2024 3rd International Conference on Biomedical and Intelligent Systems (IC-BIS 2024)
IC-BIS 2024
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Opening Ceremony

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Group Photo

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Keynote Speeches

Prof. Pier Paolo Piccaluga, University of Bologna, Italy

Title: The new classification of hematopoietic and lymphoid tumors: the role of new technologies

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Prof. Zulqarnain Baloch, Kunming University of Science and Technology, China

Title: Confronting Antimicrobial Resistance: A Global Call to Action for Sustainable Development

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Assoc. Prof. Ata Jahangir Moshayedi, Jiangxi University of Science and Technology, China

Title: The potential applications of E-Nose on Medicine

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Prof. Ming Chen, Zhejiang University, China

Title: Big data-based studies on neurodegenerative-related interactome, aging and longevity

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Oral Reports

Dongxu Yu, Beihang University, China

Title: Tongue Image Feature Classification and Gastric Disease Diagnosis Using Deep Learning in Traditional Chinese Medicine


Jiachen Li, Department of Automation, Shanghai Jiao Tong University, China

Title: TFvelo: gene regulation inspired RNA velocity estimation


Zejin Li, Xi’an Jiaotong University, China

Title: The design comparison of colored stimuli for Dynamic Visual Acuity assessment


Zhao Chuan, Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, China

Title: Simultaneous Imaging and Visualizing the Association of Survivin mRNA and Telomerase in Living Cells by Using a Dual-Color Encoded DNA Nanomachine


Yuxuan Chen, Shanghai Jiao Tong University, China

Title: Improved AlphaFold Protein Structure Prediction on Low pLDDT Targets with Diffusion Model and Cryo-EM Guidanc


Yujiao Zhang, Southeast University, China

Title: Investigation of Transcutaneous Auricular Vagus Nerve Stimulation for Neural Modulation Based on Neuroimaging Analysis


Can Wang, Southeast University, China

Title: A Comparative Study on Eye Movement Classification Using ForestEye Classifier and Other Deep Learning Methods


Zhimin Zheng, aTianjin University, Tianjin, China; bChina Mobile Research Institute, Beijing, China

Title: Clustering of IMU-Based Gait Models for Personalized Clinical Gait Analysis


Certificate of oral presentation


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Poster Presentations

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Others

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