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http://dx.doi.org/10.1038/s41389-021-00325-y | DOI Listing |
Cell Death Dis
August 2025
The Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, 126 Xinmin Avenue, Changchun, 130021, China.
J Hepatocell Carcinoma
July 2025
Department of Hepatobiliary Oncology, Liver Cancer Institute, Zhongshan Hospital; Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, People's Republic of China.
Background: Hepatocellular carcinoma (HCC) necessitates novel immunotherapeutic targets. PBK, a cancer/testis antigen (CTA), was identified as a pivotal hub gene influencing prognosis, tumor mutation burden (TMB), and immune microenvironment remodeling.
Methods: PBK was prioritized using weighted gene co-expression network analysis (WGCNA) and differential expression screening in the TCGA-LIHC cohort, intersected with curated CTAs.
BMJ Case Rep
May 2025
Cornea and Anterior Segment Services, Shantilal Shanghvi Eye Institute, Mumbai, Maharashtra, India
Descemet membrane endothelial keratoplasty (DMEK) is the most desirable corneal transplant surgery as it is associated with the least chances of failure due to endothelial rejection and has the fastest visual recovery among corneal transplants. This technically challenging surgery involves several critical steps such as graft unfolding, positioning and correct orientation. Severe pre-existing corneal oedema limits visibility and prolongs the surgical duration, adversely affecting the success.
View Article and Find Full Text PDFLancet Digit Health
May 2025
Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Electronic address:
Background: CT attenuation correction (CTAC) scans are routinely obtained during cardiac perfusion imaging, but currently only used for attenuation correction and visual calcium estimation. We aimed to develop a novel artificial intelligence (AI)-based approach to obtain volumetric measurements of chest body composition from CTAC scans and to evaluate these measures for all-cause mortality risk stratification.
Methods: We applied AI-based segmentation and image-processing techniques on CTAC scans from a large international image-based registry at four sites (Yale University, University of Calgary, Columbia University, and University of Ottawa), to define the chest rib cage and multiple tissues.
Circ Cardiovasc Imaging
July 2025
Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA (W.H., A.S., R.J.H.M., P.B.K., A.K., M.L., D.D., D.S.B., P.J.S.).
Background: Computed tomography (CT) attenuation correction scans are an intrinsic part of positron emission tomography (PET) myocardial perfusion imaging using PET/CT, but anatomic information is rarely derived from these ultralow-dose CT scans. We aimed to assess the association between deep learning-derived cardiac chamber volumes (right atrial, right ventricular, left ventricular, and left atrial) and mass (left ventricular) from these scans with myocardial flow reserve and heart failure hospitalization.
Methods: We included 18 079 patients with cardiac PET/CT from 6 sites.