Article
Computer Science, Artificial Intelligence
Lucas De Lara, Alberto Gonzalez-Sanz, Jean-Michel Loubes
Summary: This paper introduces a new framework based on Sinkhorn divergences, unbiased entropic optimal transportation costs, and proves the statistical consistency with rate of the empirical optimal deformations.
SIAM JOURNAL ON IMAGING SCIENCES
(2023)
Article
Mathematics, Applied
Huan Han, Qi Jin, Yimin Zhang
Summary: In this paper, the authors relax the equality constraints of diffeomorphic image registration from Han and Wang (2020) [9] to include inequality constraints. Additionally, the issue of mesh folding is addressed, and a numerical algorithm for the proposed model is introduced. Numerical tests demonstrate the competitiveness of the proposed algorithm compared to other published image registration models.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2023)
Article
Medicine, General & Internal
Kangzhi Chen, Fei Jiang, Qian Zhou, Xiaohua Dong, Ting He, Yi Li, Zhaohui Luo, Weiwei Duan, Huan Yang
Summary: The study found a high prevalence of latent tuberculosis infection (LTBI) among myasthenia gravis (MG) patients, especially among older age groups and males. However, receiving immunosuppressive therapies does not seem to increase the risk of LTBI reactivation. Screening for LTBI is strongly recommended for all MG patients ready to receive treatment, and preventive anti-tuberculosis chemotherapy should be prescribed after considering the potential benefits and risks in LTBI patients.
ANNALS OF MEDICINE
(2023)
Article
Multidisciplinary Sciences
Alphin J. Thottupattu, Jayanthi Sivaswamy, Venkateswaran P. Krishnan
Summary: Normative aging trends of the brain can be used as an important reference in assessing neurological structural disorders. This study proposes a method to develop an aging model using cross-sectional data, without longitudinal data, and the proposed model is successfully validated.
SCIENTIFIC REPORTS
(2022)
Article
Medicine, General & Internal
Yuya Sugiyama, Nobuhiro Ueno, Shion Tachibana, Yu Kobayashi, Yuki Murakami, Takahiro Sasaki, Aki Sakatani, Keitaro Takahashi, Katsuyoshi Ando, Shin Kashima, Kentaro Moriichi, Hiroki Tanabe, Toshikatsu Okumura, Mikihiro Fujiya
Summary: Screening for latent tuberculosis (TB) infection is important before initiating anti-tumor necrosis factor (anti-TNF) alpha agents to prevent TB reactivation. However, reactivation of latent TB infection can still occur, and the ideal therapeutic strategy for inflammatory bowel disease (IBD) patients who develop active TB infection has not been established. Vedolizumab (VDZ) has a good safety profile, but its safety in patients with latent TB infection reactivation associated with anti-TNF-alpha agents is unclear.
Review
Clinical Neurology
Luiza Andraus Dantas, Marina Steingraber Pereira, Amanda de Miranda Gauza, Maria Eduarda Bonetti Schulz, Gustavo Figueiredo da Silva, Maria Eduarda Marchi Martin, Washigton Luiz Gomes de Medeiros Junior, Marcus Vinicius Magno Goncalves
Summary: This study systematically reviewed literature from 2010 to 2020 and found 14 studies exploring the relationship between MS and LTBI. While reactivation of LTBI is well understood, literature addressing the association between the contagious disease and MS treatment is scarce.
MULTIPLE SCLEROSIS AND RELATED DISORDERS
(2021)
Article
Computer Science, Artificial Intelligence
Xiaogang Du, Dongxin Gu, Tao Lei, Song Wang, Xuejun Zhang, Hongying Meng
Summary: The proposed Hierarchical Neighborhood Spectral Features Log-Demons registration algorithm improves the capability of capturing complex distortions compared to traditional algorithms, and achieves better registration accuracy and efficiency.
IET IMAGE PROCESSING
(2021)
Article
Computer Science, Artificial Intelligence
Ameneh Sheikhjafari, Michelle Noga, Kumaradevan Punithakumar, Nilanjan Ray
Summary: In this paper, a novel training-free approach based on ordinary differential equations is proposed for diffeomorphic deformable image registration. The approach employs an Euler integration type recursive scheme to estimate spatial transformations between fixed and moving images at different resolutions. Unlike learning-based methods, this approach does not require a dedicated training set and is not affected by training bias.
APPLIED INTELLIGENCE
(2022)
Article
Immunology
Yan Liang, Xiaoping Li, Yourong Yang, Li Xiao, Yumei Liang, Jie Mi, Yong Xue, Wenping Gong, Lan Wang, Jie Wang, Junxian Zhang, Yingchang Shi, Bizhen Peng, Xiaoyang Chen, Weiguo Zhao, Xueqiong Wu
Summary: This study compared the effects of MTB ag85ab and 7 latent DNA vaccines on clearing and preventing activation of latent MTB in a mouse model of latent tuberculosis infection (LTBI). The results showed that all vaccine groups significantly reduced the bacterial count and lesion degree in the lungs of mice, and induced antigen-specific cellular immune responses. Among them, MTB ag85ab and rv2659c, rv1733c DNA vaccines showed the most significant preventive effect.
FRONTIERS IN IMMUNOLOGY
(2023)
Article
Critical Care Medicine
Amit Kaushik, Nicole C. Ammerman, Rokeya Tasneen, Sophie Lachau-Durand, Koen Andries, Eric Nuermberger
Summary: Long-acting injectable bedaquiline has significant potential in shortening tuberculosis preventive therapy, with an injection of 160 mg/kg exerting antituberculosis activity for 12 weeks. Compared to oral regimens, the long-acting bedaquiline regimen showed superior sterilizing activity, indicating its effectiveness in preventing tuberculosis.
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
(2022)
Article
Engineering, Biomedical
Liutong Zhang, Guochen Ning, Lei Zhou, Hongen Liao
Summary: This paper presents a novel symmetric pyramid network for medical image inverse consistent diffeomorphic registration. It encodes multi-scale images to feature pyramids and conducts feature-level diffeomorphic registration symmetrically. The proposed method outperforms others in accurate alignment and generates deformation fields with expected properties.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
(2023)
Article
Mathematics
Chenwei Cai, Lvda Wang, Shihui Ying
Summary: Image registration, an important technique in brain imaging analysis, aims to align two images through a spatial transformation. This research proposes a symmetric diffeomorphic image registration model based on multi-label segmentation masks. By introducing a new similarity metric and adaptive parameters, the proposed model improves accuracy, robustness, and smoothness of the registration compared to mainstream methods.
Article
Microbiology
Yong S. Chang, Si-Yang Li, Henry Pertinez, Fabrice Betoudji, Jin Lee, Steven P. Rannard, Andrew Owen, Eric L. Nuermberger, Nicole C. Ammerman
Summary: This study aims to determine the exposure-activity relationship of rifapentine and rifabutin to guide the development of long-acting injectable formulations. The use of a mouse model and dynamic oral dosing helped identify exposure profiles suitable for tuberculosis preventive therapy regimens.
ANTIMICROBIAL AGENTS AND CHEMOTHERAPY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jing Yang, Yinghao Wu, Dong Zhang, Wenting Cui, Xiaoli Yue, Shaoyi Du, Hongmei Zhang
Summary: This study proposes a method for improving medical image registration by combining cascaded networks and compressed loss, achieving improvements in both diffeomorphic property and registration accuracy.
Article
Anatomy & Morphology
Yanshuai Tu, Xin Li, Zhong-Lin Lu, Yalin Wang
Summary: Retinotopic maps, which are important in vision science, are limited by the signal-to-noise ratio and spatial resolution of fMRI. We developed a new registration method called Diffeomorphic Registration for Retinotopic Maps (DRRM) to improve the quality of retinotopic maps by aligning them under the diffeomorphic condition. DRRM outperforms existing methods in achieving diffeomorphic registration in both synthetic and real datasets, and it may have applications in clinical settings.
BRAIN STRUCTURE & FUNCTION
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Alvaro A. Ordonez, Sudhanshu Abhishek, Alok K. Singh, Mariah H. Klunk, Babak Benham Azad, Eric O. Aboagye, Laurence Carroll, Sanjay K. Jain
MOLECULAR IMAGING AND BIOLOGY
(2020)
Article
Clinical Neurology
S. Bryn Dhir, Kwame S. Kutten, Muwei Li, Andreia Faris, Laurent Younes, J. Tilak Ratnanather
Article
Chemistry, Medicinal
Filipa Mota, Ravindra Jadhav, Camilo A. Ruiz-Bedoya, Alvaro A. Ordonez, Mariah H. Klunk, Joel S. Freundlich, Sanjay K. Jain
ACS INFECTIOUS DISEASES
(2020)
Article
Cell Biology
Oren Gordon, Robert J. Miller, John M. Thompson, Alvaro A. Ordonez, Mariah H. Klunk, Dustin A. Dikeman, Daniel P. Joyce, Camilo A. Ruiz-Bedoya, Lloyd S. Miller, Sanjay K. Jain
DISEASE MODELS & MECHANISMS
(2020)
Article
Biochemistry & Molecular Biology
Allison M. Murawski, Mark P. Brynildsen
Summary: Genetic mutants have demonstrated the importance of homologous recombination (HR) to fluoroquinolone (FQ) persistence, suggesting that different types of persister subtypes exist, with some proficient in HR. Furthermore, time-lapse microscopy revealed distinct growth dynamics during the post-antibiotic recovery period for persisters from monoploid-enriched and diploid-enriched subpopulations.
Article
Chemistry, Multidisciplinary
Brett M. Babin, Gabriela Fernandez-Cuervo, Jessica Sheng, Ori Green, Alvaro A. Ordonez, Mitchell L. Turner, Laura J. Keller, Sanjay K. Jain, Doron Shabat, Matthew Bogyo
Summary: FLASH is a fast, luminescent, and affordable sensor developed for detecting and monitoring drug susceptibility of Mycobacterium tuberculosis (Mtb). It is selective for the Mtb protease Hip1 and can detect low amounts of Mtb cells with high sensitivity within minutes. FLASH can distinguish live from dead cells and has the potential to enhance TB diagnostics and drug resistance monitoring in resource-limited settings.
ACS CENTRAL SCIENCE
(2021)
Article
Clinical Neurology
Saumya S. Gurbani, David M. Brandman, Christopher Reeves, Nicholas M. Boulis, Brent D. Weinberg
Summary: In percutaneous trigeminal tractotomy, intraoperative CT and postoperative MRI are useful for localization, evaluating complications, and quality control, ultimately aiding in long-term pain relief for patients with trigeminal neuralgia.
JOURNAL OF NEUROIMAGING
(2022)
Article
Biochemical Research Methods
Qian Ke, Wikum Dinalankara, Laurent Younes, Donald Geman, Luigi Marchionni
Summary: This study introduces a representation of multi-omics profiles to account for heterogeneity of DNA and RNA molecular profiles in cancer cells, and uses integer programming to identify a small set of paired DNA-RNA aberrations in cancer populations, resulting in the discovery of novel molecular alterations signatures. The results suggest that cancer heterogeneity increases with disease severity. This framework is well-suited for the expanding complexity of cancer genomes and epigenomes.
PLOS COMPUTATIONAL BIOLOGY
(2021)
Article
Biochemical Research Methods
Filipa Mota, Patricia De Jesus, Sanjay K. Jain
Summary: Researchers developed a method to synthesize F-18-FDS for positron emission tomography imaging to visualize infections. Clinical study in 26 patients showed that F-18-FDS PET was safe and could differentiate infections caused by Enterobacterales from other pathologies such as sterile inflammation or cancer.
Article
Mathematics, Applied
Dai-Ni Hsieh, Sylvain Arguillere, Nicolas Charon, Laurent Younes
Summary: This paper examines a model for the longitudinal shape evolution, where a three-dimensional volume evolves through the time-derivative of an internal force and includes a regularization to ensure reversible transformations. The existence and uniqueness of solutions are discussed for two different models, and sufficient conditions for the optimal response are derived. This study is important for understanding the growth and atrophy processes in anatomical structures.
SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS
(2022)
Article
Microbiology
Jianhao Lai, Swati Shah, Rekeya Knight, Neysha Martinez-Orengo, Reema Patel, Amelia Mitchell, Zeping Wang, Falguni Basuli, Alvaro A. Ordonez, Sanjay K. Jain, Dima A. Hammoud
Summary: The diagnosis of fungal infections, especially with Aspergillus fumigatus, is still challenging. The study found low uptake of the newly described Enterobacterales imaging ligand FDS by A. fumigatus, suggesting that FDS is not a suitable imaging agent for Aspergillus.
Article
Microbiology
Stefanie Krug, Pankaj Prasad, Shiqi Xiao, Shichun Lun, Camilo A. A. Ruiz-Bedoya, Mariah Klunk, Alvaro A. A. Ordonez, Sanjay K. K. Jain, Geetha Srikrishna, Igor Kramnik, William R. R. Bishai
Summary: Despite advances in TB drug development, multidrug resistance remains a major challenge for global TB control. Host-directed therapies, such as inhibition of the integrated stress response (ISR), have the potential to improve the efficacy of tuberculosis antibiotics. In this study, we evaluated the impact of ISR inhibition on bacterial clearance, relapse, and lung pathology in a mouse model of TB. Our findings suggest that adjunctive ISR inhibition can accelerate bacterial clearance, reduce relapse rates, and improve lung health.
Article
Radiology, Nuclear Medicine & Medical Imaging
Chi-Ming Chang, Karthik K. Ramesh, Vicki Huang, Saumya Gurbani, Lawrence R. Kleinberg, Brent D. Weinberg, Hyunsuk Shim, Hui-Kuo G. Shu
Summary: Histone deacetylase inhibitors (HDACis) modify chromatin compaction by affecting histone acetylation, targeting the epigenetic state of cells. Glioma cells with isocitrate dehydrogenase (IDH) 1 or 2 mutation exhibit changes in their epigenetic state and increased sensitivity to HDACis. Glioma cells expressing mutant IDH1 displayed stronger growth inhibition and apoptosis induction when treated with the HDACi drug belinostat. A phase I trial further showed that glioblastoma patients with mutant IDH1 tumor showed greater sensitivity to belinostat compared to wild-type IDH tumors. IDH mutation status may serve as a biomarker of response to HDACis.
Article
Radiology, Nuclear Medicine & Medical Imaging
Karen Xu, Karthik Ramesh, Vicki Huang, Saumya S. Gurbani, James Scott Cordova, Eduard Schreibmann, Brent D. Weinberg, Soma Sengupta, Alfredo D. Voloschin, Matthias Holdhoff, Peter B. Barker, Lawrence R. Kleinberg, Jeffrey J. Olson, Hui-Kuo G. Shu, Hyunsuk Shim
Summary: This clinical trial assessed the efficacy of combining belinostat with standard-of-care therapy for GBM. The results showed that patients in the belinostat group had longer median overall survival and recurrence in lower radiation dose areas.
Article
Mathematics, Applied
Dai-Ni Hsieh, Sylvain Arguillere, Nicolas Charon, Laurent Younes
Summary: This paper studies a longitudinal shape transformation model that deforms shapes in response to an evolving internal growth potential. The mathematical study of this model proves the uniqueness and long time existence of solutions. Additionally, simulations in 2D isotropic elastic materials are provided to demonstrate the application of this model.
QUARTERLY OF APPLIED MATHEMATICS
(2022)
