Prof. Rong Wu stands out as a strong candidate for the “Best Researcher Award” based on her impressive research credentials and contributions to the field of cardiovascular ultrasound diagnostics and imaging. Below is an evaluation of her suitability for the award
Education 🎓:
- Ph.D. Degree: Shanghai Jiao Tong University School of Medicine
Work Experience 💼:
- Current Position: Director of the Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
- Specialization:
- Cardiovascular diseases ultrasound diagnosis 💗🩺
- Artery photoacoustic molecular imaging 🧬🔬
- Non-invasive intelligent precision theranostic systems for vulnerable plaques using multiparameter ultrasound and AI 🤖📊
Achievements 🌟:
- Presided over several national, provincial, and ministerial projects, including:
- Key Program of the National Natural Science Foundation of China 🏆
- Three General Programs of the National Natural Science Foundation of China 🧪📚
- Published 80+ scientific papers as the first or corresponding author 📄✨
Awards & Honors 🏅:
- Recognized for contributions to medical imaging and cardiovascular diagnostics 🏥🔍
- Renowned expert in innovative non-invasive ultrasound techniques 🎖️
Publication Top Notes:
Downgrading Breast Imaging Reporting and Data System categories in ultrasound using strain elastography and computer-aided diagnosis system: a multicenter, prospective study
Cascade piezocatalytic nanoprodrug for synergistic piezocatalytic therapy and sono-activated chemotherapy-augmented immunotherapy
Quantitative evaluation using carotid ultrasonography-based high-frame-rate vector flow imaging in patients with low carotid stenosis
Combining Potential Strain Elastography and Radiomics for Diagnosing Breast Lesions in BI-RADS 4: Construction and Validation a Predictive Nomogram
Intraplaque neovascularization combined with plaque elasticity for predicting ipsilateral stroke in patients with asymptomatic mild carotid stenosis
The Emergence of the Potential Therapeutic Targets: Ultrasound-Based Radiomics in the Prediction of Human Epidermal Growth Factor Receptor 2-Low Breast Cancer