Multi-center sparse learning and decision fusion for automatic COVID-19 diagnosis.

The coronavirus disease 2019 (COVID-19) pandemic caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a sharp increase in hospitalized patients with multi-organ disease pneumonia. Early and automatic diagnosis of COVID-19 is essential to slow down the spread of this epidemic and reduce the mortality of patients infected with SARS-CoV-2. In this paper, we propose a joint multi-center sparse learning (MCSL) and decision fusion scheme exploiting chest CT images for automatic COVID-19 diagnosis. Specifically, considering the inconsistency of data in multiple centers, we first convert CT images into histogram of oriented gradient (HOG) images to reduce the structural differences between multi-center data and enhance the generalization performance. We then exploit a 3-dimensional convolutional neural network (3D-CNN) model to learn the useful information between and within 3D HOG image slices and extract multi-center features. Furthermore, we employ the proposed MCSL method that learns the intrinsic structure between multiple centers and within each center, which selects discriminative features to jointly train multi-center classifiers. Finally, we fuse these decisions made by these classifiers. Extensive experiments are performed on chest CT images from five centers to validate the effectiveness of the proposed method. The results demonstrate that the proposed method can improve COVID-19 diagnosis performance and outperform the state-of-the-art methods.

Caffeine-Operated Synthetic Modules for Chemogenetic Control of Protein Activities by Life Style.

A genetically encoded caffeine-operated synthetic module (COSMO) is introduced herein as a robust chemically induced dimerization (CID) system. COSMO enables chemogenetic manipulation of biological processes by caffeine and its metabolites, as well as caffeinated beverages, including coffee, tea, soda, and energy drinks. This CID tool, evolved from an anti-caffeine nanobody via cell-based high-throughput screening, permits caffeine-inducible gating of calcium channels, tumor killing via necroptosis, growth factors-independent activation of tyrosine receptor kinase signaling, and enhancement of nanobody-mediated antigen recognition for the severe acute respiratory distress coronavirus 2 (SARS-CoV-2) spike protein. Further rationalized engineering of COSMO leads to 34-217-fold enhancement in caffeine sensitivity (EC50 = 16.9 nanomolar), which makes it among the most potent CID systems like the FK506 binding protein (FKBP)-FKBP rapamycin binding domain (FRB)-rapamycin complex. Furthermore, bivalent COSMO (biCOMSO) connected with a long linker favors intramolecular dimerization and acts as a versatile precision switch when inserted in host proteins to achieve tailored function. Given the modularity and high transferability of COMSO and biCOSMO, these chemical biology tools are anticipated to greatly accelerate the development of therapeutic cells and biologics that can be switched on and off by caffeinated beverages commonly consumed in the daily life.

Medical Imaging Engineering and Technology Branch of the Chinese Society of Biomedical Engineering expert consensus on the application of Emergency Mobile Cabin CT.

Started during December 2019, following the emergence of several COVID-19 cases in Wuhan City, Hubei Province, there was a rapid surge and spread of new COVID-19 cases throughout China. The disease has since been included in the Class B infectious diseases category, as stipulated in the Law of the People's Republic of China on the Prevention and Treatment of Infectious Diseases and shall be managed according to Class A infectious diseases. During the early phases of COVID-19 infection, no specific pulmonary imaging features may be evident, or features overlapping with other pneumonia may be observed. Although CT is not the gold standard for the diagnosis of COVID-19, it nonetheless is a convenient and fast method, and its application can be deployed in community hospitals. Furthermore, CT can be used to render a suggestive diagnosis and evaluate the severity as well as the effects of therapeutic interventions for typical cases of COVID-19. The mobile emergency special CT device described in this document (also known as Emergency Mobile Cabin CT) has several unique characteristics, including its mobility, flexibility, and networking capabilities. Furthermore, it adopts a fully independent isolation design to avoid cross-infection between patients and medical staff. It can play an important role in screening suspected cases presenting with imaging features of COVID-19 in hospitals of various levels that provide care to suspected or confirmed COVID-19 patients as part of the first line procedures of epidemic prevention and control.