東京大学 · 医学
周宇琪教授の研究室は、画像認識技術と機械学習を応用したバイオメディカルインフォマティクスを柱としています。特に、血小板凝集の異常な挙動を高スループットな画像フローサイトメトリーと深層学習で分類・解析し、COVID-19や血栓症の病態解明に貢献しています。また、薬物ナノクリスタルのドラッグデリバリー技術や、大学の研究効率評価のための統計的・経済的モデル構築についても研究を展開しています。
Figures are computed from collected data and may differ slightly.
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
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