In-Memory Computing Accelerator for Bioinformatics
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A general-purpose accelerator for bioinformatics workloads using 3D DRAM-based processing-in-memory architecture
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A general-purpose accelerator for bioinformatics workloads using 3D DRAM-based processing-in-memory architecture
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Accelerating bioinformatics workloads using Intel AMX and IAA technologies with application note documentation
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TCAD-based research on utilizing 3D DRAM for efficient graph processing and data analytics
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Research on specialized hardware accelerators for genomic sequence analysis and graph construction architectures like SeGraM
Short description of portfolio item number 2 
Published in Proceedings of 2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS), 2020
Conference presentation at IEEE NEMS 2020 on microfluidic platform development for cholangiocarcinoma diagnosis using affinity-based biomarker detection.
Recommended citation: Tsung-Han Lu et al. (2020). "An Integrated Microfluidic Platform for Cholangiocarcinoma Diagnosis from Clinical Bile Juice Samples by Utilizing Multiple Affinity Reagents." In Proceedings of the 2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS).
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Published in National Tsing Hua University Electronic Theses and Dissertations System, 2021
Master thesis on developing an integrated microfluidic platform for cholangiocarcinoma diagnosis using multiple affinity-based reagents and biomarker detection.
Recommended citation: Tsung-Han Lu. (2021). "An Integrated Microfluidic Platform for Cholangiocarcinoma Diagnosis from Clinical Bile by Utilizing Multiple Affinity Reagents." Master's thesis, National Tsing Hua University.
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Published in Sensors and Actuators B: Chemical, 2021
Investigation of exfoliated tumor cells in bile as biomarkers for cholangiocarcinoma disease status assessment.
Recommended citation: Tsung-Han Lu. et al. (2021). "Exfoliated Tumor Cells in Bile as a Promising Indicator of Disease Status in Cholangiocarcinoma." Sensors and Actuators B: Chemical.
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Published in Sensors and Actuators B: Chemical, 2022
Development of an integrated microfluidic platform for rapid and accurate cholangiocarcinoma diagnosis using specific affinity probes.
Recommended citation: Tsung-Han Lu et al. (2022). "An Integrated Microfluidic System for Cholangiocarcinoma Diagnosis from Bile by Using Specific Affinity Probes." Sensors and Actuators B: Chemical.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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