Article
Chemistry, Multidisciplinary
Dongmei Xi, Ning Xu, Xiang Xia, Chao Shi, Xiaojing Li, Dongsheng Wang, Saran Long, Jiangli Fan, Wen Sun, Xiaojun Peng
Summary: In this study, a photosensitizer assembly nanosystem was developed to enhance tumor retention for efficient photodynamic therapy. The long tumor retention time of the photosensitizer nanoparticles allowed for single-dose injection and multiple light treatments, resulting in a high inhibition rate of over 90% for tumor growth.
ADVANCED MATERIALS
(2022)
Review
Pharmacology & Pharmacy
Scott Schoen, M. Sait Kilinc, Hohyun Lee, Yutong Guo, F. Levent Degertekin, Graeme F. Woodworth, Costas Arvanitis
Summary: Brain tumors located in the central nervous system (CNS) present a unique challenge due to limited drug access to the brain tumor microenvironment (TME). Recent advancements in microbubble ultrasound contrast agents and ultrasound energy have shown promise in enhancing drug delivery to brain tumors. This technology has the potential to improve the effectiveness of both traditional chemotherapy and novel immunotherapeutic agents. Early clinical studies have demonstrated safety, and ongoing Phase I/II trials are testing the preclinical findings.
ADVANCED DRUG DELIVERY REVIEWS
(2022)
Article
Computer Science, Information Systems
Caio C. Moreira, Davi C. Moreira, Claudomiro de S. de Sales Jr
Summary: This article introduces a method for detecting ransomware using static analysis, which converts header files into color images and classifies them using the Xception CNN model. The method simplifies feature extraction, reduces processing load, and is more resilient against evasion techniques and ransomware evolution. Evaluations on two datasets demonstrate the effectiveness and improved performance of the proposed method.
COMPUTERS & SECURITY
(2023)
Article
Biology
Chuyuan Wang, Ying Wei, Jiaguang Li, Xiang Li, Yue Liu, Qian Hu, Yuefeng Wang
Summary: This study proposed an asymmetry enhanced attention network for Alzheimer's disease diagnosis, effectively combining brain anatomical asymmetry characteristics to enhance classification accuracy. The method achieved performance improvements on two databases and provides valuable reference for other neurological diseases.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Computer Science, Information Systems
Sohaib Asif, Wenhui Yi, Qurrat Ul Ain, Jin Hou, Tao Yi, Jinhai Si
Summary: This study aims to develop a robust and efficient method for classifying brain tumors using MRI based on transfer learning technique. The experimental results show that the proposed CNN model based on the Xception architecture using ADAM optimizer is better than the other three proposed models, enabling quick and accurate classification of brain tumors.
Article
Pharmacology & Pharmacy
Zhengyu Yu, Qinghu He, Jichang Yang, Min Luo
Summary: This study proposes a supervised machine learning model that accurately classifies and analyzes the features of brain tumor MRI, achieving over 95% accuracy.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Medicine, Research & Experimental
Lijiao Yang, Lili Wang, Guoming Huang, Xuan Zhang, Lanlan Chen, Ao Li, Jinhao Gao, Zijian Zhou, Lichao Su, Huanghao Yang, Jibin Song
Summary: This study investigates key factors affecting the sensitivity of T-1 CE-MRI using manganese oxide nanoparticles, showing that surface area and manganese ion occupancy rate have positive impacts, while volume and r(2)/r(1) ratio have negative effects. MnO octahedrons exhibit excellent enhancement in tumor imaging at an ultralow dose, holding great potential for sensitive and accurate cancer diagnosis in clinic.
Article
Oncology
Andreas Stadlbauer, Franz Marhold, Stefan Oberndorfer, Gertraud Heinz, Michael Buchfelder, Thomas M. Kinfe, Anke Meyer-Base
Summary: The pretreatment diagnosis of contrast-enhancing brain tumors is challenging due to their similar appearance on MRI. This study combined machine learning algorithms with a physiological MRI technique to develop a radiophysiomics approach for the classification of brain tumors. The results showed that radiophysiomics could be helpful in the clinical routine diagnosis of contrast-enhancing brain tumors, but further automation using deep neural networks is required.
Article
Multidisciplinary Sciences
Max Blokker, Philip C. de Witt Hamer, Pieter Wesseling, Marie Louise Groot, Mitko Veta
Summary: This article presents a real-time deep learning-based pipeline for automated glioma image analysis. By using nonlinear multiphoton microscopy, this method enables real-time imaging of brain tissue during surgery and achieves good accuracy in image analysis through a custom noise detection scheme and convolutional classification network.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Chemical
Tianyu Liu, Dandan Chen, Ya Cao, Feng Yang, Jinyao Chen, Jian Kang, Ruizhang Xu, Ming Xiang
Summary: A new kind of anti-fouling ultrafiltration composite membrane was fabricated in this research, showing superior fouling resistance and permeability for long-term operation. Results demonstrated that the composite membrane performed better in retaining BSA compared to conventional polysulfone membranes.
JOURNAL OF MEMBRANE SCIENCE
(2021)
Article
Oncology
Jiaojiao Li, Tianzhu Zhang, Juanwei Ma, Ningnannan Zhang, Zhang Zhang, Zhaoxiang Ye
Summary: This study evaluated the diagnostic performance of machine-learning-based CT radiomic analysis for differentiating benign and malignant ovarian tumors. The mixed model with MLP classifier showed promising results, suggesting its potential clinical utility.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Ariege Bizanti, Priyanka Chandrashekar, Robert Steward
Summary: Biomechanical behavior of astrocytes is influenced by substrate stiffness, with increasing stiffness leading to higher intercellular stresses, strain energies, and tractions, while cell velocities decrease. This study sheds light on the importance of substrate stiffness on astrocytic function and could have implications for brain pathology and physiology research.
EXPERIMENTAL CELL RESEARCH
(2021)
Article
Computer Science, Information Systems
Muhammed Mutlu Yapici, Rukiye Karakis, Kali Gurkahraman
Summary: This study proposes a tumor classification model using deep learning techniques, which includes both synthetic and original images as training data. By comparing models trained on different datasets, the study demonstrates the improved accuracy achieved by using synthetic images in the model.
CMC-COMPUTERS MATERIALS & CONTINUA
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yuen Teng, Chaoyue Chen, Xin Shu, Fumin Zhao, Lei Zhang, Jianguo Xu
Summary: This study aimed to optimize brain extraction models for oncological analysis and developed an nnU-Net-based deep learning model for automated brain extraction in the presence of brain tumors.
EUROPEAN RADIOLOGY
(2023)
Article
Nanoscience & Nanotechnology
Lei Xia, Li Wen, Xiangxi Meng, Nina Zhou, Xiaoyi Guo, Teli Liu, Xiaoxia Xu, Feng Wang, Hua Zhu, Zhi Yang
Summary: The study utilized organic melanin nanoparticles to label the radionuclide I-124 and efficiently bond PSMA groups on the surface to construct the PSMA-targeted long-retention nanoprobe I-124-PPMN. The results showed that the nanoprobe could aggregate in prostate cancer tumors and be visible for more than 72 hours, demonstrating high specificity and safety for potential future use in prostate cancer theranostics.
INTERNATIONAL JOURNAL OF NANOMEDICINE
(2021)
Article
Anatomy & Morphology
K. M. Santifort, E. N. Glass, B. P. Meij, N. Bergknut, M. Pumarola, V. Aige Gil
Summary: This study identified the presence of the meningeal branch of the spinal nerve and basivertebral nerve in dogs through anatomical dissection. Suspected nerve fibers were also found in the epidural fat. These findings have important clinical implications for the treatment of low back pain and the understanding of anatomical variations and breed differences.
ANNALS OF ANATOMY-ANATOMISCHER ANZEIGER
(2023)
Article
Biochemistry & Molecular Biology
Sergi Rodriguez-Calado, Petra Van Damme, Francesc Xavier Aviles, Ana Paula Candiota, Sebastian Tanco, Julia Lorenzo
Summary: The cellular role of CCP6 was assessed using BioID, and 37 putative interactors of CCP6 were identified. CCP6 was found to be present in the pericentriolar material and involved in centrosome and centriole functions, as well as in the formation and maintenance of primary cilia. The CCP6 proximal partner list also included proteins associated with cilium assembly and Joubert syndrome.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Veterinary Sciences
Kimberley Stee, Mario Van Poucke, Marti Pumarola, Lise Geerinckx, Iris Van Soens, Sofie F. M. Bhatti, Luc Peelman, Ine Cornelis
Summary: Spinocerebellar degeneration in the Bouvier des Ardennes breed is caused by a KCNJ10 variant. It can manifest with varying degrees of severity.
JOURNAL OF VETERINARY INTERNAL MEDICINE
(2023)
Article
Engineering, Civil
Salah L. Zubaidi, Nabeel Saleem Saad Al-Bdairi, Sandra Ortega-Martorell, Hussein Mohammed Ridha, Nadhir Al-Ansari, Hussein Al-Bugharbee, Khalid Hashim, Sadik Kamel Gharghan
Summary: This study assessed the impact of climatic factors on urban water demand in Iraq and developed a novel forecasting methodology. The results showed that precipitation, solar radiation, and dew point temperature were the most relevant factors, and the use of the MPA-ANN algorithm improved the accuracy of the prediction. This methodology is significant for water utilities in planning and reviewing freshwater resources and adapting to the variability of climatic factors.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2023)
Article
Infectious Diseases
Thomas Heseltine, Elen Hughes, Jean Mattew, Scott Murray, Sandra Ortega-Martorell, Ivan Olier, Damini Dey, Gregory Y. H. Lip, Saye Khoo
Summary: This study compared the association of cardiovascular disease (CVD) with epicardial adipose tissue (EAT) in HIV-positive and HIV-negative patients. The results showed that, after adjustment, EAT volume was significantly associated with coronary calcification in the HIV-positive group, but not in the HIV-negative group, suggesting differences in the mechanistic drivers of atherosclerosis between these two groups.
JOURNAL OF INFECTION
(2023)
Review
Chemistry, Multidisciplinary
Paula Alfonso-Triguero, Julia Lorenzo, Ana Paula Candiota, Carles Arus, Daniel Ruiz-Molina, Fernando Novio
Summary: Current therapies for glioblastoma and brain tumours are inefficient and face numerous challenges. Chemotherapy and radiotherapy, along with surgical resection, are currently used as standard treatments. However, these treatments have limited efficacy and patients still face a poor prognosis. To overcome these challenges, researchers have developed and tested various platinum complexes, particularly platinum (IV)-based prodrugs, with the aim of improving anticancer activity. Nanomedicines that encapsulate these platinum-based drugs, cross the blood-brain barrier, and specifically target cancer cells show promise in increasing therapeutic effectiveness and reducing side effects.
Editorial Material
Veterinary Sciences
Maria Teresa Mandara, Marti Pumarola
FRONTIERS IN VETERINARY SCIENCE
(2023)
Article
Computer Science, Artificial Intelligence
Bradley Walters, Sandra Ortega-Martorell, Ivan Olier, Paulo J. G. Lisboa
Summary: A lack of transparency in machine learning models can limit their application. ANOVA methods can extract interpretable predictive models from them by decomposing them into functions of fewer variables. Retaining the terms involving only one or two variables in the ANOVA summation provides an efficient method to open black box classifiers.
Article
Biophysics
Gulnur Ungan, Carles Arus, Alfredo Vellido, Margarida Julia-Sape
Summary: Magnetic resonance spectroscopy (MRS) is a noninvasive MR technique that provides biochemical information of tissues. This study compared the performance of different variants of unsupervised matrix factorization methods for brain tumor classification using MRS data. The results showed that NMU methods achieved better classification accuracy than C-NMF, making them more suitable for brain tumor classification.
NMR IN BIOMEDICINE
(2023)
Article
Oncology
Sandra Ortega-Martorell, Ivan Olier, Orlando Hernandez, Paula D. Restrepo-Galvis, Ryan A. A. Bellfield, Ana Paula Candiota
Summary: This study aims to improve the assessment of treatment response in glioblastoma using MRSI data and machine learning. The developed models successfully identified tumor regions based on their response to treatment, outperforming previous methods and potentially providing new opportunities for patient management.
Article
Oncology
Gulnur Ungan, Albert Pons-Escoda, Daniel Ulinic, Carles Arus, Alfredo Vellido, Margarida Julia-Sape
Summary: The purpose of the study was to test the feasibility of training machine learning models using single-voxel data and testing them with multivoxel data to obtain pathology images for preoperative evaluation. By applying sequential forward feature selection and linear discriminant analysis, AUCs of 0.95 (meningioma), 0.89 (aggressive), 0.82 (low-grade glioma), and 0.82 (normal brain) were achieved in the multivoxel test set.
Article
Agriculture, Dairy & Animal Science
Laura Vidal-Palencia, Cristina Font, Agustin Rebollada-Merino, Gabriel Santpere, Pol Andres-Benito, Isidro Ferrer, Marti Pumarola
Summary: Tauopathies are neurodegenerative diseases characterized by the accumulation of tau protein in cells. This study reports the first case of primary tauopathy in a cat, providing insights into the disease's clinical and pathological features.
Article
Medicine, General & Internal
Sandra Ortega-Martorell, Ivan Olier, Brian W. Johnston, Ingeborg D. Welters
Summary: This study investigates the relationship between SIC and atrial fibrillation in patients admitted to the ICU. Age is found to be the strongest predictor, and routine coagulation tests and markers of inflammation are also associated with the occurrence of AF.
FRONTIERS IN MEDICINE
(2023)
Article
Veterinary Sciences
Koen M. Santifort, Eric N. Glass, Marti Pumarola, Vicente Aige Gil
Summary: This study describes the anatomical characteristics and histological features of the trigeminal ganglion to explain the reason for TGCE on post-contrast MRI studies of the brain in dogs. The results suggest that TGCE may be due to an incomplete blood-nerve barrier or blood-ganglion barrier at the interface between the central nervous system and the peripheral nervous system.
FRONTIERS IN VETERINARY SCIENCE
(2023)