The University of Tokyo · 의학
Yuqi Zhou 교수의 연구실은 의료영상 기반의 혈소판 응집 및 혈관내 혈전 형성 메커니즘을 고해상도 이미징과 인공지능 기술을 융합해 연구합니다. 특히 마이크로플루이딕 기반 이미징 플로우 사이토미터를 활용해 COVID-19 환자에서의 미세혈관 혈전을 정밀 분석하고, 딥러닝 기반 분류 모델을 통해 질병 간 구분 정확도를 높이는 데 초점을 맞추고 있습니다. 또한 약물 나노결정체의 약물전달 메커니즘과 고등교육기관의 연구 효율 평가 모델 개발 등 다학제적 연구를 전개하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Platelets are anucleate cells in blood whose principal function is to stop bleeding by forming aggregates for hemostatic reactions. In addition to their participation in physiological hemostasis, platelet aggregates are also involved in pathological thrombosis and play an important role in inflammation, atherosclerosis, and cancer metastasis. The aggregation of platelets is elicited by various agonists, but these platelet aggregates have long been considered indistinguishable and impossible to c
Nanocrystals technology for water insoluble drugs delivery has been expanding exponentially, as a robust approach, over the last ten years. Drug nanocrystals are sub-micron colloidal dispersion system of pure drug nanoparticles. Compared to the traditional pharmaceutical dosage forms, nano-crystals formulation presented many extraordinary properties such as enhanced dissolution rate and saturation solubility, high drug loading, excellent reproducibility of oral absorption, improved proportionali
Microvascular thrombosis is a typical symptom of COVID-19 and shows similarities to thrombosis. Using a microfluidic imaging flow cytometer, we measured the blood of 181 COVID-19 samples and 101 non-COVID-19 thrombosis samples, resulting in a total of 6.3 million bright-field images. We trained a convolutional neural network to distinguish single platelets, platelet aggregates, and white blood cells and performed classical image analysis for each subpopulation individually. Based on derived sing
In very old population diagnosed with pulmonary thromboembolism, worse laboratory results, atypical symptoms and physical signs were common. Mortality was very high and comorbid conditions were their features compared to younger patients. PaO2 < 60 mmHg, eGFR < 60 mL/min/1.73m2 and malignancy were positive mortality predictors for all-cause death in very old patients with pulmonary thromboembolism while anticoagulation as first therapy was negative mortality predictors.
Based on the global principal component factor analysis and BCC-DEA model, this paper constructs an evaluation system for research efficiency of higher education institutions, and obtains the evaluation scores of each university based on the relevant data of Liaoning Province in 2020. The results show that: the overall scientific research efficiency of higher education institutions in Liaoning Province is high, but there are still some inefficient colleges and universities, and the management me
ABSTRACT Microvascular thrombosis is a typical symptom of COVID-19 and shows similarities to thrombosis. Using a microfluidic imaging flow cytometer, we measured the blood of 181 COVID-19 samples and 101 non-COVID-19 thrombosis samples, resulting in a total of 6.3 million bright-field images. We trained a convolutional neural network to distinguish single platelets, platelet aggregates, and white blood cells and performed classical image analysis for each subpopulation individually. Based on der
