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Synthesis of Methotrexate-Loaded Dumbbell-Shaped Titanium Dioxide/Gold Nanorods Coated with Mesoporous Silica and Decorated with Upconversion Nanoparticles for Near-Infrared-Driven Trimodal Cancer Treatment

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ACS Applied Materials and Interfaces 2023年第28期15卷 33335-33347页

作者： Dash, Pranjyan Thirumurugan, Senthilkumar Tseng, Ching-Li Lin, Yu-Chien Chen, Sung-Lung Dhawan, Udesh Chung, Ren-Jei Taipei10608 Taiwan Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University Taipei110 Taiwan International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei110 Taiwan Research Center of Biomedical Device College of Biomedical Engineering Taipei Medical University Taipei110 Taiwan International Ph.D. Program in Cell Therapy and Regenerative Medicine College of Medicine Taipei Medical University Taipei110 Taiwan Centre for the Cellular Microenvironment Division of Biomedical Engineering James Watt School of Engineering Mazumdar-Shaw Advanced Research Centre University of Glasgow GlasgowG116EW United Kingdom Taipei10608 Taiwan

This study prepared dumbbell-shaped titanium dioxide (TiO2)/gold nanorods (AuNRs) coated with mesoporous silica shells (mS) (AuNRs-TiO2@mS). Methotrexate (MTX) was further loaded into the AuNRs-TiO2@mS, and then upconversion nanoparticles (UCNPs) were decorated to form AuNRs-TiO2@mS-MTX: UCNP nanocomposites. TiO2 is used as an intense photosensitizer (PS) to produce cytotoxic reactive oxygen species (ROS), leading to photodynamic therapy (PDT). Concurrently, AuNRs exhibited intense photothermal therapy (PTT) effects and photothermal conversion efficiency. In vitro results suggested that these nanocomposites can kill oral cancer cells (HSC-3) without toxicity through irradiation of NIR laser, owing to the synergistic effect. The in vivo studies indicated that these nanocomposites exhibited excellent antitumor effects through synergistic PDT/PTT/chemotherapy under a near-infrared (NIR) 808 nm laser irradiation. Thus, these AuNRs-TiO2@mS: UCNP nanocomposites have great potential to undergo deep tissue penetration with enhanced synergistic effects through NIR-triggered light for cancer treatment. © 2023 American Chemical Society

关键词： Titanium dioxide

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Characterization of Ozone-Ethylene Radical Pretreatment for Hybrid Bonding without Water Rinsing Processes

Characterization of Ozone-Ethylene Radical Pretreatment for ...

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2024 International 3D Systems Integration Conference, 3DIC 2024

作者： Tanaka, Bungo Shino, Tatsunori Murugesan, Mariappan Tanaka, Tetsu Fukushima, Takafumi Graduate School of Biomedical Engineering Tohoku University Sendai Japan Meiden Nanoprocess Innovations Inc. Chiba Japan NICHe Tohoku University Sendai Japan Graduate School of Biomedical Engineering Graduate School of Engineering Tohoku University Sendai Japan NICHe Graduate School of Engineering Graduate School of Biomedical Engineering Tohoku University Sendai Japan

ISBN: (纸本)9798331516505

An Ozone-Ethylene Radical (OER) generation technology can produce a highly active oxidizing agent of OH radicals by mixing an unsaturated hydrocarbon gas with a highly concentrated ozone gas. The OH radicals given by the OER treatment are expected to be used as a prospective surface hydrophilization technique without water rinsing. In this study, we investigate the effectiveness of the surface treatment technology OER on hybrid bonding with thermally grown SiO2, CVD-SiCN, and PVD-Cu thin films by water contact angle (WCA), AFM, and XPS. N2 plasma activation is also used before the OER treatment for comparison. OER drastically reduces the WCA of the SiCN thin films compared to the SiO2 thin film. The AFM analyses found that the surface roughness of the dielectric films is kept after the OER treatment, whereas OER slightly increases the surface roughness of Cu. XPS results suggest that the OER treatment acts on the SiO2 nitrided by N2 plasma to form Si-OH, and in addition, Cu(OH)2 becomes dominant after OER processing. On the other hand, hydrophilic Cu2O mainly occupies the Cu surface before the OER treatment. Furthermore, the OER treatment on SiCN enhances oxygen composition, suggesting that OER yields more Si-OH groups by OH radicals. These results indicate that OER is a useful pretreatment method for hybrid bonding. © 2024 IEEE.

关键词： Free radicals

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Additively Manufactured Ultrasonic Osteotomy Inserts for Improved Temperature Control and Tissue Preservation 52

Additively Manufactured Ultrasonic Osteotomy Inserts for Imp...

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52nd Annual Ultrasonic Industry Association Symposium, UIA 2024

作者： Okaya, Oskar F. Burger, Juergen Hofmann, Martin School of Biomedical and Precision Engineering Graduate School for Cellular and Biomedical Sciences University of Bern Bern Switzerland School of Biomedical and Precision Engineering University of Bern Bern Switzerland

Compared to conventional osteotomy tools, ultrasonic systems have the advantage of being tissue selective, making them an interesting alternative for osteotomies performed in the vicinity of critical anatomical structures such as nerves and blood vessels. Despite this advantage, ultrasonic osteotomy systems have comparatively slow cutting speeds and may cause elevated temperatures during cutting, which could lead to thermally-induced tissue necrosis. To investigate and overcome these limitations, the viability of using additive manufacturing of 316L stainless steel was tested to develop different thin-profile osteotomy inserts featuring alternative cooling strategies. Seven different insert designs were successfully manufactured and tested at a frequency of 23 kHz with displacement amplitudes of up to 42 μm peak-to-peak. Furthermore, a test bench to evaluate cutting performance was developed, allowing for force-controlled continuous and discontinuous cutting in both linear and angled configurations with simultaneous localized temperature measurements using thermocouples. Initial cutting tests were performed on synthetic bone tissue using a selection of the developed inserts at forces of up to 30 N. Evaluating the effectiveness of internal cooling channels on reducing cutting temperature and the influence of insert blade tip shape and serrations on cutting efficiency are the focus of ongoing research. © 2024 UIA.

关键词： Thermocouples

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Early Diagnosis of Osteoporosis: An Artificial Intelligence-Based Framework 7

Early Diagnosis of Osteoporosis: An Artificial Intelligence-...

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7th International Conference on Advances in biomedical engineering, ICABME 2023

作者： Zaylaa, Amira J. Daher, Alaa Ayache, Mohammad Omeirat, Niveen Mahmoud, Razane Hawili, Bader Abou Beirut Arab University Biomedical Engineering Laboratory Biomedical Engineering Program Electrical and Computer Engineering Faculty of Engineering Lebanon

ISBN: (纸本)9798350325850

Osteoporosis is a common disease characterized by low bone density and structural deterioration of bone tissue. For a successful course of treatment and fracture avoidance, early diagnosis of this disease is essential. The aim was to provide a novel method for osteoporosis prediction using Artificial Intelligence (AI)-based framework. The purpose was to predict the likelihood of osteoporosis based on the Bone Mineral Density (BMD), along with other characteristics such as age, weight, height, gender, and Body Mass Index (BMI) extracted from medical reports and images collected from a comprehensive medical center in Lebanon. Three machine-learning algorithms were implemented and tested, Logistic Regression (LR), Support Vector Machines (SVM), and Decision Trees (DT). Variety of quantitative statistical metrics were used to evaluate the performance of our framework, upon training and testing our algorithms. The metrics that were employed to evaluate our results included accuracy, precision, sensitivity, and F-score, in addition to the Receiver Operating Characteristic (ROC) Curve and the Area Under the Curve (AUC). Experimental Results demonstrated that both the SVM and LR algorithms achieved the highest accuracy of detection of osteoporosis as compared to existing algorithms applied in this field, with an accuracy of 89%. The sensitivity of diagnosis obtained was 98% by LR and 97% by SVM and surpassed the sensitivity obtained by DT. As such LR showed the best performance. The output of the algorithms could help medical doctors assess patients automatically. These findings demonstrated the potential of AI in osteoporosis prediction and thus prevention, highlighting the significance of early diagnosis. Thereby as a future prospect, choosing carefully the framework is crucial and additional algorithms have to be considered and tested. © 2023 IEEE.

关键词： Decision trees

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Comparison of Machine Learning Models for Prediction of In-Hospital Adverse Outcomes after Percutaneous Coronary Intervention 9

Comparison of Machine Learning Models for Prediction of In-H...

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9th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science, BCD 2024

作者： Chanmanacharoen, I-Ruk Jampa-Ngern, Sira Senavongse, Wongwit The Graduate School Srinakharinwirot University Department of Biomedical Engineering Nakhon Nayok Thailand Srinakharinwirot University Faculty of engineering Department of Biomedical Engineering Nakhon Nayok Thailand

ISBN: (纸本)9798350394191

Cardiovascular disease is a non-communicable disease that is one of the leading causes of mortality worldwide, and its prevalence is growing year after year. Most cardiovascular diseases require percutaneous coronary intervention (PCI) to remove blood vessel blockages, However, this therapy carries risks of adverse outcomes, such as in-hospital bleeding and mortality. Currently, machine learning is widely used in prediction and decision-making support for clinicians. According to the above reasons, this study demonstrates using and comparing four common machine learning algorithms to predict in-hospital bleeding and in-hospital mortality outcomes. Finally, this study found that the XGBoost model accomplished the most outstanding in-hospital bleeding and mortality results. The performance of in-hospital bleeding shows Accuracy of 0.987 (95% CI: 0.980 - 0.994). In-hospital mortality shows Accuracy of 0.972 (95% CI: 0.962 - 0.982). © 2024 IEEE.

关键词： Contrastive Learning

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Navigating micro- and nano-motors/swimmers with machine learning: Challenges and future directions

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ChemPhysMater 2024年第3期3卷 273-283页

作者： Jueyi Xue Hamid Alinejad-Rokny Kang Liang School of Chemical Engineering and Australian Centre for NanoMedicine UNSW SydneySydneyNSW 2052Australia UNSW BioMedical Machine Learning Laboratory The Graduate School of Biomedical EngineeringUNSW SydneyRandwickNSW 2052Australia The Graduate School of Biomedical Engineering UNSW SydneyRandwickNSW 2052Australia

Micro-/nano-motors(MNMs)or swimmers are minuscule machines that can convert various forms of energy,such as chemical,electrical,or magnetic energy,into *** devices have attracted significant attention owing to their potential application in a wide range of fields such as drug delivery,sensing,and ***,owing to their diverse shapes,sizes,and structural/chemical compositions,the development of MNMs faces several challenges,such as understanding their structure-function relationships,which is crucial for achieving precise control over their motion within complex *** recent years,machine learning techniques have shown promise in addressing these challenges and improving the performance of *** learning techniques can analyze large amounts of data,learn from patterns,and make predictions,thereby enabling MNMs to navigate complex environments,avoid obstacles,and perform tasks with higher efficiency and *** review introduces the current state-of-the-art machine learning techniques in MNM research,with a particular focus on employing machine learning to understand and manipulate the navigation and locomotion of ***,we discuss the challenges and opportunities in this field and suggest future research directions.

关键词： Micro/nano-motors Active matter Machine learning Reinforcement learning

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Wearable Pocket-Sized Fully Noncontact biomedical Eddy Current Sensor for Simultaneous Cardiac and Lung Monitoring

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IEEE Transactions on Instrumentation and Measurement 2024年 73卷 1-13页

作者： Hsu, Dong-Yu Sung, Yen-Ling Ni, Shih-Hua Huang, Chiu-Yun Huang, Yu-Xiang Lyu, En-Zhu Chen, Chun-Hsien Wang, Ting-Wei National Tsing Hua University Department of Biomedical Engineering and Environmental Sciences Hsinchu300044 Taiwan Taipei Medical University Graduate Institute of Biomedical Optomechatronics New Taipei City235603 Taiwan

Continuous monitoring of heart rate (HR) and respiratory rate (RR) plays a pivotal role in evaluating cardiopulmonary coordination. Wearable technologies have empowered long-term monitoring of cardiopulmonary parameters across a spectrum of activities, including physical exercise, mental states, dietary habits, and the effects of pharmaceutical interventions. This study presents a wearable pocket-sized cardiopulmonary sensor based on biomedical eddy current sensing technology. The novel sensor utilizes the magnetic coupling between ac coil-produced magnetic fields and cardiopulmonary eddy current-induced counteracting magnetic fields to measure resonant frequency variation in response to synchronized cardiac and lung activities without skin contact. The proposed pocket-sized sensor is characterized by its compact form with a diameter of 4.53 cm and supporting wireless data transmission. Importantly, the influence of resonant frequencies on cardiopulmonary signals was investigated through capacitor adjustments, resulting in personalized optimization of measurement conditions. In practical applications, the effect of wide fabric thicknesses on measurement performance was assessed, demonstrating identifiable signals for allowing the determination of HR and RR. In real-life scenarios, HR and RR were measured during both resting and physical exercise conditions, effectively showcasing the potential of a single compact sensor to capture essential cardiorespiratory coordination (CRC) indicators. These findings provide strong validation for the novel sensor's promising potential in the realm of wearable, long-term, all-in-one cardiopulmonary healthcare. © 1963-2012 IEEE.

关键词： Electromagnetic induction

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Influence of Biomimetic Apatite Coating on the Biobehavior of TiO_(2)Scaffolds

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Journal of Bionic engineering 2024年第4期21卷 1975-1986页

作者： Shima Mahtabian Seyed Mehdi Mirhadi Nahid Hassanzadeh Nemati Melika Sharifi Fariborz Tavangarian Department of Biomedical Engineering University of DelawareNewarkDE19716USA Department of Ceramic Engineering Islamic Azad University(Shahreza Branch)ShahrezaIsfahan86145-311Iran Department of Biomedical Engineering Islamic Azad University(Science and Research Branch)TehranIran Mechanical Engineering Program School of ScienceEngineering and TechnologyPennsylvania State UniversityHarrisburgMiddletownPA17057USA Department of Materials Science&Engineering Islamic Azad University(Najaf Abad Branch)Najaf AbadIsfahan***Iran Biomedical Engineering Department Pennsylvania State UniversityState CollegeUniversity ParkPennsylvania16802USA

Immersion of scaffolds in Simulated Body Fluid(10SBF)is a standardized method for evaluating their bioactivity,simulating in vivo conditions where apatite deposits can be formed on the surface of scaffold,facilitating bone integration and ensuring their suitability for bone implant purposes,ultimately contributing to long-term implant *** effect of apatite deposition on bioactivity and cell behavior of TiO_(2)scaffolds was *** were soaked in 10SBF for different durations to form HAP layer on their *** results proved the development of a hydroxyapatite film resembling the mineral composition of bone Extracellular Matrix(ECM)on the TiO_(2)*** XRD test findings showed the presence of hydroxyapatite layer similar to bone at the depth of 10 nm.A decrease in the specific surface area(18.913 m^(2)g^(−1)),the total pore volume(0.045172 cm^(3)g^(−1)(at p/p0=0.990)),and the mean pore diameter(9.5537 nm),were observed by BET analysis which confirmed the formation of the apatite *** was found that titania scaffolds with HAP coating promoted human osteosarcoma bone cell(MG63)cell attachment and *** seems that immersing the scaffolds in 10SBF to form HAP coating before utilizing them for bone tissue engineering applications might be a good strategy to promote bioactivity,cell attachment,and implant fixation.

关键词： Titania Hierarchical meso/macro porous 10SBF Biomimetic apatite Coating

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CHITOSAN-COLLAGEN COMPOSITE SCAFFOLDS FOR GROWTH DIRECTION GUIDANCE OF PC12 AXONS

CHITOSAN-COLLAGEN COMPOSITE SCAFFOLDS FOR GROWTH DIRECTION G...

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ASME 2024 International Design engineering Technical Conferences and Computers and Information in engineering Conference, IDETC-CIE 2024

作者： Tsai, Po-Yu Lin, Ying-Ting Wang, Gou-Jen Graduate Institute of Biomedical Engineering National Chung-Hsing University Taichung Taiwan PhD Program in Tissue Engineering and Regenerative Medicine National Chung-Hsing University Taichung Taiwan Department of Mechanical Engineering Graduate Institute of Biomedical Engineering National Chung-Hsing University Taichung Taiwan

ISBN: (纸本)9780791888421

In this study, nerve conduits of chitosan and collagen composites with biocompatibility and biodegradability were fabricated. The effects of material composition and surface morphology on the axonal growth and directionality of rat epinephric pheochromocytoma PC12 were investigated. The cells were separated by a PDMS structure to simulate nerve injury, and the growth of axons of PC12 cells was observed under the separation of large gaps. At the same time, mitochondria extracted from osteosarcoma cybrid cells (C2-GFP) were added to the culture to investigate the effect of healthy mitochondria on axon differentiation and growth. The experimental results showed that the chitosan-collagen composite film can promote the growth of PC12 axons more effectively than the pure chitosan film. Cell culture results at different groove widths also showed that smaller grooves resulted in more axon numbers and longer axon lengths. Nerve injury simulation experiments showed that the nerve repair could be almost completed after 12 days of culture. Copyright © 2024 by ASME.

关键词： Mitochondria

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A Novel SERS Substrate Containing Silver Nanoparticle-Deposited Photoresist Microcone Array for Sensitive Biosensing

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IEEE Sensors Journal 2024年第2期24卷 1398-1404页

作者： Lin, Ying-Ting Wang, Sheng-Hsiang Tseng, Yu-Hsin Lin, Ze-Cheng Chen, Jyun-Tu Chang, Cheng-Chung Wang, Gou-Jen National Chung Hsing University Program in Tissue Engineering and Regenerative Medicine Taichung40227 Taiwan National Chung Hsing University Department of Mechanical Engineering Taichung40227 Taiwan Graduate Institute of Biomedical Engineering National Chung Hsing University Taichung40227 Taiwan

In this study, we developed a novel surface-enhanced Raman scattering (SERS) substrate formed by depositing silver nanoparticles (AgNPs) on a silver thin film-coated photoresist (PR) microcone array. The semiconductor photolithographic process was adopted for fabricating the PR microcone array. The hotspot enhancement effect of the SERS substrates was optimized by adjusting the concentration of the trisodium citrate, which was used as a reducing agent and a stabilizing agent for the synthesis of AgNPs. Experimental results showed that the proposed SERS substrate could detect the indicating peaks of Rhodamine 6G (R6G) at a relatively low concentration of 10-12 M. A standard detection curve for HbA1c detection with a linear detection range of 5000-20000 ng/mL with good linearity of 0.994 and a limit of detection (LOD) of 850.2 ng/mL was further established by adding HbA1c agent to artificial blood to simulate a real environmental condition. Recovery rate detection experiments confirmed the reproducibility of the established standard detection curve. © 2001-2012 IEEE.

关键词： Silver nanoparticles

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