Yu Shi

ORCID: 0000-0003-1272-8392
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About
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Research Areas
  • AI in cancer detection
  • Body Contouring and Surgery
  • Textile materials and evaluations
  • Generative Adversarial Networks and Image Synthesis
  • Additive Manufacturing Materials and Processes
  • Additive Manufacturing and 3D Printing Technologies
  • MicroRNA in disease regulation
  • Radiomics and Machine Learning in Medical Imaging
  • Aerogels and thermal insulation
  • Diagnosis and Treatment of Venous Diseases
  • Metal Alloys Wear and Properties
  • Advanced Neural Network Applications
  • Myofascial pain diagnosis and treatment
  • Aluminum Alloy Microstructure Properties
  • CRISPR and Genetic Engineering
  • Single-cell and spatial transcriptomics
  • Diet and metabolism studies
  • Gut microbiota and health
  • Electrospun Nanofibers in Biomedical Applications
  • Currency Recognition and Detection
  • Nutrition, Health and Food Behavior
  • Advanced Queuing Theory Analysis
  • Sports injuries and prevention
  • Pluripotent Stem Cells Research
  • Quality Function Deployment in Product Design

Shanghai East Hospital
2025

Zhejiang University
2023-2024

University of Nebraska–Lincoln
2021-2024

Beijing Academy of Artificial Intelligence
2024

Hunan University
2022-2024

Hong Kong Polytechnic University
2023-2024

Qidong Liver Cancer Prevention Research
2024

Yale University
2023-2024

Second Affiliated Hospital of Zhejiang University
2024

Fujian University of Technology
2023

The integration of artificial intelligence (AI) in ophthalmology has promoted the development discipline, offering opportunities for enhancing diagnostic accuracy, patient care, and treatment outcomes. This paper aims to provide a foundational understanding AI applications ophthalmology, with focus on interpreting studies related AI-driven diagnostics. core our discussion is explore various methods, including deep learning (DL) frameworks detecting quantifying ophthalmic features imaging...

10.1007/s40123-024-00958-3 article EN cc-by-nc Ophthalmology and Therapy 2024-05-11

Objective: This study tested the efficacy of Acceptance and Commitment Therapy (ACT), compared with Cognitive–Behavioral (CBT), in alleviating academic procrastination. Method: A total 60 (53.3% male) undergraduates suffering from procrastination were randomly assigned to two treatment groups (ACT CBT) a control group. The symptoms related psychological mechanisms assessed immediately after closure at 3-month follow-up (FU). Results: Both therapies showed remarkable short-term effects...

10.1177/1049731515577890 article EN Research on Social Work Practice 2015-04-02

Stable and sensitive ctDNA biosensing in complex biological fluid is highly important but still remains a challenge. Herein, we develop spherical nucleic acid reporter-based cascade CRISPR/Cas12a amplifier with improved stability sensitivity (5 orders of magnitude).

10.1039/d2cc00960a article EN Chemical Communications 2022-01-01

Abstract The reproducibility issue is impeding the progress of commercialization in organic photovoltaic (OPV) devices, as difficulty precise micro‐nano structure control bulk heterojunction films, well ineluctable fluctuations molecular weight and polydispersity index synthetic process. Due to such intrinsic properties, poor regioregularity significantly affects batch‐to‐batch variation performance large‐area or integrative scattered OPV devices. Seeking alternatives compensatory strategies...

10.1002/aenm.202302029 article EN Advanced Energy Materials 2023-10-08

Summary Soybean oil is one of the most consumed vegetable oils worldwide. Genetic improvement its concentration in seeds has been historically pursued due to direct association with market value. Engineering attempts aiming increase soybean seed presented different degrees success that varied genetic design and specific variety considered. Understanding embryo’s responses modifications introduced, a critical step successful approaches. In this work, metabolic transcriptional AtWRI1 AtDGAT1...

10.1111/pbi.13810 article EN cc-by-nc Plant Biotechnology Journal 2022-03-20

Studies have primarily simulated the interface pressure and skin surface stress produced by compression textiles or garments with a single level. However, only few studies reported biomechanical transmission behaviors of fabrics from to deeper soft tissues human body, especially within context providing multiple levels. Therefore, address this limitation, study developed novel 3D finite element (FE) models characterize visualize exerted at elastic stockings (ECSs), type typical textiles,...

10.1016/j.matdes.2023.112182 article EN cc-by-nc-nd Materials & Design 2023-07-20

Type 1 diabetes (T1D) is a complex disorder influenced by genetic and environmental factors. The gut microbiome, the serum metabolome, lipidome have been identified as key factors contributing to pathophysiological mechanisms of T1D.We aimed explore microbiota, metabolite, lipid signatures in T1D patients machine learning.We evaluated 137 individuals cross-sectional cohort involving 38 patients, healthy controls, 61 for validation. We characterized profiles with learning approaches (logistic...

10.1016/j.jare.2023.11.025 article EN cc-by-nc-nd Journal of Advanced Research 2023-11-01

Abstract Varicose veins are a prevalent vascular disorder affecting millions of individuals worldwide, and we previously reported transfer RNA-derived fragment (tRF) involvement in varicose veins. This study investigated the role tRF-36 vein pathogenesis. adjacent normal tissues were collected to measure expression Notch 1, 2, 3 smooth muscle cell (SMC) markers SMA-α, SM22α. Human SMCs (HVSMCs) transfected alter levels examine effects on 1–3, tRF-36, SM22α expression. 1–3 higher than...

10.1515/biol-2025-1075 article EN cc-by-nc-nd Open Life Sciences 2025-01-01

The process of aging and metabolism are intricately linked, thus rendering the identification reliable biomarkers related to crucial for delaying process. However, research markers that reflect profiles based on machine learning is scarce.Serum samples were obtained from aged mice (18-month-old) young (3-month-old). LC-MS was used perform a comprehensive analysis serum metabolome screen potential aging-related biomarkers.In total, characterized by 54 different metabolites when compared...

10.3390/biom12111594 article EN cc-by Biomolecules 2022-10-29

Introduction Seed vigor is largely a product of sound seed development, maturation processes, genetics, and storage conditions. It crucial factor impacting plant growth crop yield negatively affected by unfavorable environmental conditions, which can include drought heat as well cold wet The latter leads to slow germination increased seedling susceptibility pathogens. Prior research has shown that class regulators called substituted tertiary amines (STAs) enhance germination, growth,...

10.3389/fpls.2023.1273620 article EN cc-by Frontiers in Plant Science 2024-01-10

The pig skin architecture and physiology are similar to those of humans. Thus, the model is very valuable for studying biology testing therapeutics. single-cell RNA sequencing (scRNA-seq) technology allows quantitatively analyzing cell types, compositions, states, signaling, receptor-ligand interactome at resolution high throughput. scRNA-seq has been used study mouse human skins. However, with still rare. A critical step successful obtain high-quality single cells from tissue. Here we...

10.1371/journal.pone.0263869 article EN cc-by PLoS ONE 2022-02-17

Malware is a prominent security threat and exposing malware behavior critical challenge.Recent often has payload that only released when certain conditions are satisfied.It hence difficult to fully disclose the by simply executing malware.In addition, samples may be equipped with cloaking techniques such as VM detectors stop execution once detecting being monitored.Forced highly effective method penetrate self-protection expose hidden behavior, forcefully setting branch outcomes.However, an...

10.1109/sp40000.2020.00035 article EN 2022 IEEE Symposium on Security and Privacy (SP) 2020-05-01

As an emerging consumer electronic product, the use of unmanned aerial vehicle(UAV) for a variety tasks has received growing attention and favor in enterprise or individual electronics market recent years. The deep neural network based object detectors are convenient to embed into UAV however, drone-captured images could bring potential challenges occlusion, large scale difference complex background these methods because they not desinged detection small tiny objects within images. To...

10.1109/tce.2023.3330788 article EN cc-by IEEE Transactions on Consumer Electronics 2023-11-07

Pancreatic ductal adenocarcinoma (PDAC) presents a critical global health challenge, and early detection is crucial for improving the 5-year survival rate. Recent medical imaging computational algorithm advances offer potential solutions diagnosis. Deep learning, particularly in form of convolutional neural networks (CNNs), has demonstrated success image analysis tasks, including classification segmentation. However, limited availability clinical data training purposes continues to represent...

10.3390/cancers15235496 article EN Cancers 2023-11-21

Weight management is an effective prevention and treatment strategy for diabetes mellitus. This study aimed to assess the knowledge, attitude, practice (KAP) of diabetic patients towards weight management.

10.1186/s12889-024-18392-2 article EN cc-by BMC Public Health 2024-03-29

Physical-based external compression medical modalities could provide sustainable interfacial pressure dosages for daily healthcare prophylaxis and clinic treatment of chronic venous disease (CVD). However, conventional ready-made therapeutic textiles (CTs) with improper morphologies ill-fitting exertions frequently limit patient compliance in practical application. Therefore, the present study fabricated personalized CTs various subjects through proposed comprehensive manufacturing system....

10.3389/fbioe.2024.1405576 article EN cc-by Frontiers in Bioengineering and Biotechnology 2024-06-26

Pancreatic ductal adenocarcinoma (PDAC) presents a critical global health challenge, and early detection is crucial for improving the 5-year survival rate. Recent medical imaging computational algorithm advances offer potential solutions diagnosis. Deep learning, particularly in form of convolutional neural networks (CNNs), has demonstrated success image analysis tasks, including classification segmentation. However, limited availability clinical data training purposes continues to provide...

10.48550/arxiv.2311.05697 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Prostate cancer is the most common noncutaneous and second leading cause of deaths among American men. Statins omega-3 are two medications recently found to correlate with prostate risk aggressiveness, but observed associations complex controversial. We therefore explore novel application radiomics in studying statin usage patients. On MRIs 91 patients, regions interest (ROIs), whole peripheral region prostate, were manually segmented. From each ROI, 944 radiomic features extracted after...

10.3390/diagnostics11010085 article EN cc-by Diagnostics 2021-01-07
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