Article
Polymer Science
Arnau Valls-Esteve, Aitor Tejo-Otero, Pamela Lustig-Gainza, Irene Buj-Corral, Felip Fenollosa-Artes, Josep Rubio-Palau, Ignasi Barber-martinez de la Torre, Josep Munuera, Constantino Fondevila, Lucas Krauel
Summary: This study presents an innovative and cost-effective approach for producing patient-specific 3D anatomical models for simulation and training. Three hepatic surgeries were planned using 3D simulators built with 3D printing and silicone moulding techniques. The 3D physical models accurately replicated the actual condition and were more cost-effective compared to other models. This research demonstrates the value of manufacturing accurate and cost-effective 3D-printed surgical planning simulators for liver cancer treatment.
Article
Engineering, Biomedical
Filipe C. Pedrosa, Navid Feizi, Ruisi Zhang, Remi Delaunay, Dianne Sacco, Rajni V. Patel, Jayender Jagadeesan
Summary: This study proposes the use of patient-specific concentric-tube robots to enhance the outcomes of percutaneous nephrolithotomy procedures. By optimizing the design and identifying a suitable surgical tract, the study aims to improve the percutaneous access and reduce morbidities. The results demonstrate promising potential for the approach, but further research and clinical validation are needed.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2023)
Article
Public, Environmental & Occupational Health
Zhe Zhang, Nan Cheng, Yunfang Liu, Junyang Song, Xinhua Liu, Suhua Zhang, Guanghua Zhang
Summary: The study developed a deep learning model to generate postoperative corneal axial curvature maps for FLAK using pix2pix conditional generative adversarial network, showing promising results in accuracy and correlation between synthetic and real postoperative data.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Ophthalmology
Ayoung Choi, Hyunggoo Kwon, Sohee Jeon
Summary: The study aimed to evaluate the accuracy of total corneal power calculation using different instruments for the TFNT intraocular lens implantation. Results showed that the TK method had the best index of success, with predictive errors being close for the TCRP3 and TCRP4 methods.
JOURNAL OF REFRACTIVE SURGERY
(2021)
Article
Engineering, Multidisciplinary
Loai A. Elmahdi, Yuanming Xu, Elsayed M. Khalil, Mostafa S. Mohamed
Summary: This article proposes a new methodology for designing missile fins using a dynamic adaptive multi-objective optimization algorithm and a selection scheme. It aims to bridge the gap between conceptual and final phases in missile design.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Biotechnology & Applied Microbiology
Alvaro Navarrete, Andres Utrera, Eugenio Rivera, Marcos Latorre, Diego J. Celentano, Claudio M. Garcia-Herrera
Summary: The Constrained Mixture Model is a novel approach to describe arterial wall mechanics, which considers the arterial wall as a mixture of load-bearing constituents and determines its material parameters and deposition stretch values through an iterative fitting procedure. Experimental data is used to calibrate the model and establish a strong consistency between the model and experimental data.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Mathematics, Applied
Miriam R. Ferrandez, Benjamin Ivorra, Juana L. Redondo, Angel M. Ramos, Pilar M. Ortigosa
Summary: We propose a novel methodology for identifying parameters of compartmental epidemiological models by fitting model outputs to real observations through a multi-objective optimization problem. We use the ParWASF-GA optimization algorithm to solve the defined problem and allow the decision maker to choose the parameter values that best suit their preferences. The proposed methodology is applied to estimate the parameters of a deterministic epidemiological model for forecasting the spread of human diseases, and it helps obtain reasonable predictions in different Ebola outbreaks from 2014 to 2019.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2023)
Article
Oncology
James H. Park, Abdullah H. Feroze, Samuel N. Emerson, Anca B. Mihalas, C. Dirk Keene, Patrick J. Cimino, Adrian Lopez Garcia de Lomana, Kavya Kannan, Wei-Ju Wu, Serdar Turkarslan, Nitin S. Baliga, Anoop P. Patel
Summary: In this study, the authors modeled the tumor evolutionary trajectories during standard-of-care treatment for glioblastoma using multi-omic single-cell analysis. They identified a network of regulators that mediate treatment-induced shifts in tumor cell states and developed consensus networks that modulate cell state transitions across primary and recurrent tumor cells. By matching targeted therapies to active regulatory networks, they proposed a framework for applying single-cell-based precision medicine approaches to individual patients in different treatment settings.
NPJ PRECISION ONCOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Yao Wang, Jiong Zhao, Kuan Jiang, Qicai Zhou, Zhenkuo Kang, Chuanlin Chen, Heng Zhang
Summary: Rational parameters of TBM are crucial for efficient and safe tunnel construction. A hybrid ML model BPSO-XGBoost is proposed to improve the accuracy of predicting screw conveyer rotational speed. Experimental results show that the BPSO-XGBoost model outperforms other traditional ML methods.
ADVANCED ENGINEERING INFORMATICS
(2023)
Review
Biochemistry & Molecular Biology
Dmitriy A. Grekhnev, Elena V. Kaznacheyeva, Vladimir A. Vigont
Summary: The development of cell reprogramming technologies has made significant contributions to the study of neurodegenerative diseases, allowing for a better understanding of the molecular mechanisms underlying these pathologies and facilitating the identification of effective drugs.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Health Care Sciences & Services
Alessandro Palma, Marta Iannuccelli, Ilaria Rozzo, Luana Licata, Livia Perfetto, Giorgia Massacci, Luisa Castagnoli, Gianni Cesareni, Francesca Sacco
Summary: By embedding patient-specific genomic data into actionable logic models, relevant patient-specific clinical features can be inferred. Therefore, integrating literature-derived causal networks with patient-specific data may help with bedside decisions.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Article
Computer Science, Interdisciplinary Applications
Nicola Ferro, Simona Perotto, Daniele Bianchi, Raffaele Ferrante, Marco Mannisi
Summary: A flexible problem-specific multiscale topology optimization method is proposed to associate different areas of the design domain with diverse microstructures extracted from a dictionary. The dictionary is generated using the micro-SIMPATY algorithm, which promotes free-form layout design. The method is applied to the design of orthotic devices for the treatment of foot diseases and validated in terms of mechanical performances and manufacturability.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Engineering, Biomedical
Jingyan Xu, Frederic Noo
Summary: This study introduces a hyperparameter learning framework for optimization-based image reconstruction in x-ray CT applications. The framework consists of two modules that can be trained end-to-end efficiently, generating patient-specific hyperparameters from sinograms. Numerical studies show the effectiveness of this approach compared to bi-level optimization.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Engineering, Biomedical
Alexander D. Cetnar, Martin L. Tomov, Liqun Ning, Bowen Jing, Andrea S. Theus, Akaash Kumar, Amanda N. Wijntjes, Sai Raviteja Bhamidipati, Katherine Pham Do, Athanasios Mantalaris, John N. Oshinski, Reza Avazmohammadi, Brooks D. Lindsey, Holly D. Bauser-Heaton, Vahid Serpooshan
Summary: This study utilizes 3D bioprinting and perfusion bioreactor technologies to create high-fidelity models of developing human heart, allowing precise tuning of microenvironmental factors for studying normal development and underlying diseases.
ADVANCED HEALTHCARE MATERIALS
(2021)
Article
Thermodynamics
Wen Long, Tiebin Wu, Ming Xu, Mingzhu Tang, Shaohong Cai
Summary: The paper proposes a variant of butterfly optimization algorithm (EABOA) to identify unknown parameters of PV models, which shows better performance than other selected algorithms in terms of accuracy and reliability.
Article
Multidisciplinary Sciences
Prativa Sahoo, Xin Yang, Daniel Abler, Davide Maestrini, Vikram Adhikarla, David Frankhouser, Heyrim Cho, Vanessa Machuca, Dongrui Wang, Michael Barish, Margarita Gutova, Sergio Branciamore, Christine E. Brown, Russell C. Rockne
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2020)
Article
Radiology, Nuclear Medicine & Medical Imaging
Elham Taghizadeh, Oskar Truffer, Fabio Becce, Sylvain Eminian, Stacey Gidoin, Alexandre Terrier, Alain Farron, Philippe Buchler
Summary: This study aimed to develop a convolutional neural network (CNN) for automatic quantification and characterization of rotator cuff (RC) muscle degeneration from shoulder CT images. The CNN showed comparable accuracy with human raters in estimating muscle atrophy, fatty infiltration, and overall muscle degeneration.
EUROPEAN RADIOLOGY
(2021)
Review
Ophthalmology
Alicia Sanchez-Garcia, Miguel A. Ariza, Phillippe Buechler, Ainhoa Molina-Martin, David P. Pinero
Summary: The peer-reviewed literature on corneal structural changes after orthokeratology (OK) shows reversible changes in central epithelium and anterior corneal stroma following OK, as well as a decrease in nerve density and corneal sensitivity. Quality assessments of the studies were good, but more research is needed for longer follow-up evaluations.
CONTACT LENS & ANTERIOR EYE
(2021)
Article
Engineering, Biomedical
Philippe Buchler, Jonas Raber, Benjamin Voumard, Steve Berger, Brett Bell, Nino Sutter, Stefan Funariu, Carol Hasler, Daniel Studer
Summary: This study developed a system for intraoperative measurement of the three-dimensional segmental stiffness of the patient's spine, using a robot called SpineBot. The accuracy of SpineBot was comparable to that of current reference systems, despite the noisier measurements, with a high correlation between SpineBot and reference measurements.
JOURNAL OF MEDICAL DEVICES-TRANSACTIONS OF THE ASME
(2021)
Article
Engineering, Biomedical
Romain Bagnol, Christoph Sprecher, Marianna Peroglio, Jerome Chevalier, Redouan Mahou, Philippe Buechler, Geoff Richards, David Eglin
Summary: The study explores the use of a coaxial printing technique with a self-setting calcium phosphate cement to enhance structure stability and stiffness post-printing. By applying a steam sterilization protocol as a hardening step, constructs with significantly higher compressive moduli were achieved. This approach improves the efficiency and mechanical performance of 3D printed personalized calcium phosphate bone substitutes.
ACTA BIOMATERIALIA
(2021)
Article
Ophthalmology
Theo G. Seiler, Maria A. Komninou, Malavika H. Nambiar, Kaspar Schuerch, Beatrice E. Frueh, Philippe Buechler
Summary: The study found that supplementary oxygen can increase oxygen availability during corneal cross-linking. At higher irradiances, supplementary oxygen is beneficial and eliminates the bottleneck of oxygen allowing for potentially more efficient cross-linking. The calibrated numerical model can quantify spatial oxygen concentration related to different scenarios such as irradiance or environmental oxygen concentration.
AMERICAN JOURNAL OF OPHTHALMOLOGY
(2021)
Article
Pharmacology & Pharmacy
Krishnashis Chatterjee, Naciye Atay, Daniel Abler, Saloni Bhargava, Prativa Sahoo, Russell C. Rockne, Jennifer M. Munson
Summary: This study applied a novel image analysis method to measure fluid flow and diffusion in GBM patients, finding strong correlations between flow rates and patient outcomes. The analysis of standard DCE-MRI in patients offers more information regarding IFF and transport within and around the tumor, indicating a significant correlation with patient prognosis.
Article
Multidisciplinary Sciences
Can Gokgol, Yasushi Ueki, Daniel Abler, Nicolas Diehm, Rolf P. Engelberger, Tatsuhiko Otsuka, Lorenz Raber, Philippe Buchler
Summary: This study proposed a new algorithm to reconstruct FP arteries using high-resolution OCT images and X-ray images, showing that PTA caused arterial dissections whereas no dissections were found in stented arteries. CFD simulations demonstrated a significant impact on areas affected by low time-averaged wall shear stress following endovascular therapy.
SCIENTIFIC REPORTS
(2021)
Article
Orthopedics
Pezhman Eghbali, Fabio Becce, Patrick Goetti, Frederic Vauclair, Alain Farron, Philippe Buchler, Dominique Pioletti, Alexandre Terrier
Summary: The objective of this study was to determine the normative bone mineral density (BMD) of cortical and trabecular bone regions in the adult glenoid and its dependence on the subject's age and sex. The study found that glenoid BMD was higher in males than females and declined with age. These findings are clinically relevant in the diagnosis and management of shoulder disorders and related research.
JOURNAL OF ORTHOPAEDIC RESEARCH
(2023)
Article
Materials Science, Multidisciplinary
Shima Bahramizadeh-Sajadi, Hamid Reza Katoozian, Jiri Nohava, Miguel Angel Ariza-Gracia, Philippe Buchler
Summary: Although corneal biomechanics plays an important role in ophthalmology, its characterization remains limited due to tissue availability. This study aimed to quantify the change in mechanical response of porcine corneas after 6 days of storage either at -20 degrees C or in standard culture medium. The results showed that the mechanical response were not altered by any of the preservation methods, but storage in culture medium resulted in increased standard deviation and significant swelling.
Article
Pharmacology & Pharmacy
Perrine Courlet, Daniel Abler, Monia Guidi, Pascal Girard, Federico Amato, Naik Vietti Violi, Matthieu Dietz, Nicolas Guignard, Alexandre Wicky, Sofiya Latifyan, Rita De Micheli, Mario Jreige, Clarisse Dromain, Chantal Csajka, John O. Prior, Karthik Venkatakrishnan, Olivier Michielin, Michel A. Cuendet, Nadia Terranova
Summary: A tumor growth inhibition model was developed based on real-world clinical and imaging data, revealing significant and clinically relevant effects of albumin, neutrophil to lymphocyte ratio, ECOG performance status, and NRAS mutation on tumor dynamics.
CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Daniel Abler, Roger Schaer, Valentin Oreiller, Himanshu Verma, Julien Reichenbach, Orfeas Aidonopoulos, Florian Evequoz, Mario Jreige, John O. Prior, Adrien Depeursinge
Summary: Background radiomics, a field of image-based computational research, has the potential to revolutionize personalized decision support models. However, the translation of radiomics prediction models into clinical practice is progressing slowly due to the lack of physician involvement and insufficient integration in clinical workflow.
EUROPEAN RADIOLOGY EXPERIMENTAL
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Daniel Abler, Vincent Andrearczyk, Valentin Oreiller, Javier Barranco Garcia, Diem Vuong, Stephanie Tanadini-Lang, Matthias Guckenberger, Mauricio Reyes, Adrien Depeursinge
Summary: This study investigates the feasibility of using non-invasive medical imaging to predict the methylation status of the MGMT gene. By analyzing a large and heterogeneous dataset, the features derived from FLAIR images were found to be the most informative for MGMT prediction. Additionally, the imaging characteristics of the tumor region can affect the performance of the prediction models.
BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2021, PT II
(2022)
Article
Oncology
Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Daniel Abler, Joel Castelli, Oscar Acosta, Renaud De Crevoisier, Martin Vallieres, Mario Jreige, John O. Prior, Adrien Depeursinge
Summary: The majority of studies in the field of radiomics use contours from radiotherapy planning, which often overestimate the true tumoral volume. This study compares the performance of models using two types of contours and finds that using dedicated contours that accurately represent the tumor volume is important for predicting progression-free survival in radiomics studies.
CLINICAL AND TRANSLATIONAL RADIATION ONCOLOGY
(2022)
