Objective To investigate the clinical value of hysterosalpingo-contrast-sonography (HyCoSy) with high-pressure syringe injection and time-intensity curve analysis in the diagnosis of women infertility due to tube obstruction.Methods Fifty-six women with infertility underwent HyCoSy with compressive injection of SonoVue with a balloon catheter and high-pressure syringe.Time-intensity curve based on Autotracking Contrast Quatification (ACQ) software was analyzed in all patients.The arrival time (AT) of microbubbles from uterine cavity to tube fimbria was analyzed between partially obstructed tube group and control group.Results The AT in the group of partially obstructed tubes was (3.49 ± 1.70) s,while the AT in the group of freely patent tubes was (1.14-± 0.37)s,there was statistical difference of AT between the group of partially obstructed tubes and the group of freely patent tubes (P =0.000).According to ROC results,the optimization point of AT was 1.65 s,the sensitivity,specificity,positive predictive value and negative predictive value were 92.6％,93.3％,96.2％ and 87.5％,respectively.Conclusions High-pressure syringe injection in HyCoSy is useful for regular administration and high image quality.The AT could be considered as the diagnostic indices in the evaluation of fallopian tube patency for infertile women.

With the outbreak of COVID-19 in the world, Beijing is one of the main areas of the imported cases. As a designated hospital for treatment in Beijing, our hospital set up a negative pressure isolation ward for suspected COVID-19 patients in an emergency, and we quickly organized nursing training, implemented classified management of hospitalized patients. During the whole process of setting up the new ward, all the related staff started working quickly, the logistics department provided goods timely, and the isolation facilities were set tightly. Owing to those, we completed the task of receiving and treating the suspected COVID-19 cases.

Objective To construct a fluorescent expression cell model of botulinum toxin type B light chain(BoNT/B,BLC),and evaluate the effect of small molecule compounds with this model.Methods The BLC gene was inserted into the fluorescent expression vector pEGFP-N1 to construct a recombinant plasmid before being transfected into the neural cell line Neuro-2a cells for expression.The fluorescence expression level of BLC-EGFP protein in the cells was observed under a fluorescence microscope,and the enzyme digestion activity and stability of BLC-EGFP in the cells were detected by Western blotting.Furthermore,the model was used to evaluate the effect of SRC kinase inhibitor KX2-391 on the intracellular stability of BLC-EGFP protein.Results The recombinant expression plasmid pEGFP-N1-BLC was constructed.It was found that the expression level of BCL-EGFP protein in Neuro-2a cells gradually increased over time,and that the intracellular substrate vesicle-associated membrane protein-2(VAMP-2)was cleaved after plasmid transfection.CHX was added to terminate protein synthesis after the plasmid was transfected for 12 h,and the intracellular level of BLC-EGFP did not change significantly within 72 h.Twenty-four hours of treatment with KX2-391 could significantly promote the intracellular degradation of BLC-EGFP protein.Conclusions A cell model of fluorescent expression of botulinum toxin type B light chain has been established,which provides a technical reserve for the subsequent study onthe intracellular persistence mechanism and intracellular antidote screening of botulinum toxin type B light chain.

Liver transplant patients require lifelong immunotherapy， and if they are infected by SARS-Cov-2， their immune function will face double whammy. This report described the integrated approach of traditional Chinese and western medicine in the treatment of a liver transplant patient with severe COVID-19. The treatment was involved with western medicine such as antiviral， immunosuppressive， focusing on maintaining immune balance. Traditional Chinese medicine was given based on the differentiation of syndromes， targeting at the core pathogenesis and using methods such as promoting qi circulation， clearing heat and resolving dampness， draining lung and relieving panting. Following the treatment， the patient exhibited notable improvement in clinical symptoms and liver function， leading to the effective cessation of disease progression and a shortened recovery period.

According to the etiological characteristics of the SARS-CoV-2, our hospital specially sets up a ' Sterilized exclusive cabin ' for the personal hygiene treatment of patients, which is used for the disinfection of discharged patients and their clothes. We adopt different disinfection methods for different items and establish relevant standard procedures. A reasonable end-sterilized process at discharge can effectively eliminate the source of infection, cut off the transmission route, and relieve patients' ideological concerns.

We reported a case of a patient dignosed as tuberculosis and severe malnutrition with coronavirus disease 2019 （critical type） treated with a combination of Chinese medicine and Western medicine. Through the retrospective analysis of the diagnosis and treatment process of this patient， on the basis of Chinese medicine's understanding of the etiology and pathogenesis of “old state” and “deficient state”， the critical coronavirus pneumonia combined with pulmonary tuberculosis and severe malnutrition was mostly due to the physical condition and the invasion of epidemic toxin， resulting in dysfunctions of the internal organs such as the lungs， spleens， kidneys and other organs. Based on the understanding of the cause and mechanism of the coronavirus disease， the treatment combined Chinese and Western medical therapies was given. The western medicine was used with the main treatments of oxygen therapy， anti-viral， intestinal nutritional support， and anti-coagulation， while the Chinese medicine was used by tonifying qi， blood， yin， and yang， warming yang and dissipating cold， and clearing heat and dampness， then tonifying qi， nourishing yin and eliminating heat， in which tonifying middle and replenishing qi ran through the whole process. The integrated treatment eventually improved the patient's symptoms and accelerated the negative conversion of nucleic acid of the coronavirus.

“Cold-dampness entering ying （营）” is the key to the worsening of cold-dampness epidemic， and is more common in the elderly or critically ill cases of cold-dampness epidemic with pathogen exuberance and healthy qi deficiency. This paper reported a case of critically ill COVID-19 combined with multiple organ dysfunction treated by integrative traditional Chinese and western medicine based on “cold-dampness entering ying” theory. The patient did not have high fever after being infected with SARS-Cov-2， but D-dimer continued to increase， and she developed multiple thrombosis throughout the body and multiple organ dysfunctions such as pulmonary embolism， edema， oliguria， and shock. The patient were with enlarged and dusky tongue， with yellow， thick and greasy coating， and sublingual blood stasis， and thready， rapid and rough pulse. All these were characteristic manifestations of “cold-dampness entering ying”， and was differentiated as cold-dampness stasis. For the treatment， symptomatic and supportive western medicine of improving heart function， anti-infection， relieving asthma， stopping cough and reducing phlegm was given as the basic therapy， and additionally， traditional Chinese medicine to open the constraint and the blocked， save from collapse and restore yang， boost qi and relieve collapse， invigorate blood and drain water was used， usually with Modified Poge Zilong Xuanbai Chengqi Decoction （破格子龙宣白承气汤加减）， which was in accordance with the pathogenesis and thus achieving good effect.

This paper reported a case of severe COVID-19 in the recovery stage with acute lymphoblastic leukemia treated by integrated traditional Chinese and western medicine， with the intention of shedding light on the clinical diagnosis and treatment of similar conditions. The patient， who had acute lymphoblastic leukemia， developed COVID-19 infection during the bone marrow suppression period after chemotherapy. Treatment with western medicine was mainly anti-infection， symptomatic management， and supportive care. During the recovery stage， considering the patient's chemotherapy history and disease progression， the overall syndrome was identified as deficiency of both qi and yin and binding of phlegm and blood. Based on the “state-target” combined treatment strategy， herbal prescriptions were selected and modified to address the “deficiency state”， “disease target”， and “symptom target”. In addition to western medicine， the patient was administered with Shengmai Powder （生脉散） and Compound Zhebei Granules （复方浙贝颗粒） in its modifications to boost qi， nourish yin， and reinforce healthy qi， nourish and cool the blood， ultimately achieving satisfactory therapeutic effects.

Advances in biological and medical technologies have been providing us explosive volumes of biological and physiological data, such as medical images, electroencephalography, genomic and protein sequences. Learning from these data facilitates the understanding of human health and disease. Developed from artificial neural networks, deep learning-based algorithms show great promise in extracting features and learning patterns from complex data. The aim of this paper is to provide an overview of deep learning techniques and some of the state-of-the-art applications in the biomedical field. We first introduce the development of artificial neural network and deep learning. We then describe two main components of deep learning, i.e., deep learning architectures and model optimization. Subsequently, some examples are demonstrated for deep learning applications, including medical image classification, genomic sequence analysis, as well as protein structure classification and prediction. Finally, we offer our perspectives for the future directions in the field of deep learning.
Algorithms ; Computational Biology ; methods ; Diagnostic Imaging ; Genomics ; methods ; Humans ; Image Interpretation, Computer-Assisted ; methods ; Machine Learning ; Neural Networks (Computer) ; Protein Structure, Secondary ; Proteins ; metabolism