Sina Wang

Ultrasound-assisted extraction of flavonoids from Blumea balsamifera using deep eutectic solvents: optimization, characterization, and antioxidant evaluation

Wei Dai, Liping Dai, Lei Jin, Rui Pang et autres

Blumea balsamifera , a traditional medicinal herb rich in flavonoids, is recognized for its strong antioxidant potential. In this study, a sustainable extraction strategy combining deep eutectic solvents (DES) and ultrasound-assisted extraction (UAE) was developed to enhance flavonoid recovery. Extraction parameters were …

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Ultrasound-assisted deep eutectic solvent extraction and macroporous resin enrichment of polyphenols from Cortex Mori: Screening of tyrosinase inhibitors via affinity ultrafiltration–LC–MS and molecular docking

Wei Dai, Manqiu Lei, Sina Wang, Lei Jin et autres

Cortex Mori, the dried root bark of Morus alba L., is a rich source of polyphenolic compounds. In this study, an ultrasound-assisted deep eutectic solvent (UAE–DES) strategy was developed for the efficient extraction of polyphenols from Cortex Mori, combined with macroporous resin …

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A multimodal machine learning model for predicting reproductive outcomes in the rare congenital hypogonadotropic hypogonadism after treatment

Xiaomeng Li, Chuyin Ruan, Zebin Wu, Sina Wang et autres

Testicular volume serves as a crucial indicator for evaluating therapeutic outcomes in patients with congenital hypogonadotropic hypogonadism (CHH), which is a rare disease. We aim to develop a multimodal machine learning model that integrates clinical data, testicular ultrasonography, and pituitary magnetic resonance …

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Optimized normalized collision energy and characteristic ion fragments for LC-MS/MS identification of caffeoylquinic acid isomers using cosine similarity

LiangQian Zhang, Wei Dai, Yuan Tian, Ping Luo et autres

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Ultrasound-Assisted green extraction and resin purification of Hypaphorine from Nanhaia speciosa using deep eutectic solvents

Wei Dai, Yiqin Zheng, Nanchen Lai, H. J. Yang et autres

Hypaphorine (HYP), a tryptophan-derived alkaloid with diverse pharmacological activities, was efficiently extracted from Nanhaia speciosa using a green and sustainable approach integrating ultrasound-assisted extraction (UAE), deep eutectic solvents (DESs), and macroporous resin (MAR) purification. The ultrasound-assisted DES extraction process was systematically optimized, …

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Can Machine Learning Models Based on Radiomic and Clinical Information Improve Radiologists' Diagnostic Performance for Bone Tumors? An MRMC Study

Derun Pan, Liyi Yuan, Sina Wang, Hui Zeng et autres

RATIONALE AND OBJECTIVES: To explore whether machine learning models of bone tumors can improve the diagnostic performance of imaging physicians. MATERIALS AND METHODS: Retrospective radiographic and clinical data collection from bone tumor patients to construct multiple machine learning models. Area under the …

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Unlocking the potential of training: enhancing inter-reader agreement in background parenchymal enhancement assessment on contrast-enhanced mammography

Dan-Ping Huang, Sina Wang, Zhendong Luo, Lijun Chen et autres

OBJECTIVE: This study aimed to evaluate the inter-reader agreement of visual background parenchymal enhancement (BPE) assessment on contrast-enhanced mammography (CEM) and determine whether training can improve this assessment. METHODS: Five hundred and forty-eight women who underwent contrast-enhanced mammography from 2018 through 2022 …

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Improvement in matching lesions in dual-view mammograms using a geometric model

Sina Wang, Zeyuan Xu, Bowen Zheng, Hui Zeng et autres

OBJECTIVES: To evaluate the effectiveness of a geometric model (GM) as an adjunctive tool for radiologists to match lesions between craniocaudal (CC) and mediolateral (MLO) views. METHODS: A retrospective study was conducted on 711 patients who underwent mammography from January 2016 to …

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Enhanced discrimination of co-eluting caffeoylquinic acid isomers in complex matrices via UHPLC-Q-Orbitrap HRMS coupled with cosine similarity-based feature vector analysis

Wei Li Dai, Liangqian Zhang, Yuan Tian, Rui Pang et autres

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Contrast-enhanced mammography-based interpretable machine learning model for the prediction of the molecular subtype breast cancers

Mengwei Ma, Weimin Xu, Jun Yang, Bowen Zheng et autres

OBJECTIVE: This study aims to establish a machine learning prediction model to explore the correlation between contrast-enhanced mammography (CEM) imaging features and molecular subtypes of mass-type breast cancer. MATERIALS AND METHODS: This retrospective study included women with breast cancer who underwent CEM …

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Enhancing Specificity in Predicting Axillary Lymph Node Metastasis in Breast Cancer through an Interpretable Machine Learning Model with CEM and Ultrasound Integration

Weimin Xu, Bowen Zheng, Chanjuan Wen, Hui Zeng et autres

IntroductionThe study aims to evaluate the performance of an interpretable machine learning model in predicting preoperative axillary lymph node metastasis using primary breast cancer and lymph node features derived from contrast-enhanced mammography (CEM) and ultrasound (US) breast imaging reporting and data systems …

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Green Extraction and Purification of Hypaphorine from Nanhaia Speciosa Using Deep Eutectic Solvents and Macroporous Resin

Yiqin Zheng, Nanchen Lai, H. J. Yang, Ruifeng Ji et autres

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