Yubin Yao

ORCID: 0000-0002-9287-6354
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About
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Research Areas
  • Radiomics and Machine Learning in Medical Imaging
  • Sarcoma Diagnosis and Treatment
  • Osteoarthritis Treatment and Mechanisms
  • Bone Tumor Diagnosis and Treatments
  • Advanced Sensor and Energy Harvesting Materials
  • Cancer Diagnosis and Treatment
  • Bone health and treatments
  • Management of metastatic bone disease
  • Laser Applications in Dentistry and Medicine
  • FOXO transcription factor regulation
  • Inflammatory mediators and NSAID effects
  • Organometallic Compounds Synthesis and Characterization
  • Neuroscience and Neural Engineering
  • Cancer Genomics and Diagnostics
  • Renal and related cancers
  • Planarian Biology and Electrostimulation
  • Thyroid Cancer Diagnosis and Treatment
  • Carcinogens and Genotoxicity Assessment
  • Metal and Thin Film Mechanics
  • Silicone and Siloxane Chemistry
  • Cancer Cells and Metastasis
  • Pancreatic and Hepatic Oncology Research
  • Cancer-related gene regulation
  • Advanced X-ray and CT Imaging
  • Angiogenesis and VEGF in Cancer

Beijing Tongren Hospital
2024-2025

Capital Medical University
2024-2025

Ruijin Hospital
2023-2025

Shanghai Jiao Tong University
2023-2025

Shantou Central Hospital
2018-2024

First Affiliated Hospital of Wenzhou Medical University
2021-2023

Wenzhou Medical University
2021-2023

The monitoring of tissue regeneration is particularly important. However, most materials do not allow direct observation the process in cartilage layer. Here, using sulfhydryl polyhedral oligomeric silsesquioxane (POSS-SH) as a nano-construction platform, poly(ethylene glycol) (PEG), Kartogenin (KGN), hydrogenated soya phosphatidylcholine (HSPC), and fluorescein are linked through "click chemistry" method to construct nanomaterial with fluorescence visualization for repair: POSS PEG, KGN,...

10.1002/advs.202207438 article EN cc-by Advanced Science 2023-03-27

CT is increasingly detecting thyroid nodules. Prior studies indicated a potential role of CT-based radiomics models in characterizing nodules, although these lacked external validation.

10.2214/ajr.24.31077 article EN American Journal of Roentgenology 2024-05-01

Electrical stimulation enhances cellular activity, promoting tissue regeneration and repair. However, specific cells maintaining a stable energy supply are challenges for precise cell electrical therapy. Here, force-electric conversion hydrogel microspheres (Piezo@CR MPs) is devloped to induce stem aggregation promote chondrogenic differentiation through localized stimulation. These MPs contain barium titanate (BT) nanoparticles embedded in hyaluronic acid methacrylate MPs, with polydopamine...

10.1002/adma.202414555 article EN Advanced Materials 2024-12-10

To prepare a novel hyaluronic acid methacrylate (HAMA) hydrogel microspheres loaded polyhedral oligomeric silsesquioxane-diclofenac sodium (POSS-DS) patricles, then investigate its physicochemical characteristics and in vitro vivo biological properties.Using sulfhydryl POSS (POSS-SH) as nano-construction platform, polyethylene glycol DS were chemically linked through the "click chemistry" method to construct functional nanoparticle POSS-DS. The composition was analyzed by nuclear magnetic...

10.7507/1002-1892.202302105 article EN PubMed 2023-08-15

<title>Abstract</title> <bold>Background: </bold>Osteosarcoma is the most prevalent primary malignant bone tumor. Radiomic models demonstrate promise in globally evaluating prognosis of osteosarcoma; however, they lack biological interpretability. We aimed to develop a radiomic model using MRI predict disease-free Survival (DFS) osteosarcoma patients, and provide underlying pathobiology model. <bold>Methods:</bold> This retrospective study included 270 patients (training set, n=166; external...

10.21203/rs.3.rs-4942890/v1 preprint EN cc-by Research Square (Research Square) 2024-10-15

Abstract Purpose: To develop a radiomics-based model from preoperative magnetic resonance imaging (MRI) for predicting the histopathological grades of myxofibrosarcoma. Methods: This retrospective study included 54 patients. The tumors were classified into high-grade and low-grade tumor size, signal intensity heterogeneity, margin, surrounding tissue evaluated on MRI. Using least absolute shrinkage selection operator (LASSO) algorithms, 1037 radiomics features obtained fat-suppressed...

10.21203/rs.3.rs-2848910/v1 preprint EN cc-by Research Square (Research Square) 2023-04-27
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