs) constructed, which detect molecules with concentrations as low 10–12 M, the EF value is ∼3.8 × 108. Then, two optical bioprobes a surface-enhanced Raman scattering (SERS)-fluorescence (FL) dual-modal function for cell subtype designed. These exhibit excellent SERS stability since spectral relative standard deviation (RSD) SERS-FL bioprobe achieves good level ∼10.4%. Additionally, clear distinction between cells white blood (WBCs) under fluorescence microscope showed that have imaging ability. More importantly, creatively stitching spectra bioprobes, "symphonic spectra" linear discriminant analysis (LDA) machine learning algorithm employed, enabling high-precision classification accuracy 94%. proposes innovative strategy combined FL technology, provides possibility rapid accurate subtypes.
Язык: Английский
Процитировано
0
ACS Biomaterials Science & Engineering, Год журнала: 2025, Номер unknown
Опубликована: Март 6, 2025
Nucleic acids, including DNA and RNA, have been used extensively as building blocks to construct sophisticated nanostructures through complementary base pairing with predetermined shapes sizes. With remarkable biocompatibility, spatial addressability, structural programmability, self-assembled nucleic acid biomaterials found widespread applications in various biomedical researches, drug delivery, bioimaging, or disease diagnosis. Notably, one of the representative nanostructures, origami has drawn much attention. In this review, we summarize latest developments DNA/RNA design based on single-stranded (ssDNA), double-stranded (dsDNA), RNA (ssRNA) scaffolds for a range applications, gene regulation, immunomodulation, receptor recognition. Additionally, challenges future opportunities will be discussed.
Язык: Английский
Процитировано
0