Article
Spectroscopy
Yan Wang, Hongyang Qian, Xiaoguang Shao, Heng Zhang, Shupeng Liu, Jiahua Pan, Wei Xue
Summary: We developed an artificial intelligence-assisted diagnosis model based on a convolutional neural network using surface-enhanced Raman spectroscopy (SERS) data from 729 patients with prostate cancer or benign prostatic hyperplasia (BPH). The accuracy of the CNN model in diagnosing prostate cancer was 85.14% and increased to 88.55% after adjusting for patient age and prostate specific antigen (PSA). The multimodal CNN also showed accuracies of 68% and 77% in distinguishing low-GS/high-GS and GS=3+3/GS=3+4, respectively.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Multidisciplinary Sciences
Jie Yang, Xiaomei Chen, Cainan Luo, Zhengfang Li, Chen Chen, Shibin Han, Xiaoyi Lv, Lijun Wu, Cheng Chen
Summary: This paper introduces a SERS technology based on annealed AgNPs/PSB composite substrate combined with deep learning algorithm for early identification and screening of immune diseases and chronic kidney diseases. The results show that this technology performs well in diagnosis and has great research value and development prospects.
SCIENTIFIC REPORTS
(2023)
Article
Spectroscopy
Hongyang Qian, Xiaoguang Shao, Heng Zhang, Yan Wang, Shupeng Liu, Jiahua Pan, Wei Xue
Summary: This study compared the diagnostic capacities of serum and serum-derived small extracellular vesicles (EV) in common urogenital cancer using Surface-enhanced Raman spectroscopy (SERS) and Convolutional Neural Networks (CNN). The results showed that EV-based SERS analysis had higher diagnostic capacities than serum-based SERS analysis.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Chemistry, Analytical
Wei Zhang, Weiwei Feng, Zongqi Cai, Huanqing Wang, Qi Yan, Qing Wang
Summary: This paper proposes a method using Raman spectroscopy combined with a one-dimensional convolutional neural network (1D-CNN) to accurately identify microplastics. The experimental results show that this method achieves the highest accuracies of 96.4% and 96.2% based on raw data and pre-processed data, respectively. Compared with K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Multi-layer Perceptron (MLP), and AlexNet classifiers, the proposed method has an average accuracy of 95.8% and 95.5% on raw data and pre-processed data, respectively. This study proves that Raman spectroscopy combined with 1D-CNN can effectively and accurately classify microplastics, regardless of whether the spectra data are pre-processed or not, and can further shorten the recognition time, providing a reference for future microplastics detection.
VIBRATIONAL SPECTROSCOPY
(2023)
Article
Chemistry, Applied
Jiaji Zhu, Xin Jiang, Yawen Rong, Wenya Wei, Shengde Wu, Tianhui Jiao, Quansheng Chen
Summary: In this study, surface-enhanced Raman spectroscopy (SERS) and deep learning models were used to detect zearalenone (ZEN) in corn oil. Gold nanorods were synthesized as a SERS substrate, and the collected SERS spectra were augmented to improve the generalization ability of regression models. Five regression models were developed, and the 1D CNN and 2D CNN models showed the best prediction performance. The proposed method offers an ultrasensitive and effective strategy for detecting ZEN in corn oil.
Article
Radiology, Nuclear Medicine & Medical Imaging
Sangwon Han, Jungsu S. Oh, Jong Jin Lee
Summary: This study evaluated the performance of deep learning classifiers for bone scans of prostate cancer patients using two different 2D convolutional neural network architectures. Results showed that the GLUE model outperformed the WB model in terms of classification accuracy, particularly in a limited training data setting.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2022)
Article
Urology & Nephrology
Jack R. Andrews, Mohamed E. Ahmed, Vidit Sharma, Cameron Britton, Bradley Stish, Ryan Phillips, A. Tuba Kendi, Vidhu B. Joshi, Akshay Sood, Mathew K. Tollefson, Stephen A. Boorjian, R. Jeffery Karnes, Eugene D. Kwon
Summary: This study characterizes the outcomes of metastasis-directed therapy without concurrent androgen deprivation therapy in patients with solitary metastatic lesions in prostate cancer. The results demonstrate that this approach can delay the initiation of systemic therapy and call for further prospective studies in patients with solitary recurrent prostate cancer metastases.
JOURNAL OF UROLOGY
(2022)
Article
Chemistry, Multidisciplinary
Ugur Parlatan, Mehmet Ozgun Ozen, Ibrahim Kecoglu, Batuhan Koyuncu, Hulya Torun, Davod Khalafkhany, Irem Loc, Mehmet Giray Ogut, Fatih Inci, Demir Akin, Ihsan Solaroglu, Nesrin Ozoren, Mehmet Burcin Unlu, Utkan Demirci
Summary: Researchers have developed a method that combines surface-enhanced Raman spectroscopy (SERS) with machine learning algorithms to classify extracellular vesicles (EVs) derived from different cell lines and determine their cellular origins. This machine learning-assisted SERS method allows for label-free investigation of EV preparations and differentiation between cancer cell-derived exosomes and healthy cell-derived exosomes, offering new avenues for early detection and monitoring of diseases.
Article
Spectroscopy
Yu Du, Lin Hu, Guohua Wu, Yishu Tang, Xiongwei Cai, Longfei Yin
Summary: This study demonstrated that serum Raman spectroscopy combined with a convolutional neural network model can be used for the diagnosis of gastric cancer, colon cancer, rectal cancer, and lung cancer. A Raman spectra database containing four types of cancer and healthy controls was established. The classification accuracy of the Raman spectra combined with the 1D-CNN model was 94.5%. Overall, Raman spectroscopy combined with the CNN model is an effective tool that can be used to distinguish different types of cancer from healthy controls.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Biochemical Research Methods
Krzysztof Szymonski, Katarzyna Skirlinska-Nosek, Ewelina Lipiec, Kamila Sofinska, Michal Czaja, Natalia Wilkosz, Matylda Krupa, Filip Wanat, Magdalena Ulatowska-Bialas, Dariusz Adamek
Summary: This study compared different methods of spectral analysis and proposed a new approach using CNN and PCA for classification and analysis of PC cells' cytoplasm and nuclei. The research found differences among PC subtypes and between the cytoplasm and nuclei of their cells. The study established an optimal methodology for cancer tissue spectral data classification and interpretation, allowing precise studies of cancer cells and their subcellular components.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2023)
Article
Urology & Nephrology
Frederik Wessels, Max Schmitt, Eva Krieghoff-Henning, Tanja Jutzi, Thomas S. Worst, Frank Waldbillig, Manuel Neuberger, Roman C. Maron, Matthias Steeg, Timo Gaiser, Achim Hekler, Jochen S. Utikal, Christof Von Kalle, Stefan Froehling, Maurice S. Michel, Philipp Nuhn, Titus J. Brinker
Summary: A new digital biomarker based on CNN analysis of primary tumor tissue was developed for predicting lymph node metastasis in prostate cancer patients. With 10 trained models, an average AUROC of 0.68 and balanced accuracy of 61.37% was achieved. The CNN probability score and lymphovascular invasion were identified as independent predictors for LNM.
Article
Oncology
Sebastien Thureau, Vincent Marchesi, Marie-Helene Vieillard, Lionel Perrier, Albert Lisbona, Marianne Leheurteur, Jean Tredaniel, Stephane Culine, Bernard Dubray, Naima Bonnet, Bernard Asselain, Julia Salleron, Jean-Christophe Faivre
Summary: SBRT combined with standard care treatment may improve progression-free survival in solid tumor patients with up to 3 bone-only metastases. A multicenter randomized phase III trial will recruit 196 patients to investigate the efficacy of this treatment approach.
Article
Chemistry, Analytical
Shixiang Yu, Xin Li, Weilai Lu, Hanfei Li, Yu Vincent Fu, Fanghua Liu
Summary: The study introduces two new methods for efficient and accurate identification of pathogens in seafood and the environment, combining Raman spectroscopy with LSTM neural networks. Experimental results show that these methods are faster and more accurate than traditional methods, providing insights for developing deep learning methods to analyze complex Raman data.
ANALYTICAL CHEMISTRY
(2021)
Article
Computer Science, Interdisciplinary Applications
Bao-Luo Li, Yu Qi, Jian-Sheng Fan, Yu-Fei Liu, Cheng Liu
Summary: Crack identification is crucial for preventive maintenance of asphalt pavement. This paper describes a fusion model based on the YOLO v5 that combines grid-based classification and box-based detection, achieving high accuracy and efficiency. The proposed NMS-ARS algorithm improves crack topology detection through postprocessing. Experimental results demonstrate the effective automatic crack identification for asphalt pavement.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Oncology
Daniel J. Herr, David A. Elliott, Gillian Duchesne, Kristian D. Stensland, Megan E. V. Caram, Christina Chapman, Jennifer A. Burns, Brent K. Hollenbeck, Jordan B. Sparks, Chris Shin, Alexander Zaslavsky, Alexander Tsodikov, Ted A. Skolarus
Summary: This study aims to examine the 10-year clinical outcomes of patients with localized prostate cancer undergoing radiation therapy within a national healthcare system. The results showed improved survival rates for high-risk disease, providing important benchmarks for clinical decision-making.
Article
Nanoscience & Nanotechnology
Guang Zeng, Xiao-Xi Li, Yu-Chun Li, Ding-Bo Chen, Yu-Chang Chen, Xue-Feng Zhao, Na Chen, Ting-Yun Wang, David Wei Zhang, Hong-Liang Lu
Summary: A high-performance photodetector using exfoliated beta-Ga2O3 flakes and zero-dimensional graphene quantum dots (GQDs) is reported, which shows enhanced photoresponsivity and photoelectric performance through effective charge transfer and holds potential for commercial applications.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Oncology
Baijun Dong, Bin Yang, Wei Chen, Xinxing Du, Liancheng Fan, Xudong Yao, Wei Xue
Summary: This multicenter retrospective study evaluated the real-world effectiveness and gene predictive analysis of olaparib in Chinese patients with metastatic castration-resistant prostate cancer (mCRPC). The results showed that olaparib improved PSA response and prolonged PSA progression-free survival, especially in patients carrying HRR gene mutations.
Article
Cell Biology
Xiaorong Wu, Jiale Zhou, Ling Zhao, Zhaolin Yang, Chen Yang, Yonghui Chen, Wei Xue
Summary: This study identified low expression of circCYP24A1 in RCC tissue and demonstrated that circCYP24A1 inhibits RCC progression by sponging miR-421 and inducing CMTM-4 expression. CircCYP24A1 overexpression suppressed the proliferation, invasion, migration, metastasis, and growth of RCC cells.
CELL DEATH & DISEASE
(2022)
Article
Chemistry, Analytical
Zhenmin Liu, Na Chen, Yong Liu, Zhenyi Chen, Fufei Pang, Tingyun Wang
Summary: In this study, an optical fiber Bragg grating (FBG) sensor is used to monitor the temperature change of a high-power RF MOSFET. The FBG can accurately capture the temperature variation within each RF pulse and provide detailed temperature information. A Cauer-type thermal model of the RF MOSFET is constructed based on the temperature data obtained from the FBG.
Article
Chemistry, Multidisciplinary
Ruiqi Liu, Jing Tian, Yuemei Li, Na Chen, Jianshe Yan, Taihao Li, Shupeng Liu
Summary: Nailfold capillaroscopy is a safe, simple, noninvasive, and inexpensive method for detecting and analyzing microvascular abnormalities. Segmentation of nailfold microhemorrhages provides valuable pathological information for further investigations.
APPLIED SCIENCES-BASEL
(2022)
Article
Oncology
Xun Shangguan, Zehua Ma, Minghao Yu, Jie Ding, Wei Xue, Jun Qi
Summary: This study reveals a dependence on SQLE-mediated cholesterol metabolism in castration-resistant prostate cancer with PTEN and p53 deficiency, providing insights for new therapeutic strategies.
Article
Chemistry, Multidisciplinary
Jiachen Bi, Shuyang Li, Xiang Bao, Na Chen, Kai Fan, Shupeng Liu
Summary: Iontophoresis technology can enhance the transdermal drug delivery efficiency, and surface-enhanced Raman spectroscopy (SERS) can be an effective method to evaluate the drug delivery efficiency.
APPLIED SCIENCES-BASEL
(2022)
Article
Optics
Yana Shang, Huimei Wei, Hengfei Guo, Na Chen, Zhenyi Chen, Heming Wei, Kemin Wang, Yanhua Dong, Fufei Pang, Tingyun Wang
Summary: In this work, the integration of generation, transmission, and amplification of vortex beams carrying orbital angular momentum (OAM) was achieved by directly fabricating micro spiral phase plates (SPPs) on an end facet of a PbSe-doped ring-core fiber through two-photon polymerization. It was found that the OAM modes could be generated and transmitted directly within the fiber. The small-signal amplification of multiple OAM modes was successfully demonstrated.
Article
Multidisciplinary Sciences
Shupeng Liu, Shuyang Li, Yudan Xia, Heng Zhang, Jing Tian, Chunlei Shan, Fufei Pang, Ying Wang, Yana Shang, Na Chen
Summary: Research suggests that non-drug treatments such as electrical stimulation, light stimulation, music stimulation, laser stimulation, and transcranial magnetic stimulation may be beneficial for treating Alzheimer's disease (AD). This study examined the effects of multimodal physical stimulation on APP/PS1 mice using visible light, music with a gamma rhythm, and an infrared laser. The results showed that these physical stimulations could alleviate dementia symptoms in the mice.
Article
Endocrinology & Metabolism
Kai Shen, Minghao Yu, Yiyi Ji, Xiang Zhou, Bo Liu, Weiwei Zhang, Ruopeng Su, Jun Qi, Qi Wang, Wei Xue
Summary: This study retrospectively analyzed data from 189 NEPC patients and identified 44 patients who met the inclusion criteria. The metabolic state of NEPC was evaluated using the maximum standardized uptake value (SUVmax), and differences were observed between different histopathological subtypes. The results showed a positive correlation between SUVmax and SCNC, and SUVmax demonstrated good diagnostic accuracy in differentiating SCNC from Ad-NED. Kaplan-Meier and Cox regression analyses confirmed the predictive value of SUVmax on OS and PFS in NEPC patients, with higher SUVmax values being associated with a shorter OS.
Article
Medicine, General & Internal
Xiaohao Ruan, Da Huang, Jingyi Huang, Jinlun Huang, Yongle Zhan, Yishuo Wu, Qiang Ding, Danfeng Xu, Haowen Jiang, Wei Xue, Rong Na
Summary: This study investigated the combined effect of polygenic risk score (PRS) and prostate health index (phi) on the diagnosis of prostate cancer (PCa) in men undergoing prostate biopsy. The study found that the combination of PRS and phi provided better prediction of PCa, especially in early onset patients.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Urology & Nephrology
Yan Wang, Yinjie Zhu, Liancheng Fan, Jiazhou Liu, Jiahua Pan, Wei Xue
Summary: This study aimed to establish a prognostic nomogram for PSA-incongruent low-risk prostate cancer patients (Gleason score 6 and clinical stage T2a) at diagnosis and treated with radical prostatectomy. The study found that PSA at diagnosis, T stage upgrade, and Gleason score upgrade were identified as independent predictors for biochemical progression-free survival. A nomogram was established based on these factors.
INTERNATIONAL UROLOGY AND NEPHROLOGY
(2023)
Proceedings Paper
Computer Science, Software Engineering
Meng Sun, Na Chen, Shaoying Li, Zhenmin Liu, Shuai Ye, Yana Shang, Shupeng Liu, Fufei Pang, Tingyun Wang
Summary: This study utilizes a neural network-based compressed sensing algorithm to reduce the imaging time of atomic force microscopy (AFM) and ensure high-resolution image reconstruction.
2022 IEEE 24TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP)
(2022)
Article
Oncology
Jiazhou Liu, Shihang Pan, Liang Dong, Guangyu Wu, Jiayi Wang, Yan Wang, Hongyang Qian, Baijun Dong, Jiahua Pan, Yinjie Zhu, Wei Xue
Summary: This retrospective study aimed to explore the diagnostic value of Prostate Imaging-Reporting and Data System version 2.1 (PI-RADS v2.1) in clinically significant prostate cancer (CSPCa) patients with a history of transurethral resection of the prostate (TURP). The results showed that PSA, F/T PSA, and PI-RADS v2.1 had significant diagnostic value in detecting CSPCa. PI-RADS v2.1 was reliable in detecting peripheral-zone CSPCa but had limited value in assessing transitional zone lesions.
Article
Optics
Li Shaoying, Chen Na, Liu Zhenmin, Chen Zhenyi, Liu Shupeng, Shang Yana, Wang Tingyun
Summary: In this study, a nondestructive method for measuring cellular surface temperature distribution with high spatial resolution and high-temperature sensitivity is proposed based on near-field optics and the temperature characteristics of quantum dots fluorescence. The method combines the advantages of nonoptical and optical temperature measurement methods, and provides a better way for the nondestructive study of living cells.
CHINESE JOURNAL OF LASERS-ZHONGGUO JIGUANG
(2022)
Article
Nanoscience & Nanotechnology
Daniela Rubanova, Svitlana Skoroplyas, Alena Libanska, Eva Randarova, Josef Bryja, Michaela Chorvatova, Tomas Etrych, Lukas Kubala
Summary: This study explored the use of nanocarriers to deliver dexamethasone for treating rheumatoid arthritis. The results showed that this method increased the accumulation of dexamethasone in the arthritic area, had a dose-dependent healing effect, and reduced the accumulation of the RA mediator RANKL. This study provides a feasible strategy for improving rheumatoid arthritis therapy.
NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE
(2024)
Article
Nanoscience & Nanotechnology
Thanpisit Lomphithak, Apiwit Sae-Fung, Simone Sprio, Anna Tampieri, Siriporn Jitkaew, Bengt Fadeel
Summary: In this study, iron-doped hydroxyapatite (FeHA) was evaluated as a potential nanomedicine approach for treating PDAC. The results showed that FeHA, in combination with a sublethal dose of the GPX4 inhibitor RSL3, could trigger ferroptosis in KRAS mutant PANC-1 cells while sparing normal human cells. The induction of ferroptosis by FeHA plus RSL3 was found to be dependent on the metalloreductase STEAP3 in PDAC cells.
NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE
(2024)
Review
Nanoscience & Nanotechnology
Marco Felipe Salas-Orozco, Ana Cecilia Lorenzo-Leal, Idania de Alba Montero, Nuria Patino Marin, Miguel Angel Casillas Santana, Horacio Bach
Summary: The emergence of antibiotic-resistant bacteria in severe infections is a growing concern, particularly in hospital environments. Metal-based nanomaterials have shown potential as an alternative to combat these bacteria, but there is a risk of bacterial resistance and environmental accumulation.
NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE
(2024)