Jieyu Zhan

ORCID: 0009-0003-8683-8081
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About
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Research Areas
  • Advanced Biosensing Techniques and Applications
  • Advanced Surface Polishing Techniques
  • COVID-19 Clinical Research Studies
  • Digital Imaging for Blood Diseases
  • Optimization and Search Problems
  • Advanced Manufacturing and Logistics Optimization
  • Blood groups and transfusion
  • Amphibian and Reptile Biology
  • Iron Metabolism and Disorders
  • COVID-19 diagnosis using AI
  • Modular Robots and Swarm Intelligence
  • Advanced Measurement and Metrology Techniques
  • Hemoglobinopathies and Related Disorders
  • Advanced machining processes and optimization
  • Machine Learning in Healthcare

Ningbo University
2007-2010

Objectives Identification of abnormal promyelocytes is crucial for early diagnosis Acute promyelocytic leukaemia (APL) and reducing the mortality rate APL patients, which can be achieved by microscopic blood smear observation. However, observation has shortcomings, including interobserver variability training difficulty. This first study evaluating performance MC-100i, an artificial intelligence (AI)-based digital morphology analyser, in identifying smears thus assisting screening APL....

10.3389/fonc.2025.1572838 article EN cc-by Frontiers in Oncology 2025-04-07

Abstract Background Non‐anemic thalassemia trait (TT) accounted for a high proportion of TT cases in South China. Objective To use artificial intelligence (AI) analysis erythrocyte morphology and machine learning (ML) to identify gene carriers non‐anemic population. Methods Digital morphological data from 76 97 controls were collected. The AI technology‐based Mindray MC‐100i was used quantitatively analyze the percentage abnormal erythrocytes. Further, ML construct prediction model. Results...

10.1111/ejh.14160 article EN European Journal Of Haematology 2023-12-28

For its advantages and characteristics of multiple degrees freedom, the industrial robots have been widely used in mold die free-form surfaces polishing. However, too many freedom also bring great difficulties programming process. This paper studies mechanism surface polishing process by an robot, analysis motion planning ending posture operations on robot. By studying algorithm for robot generation NC code based polishing, it laids foundation off-line system developed standard CAD/CAM system.

10.1109/icece.2010.743 article EN International Conference on Electrical and Control Engineering 2010-06-01

<title>Abstract</title> Background The death risk induced by COVID-19 posed tremendous pressure on medical services, resulting in a shortage of critical care resources and heavy disease burden. Developing predictive algorithms based local patient data could be more effective for supporting decisions the level healthcare required. Methods Laboratory test results patients were collected. Five machine learning (ML) approaches applied to develop algorithm in-hospital mortality. Results Our...

10.21203/rs.3.rs-4375849/v1 preprint EN cc-by Research Square (Research Square) 2024-06-04

In this paper, a hydrodynamic suspension nanoscale polishing system based on Computer Numerical Control (CNC) is established. A new type of compliant tool developed, which can realise displacement compensating. Also experiments K9 optical glass, using the fluid mixed with SiC abrasive particles, have been conducted to investigate fundamental machining mechanism. high-quality surface without crystallite dislocation and micro cracks achieved. It shown that removal atomic layers size be done by...

10.1504/ijcat.2007.015276 article EN International Journal of Computer Applications in Technology 2007-01-01
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