日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Granular Biphasic Colloidal Hydrogels for 3D Bioprinting

用于3D生物打印的颗粒状双相胶体水凝胶

期刊:Advanced Healthcare Materials
影响因子:9.6
doi:10.1002/adhm.202303810
Deo, Kaivalya A; Murali, Aparna; Tronolone, James J; Mandrona, Cole; Lee, Hung Pang; Rajput, Satyam; Hargett, Sarah E; Selahi, Amirali; Sun, Yuxiang; Alge, Daniel L; Jain, Abhishek; Gaharwar, Akhilesh K
3D/类器官
发表日期：2024
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Angiogenesis-Enabled Human Ovarian Tumor Microenvironment-Chip Evaluates Pathophysiology of Platelets in Microcirculation.

血管生成促进的人类卵巢肿瘤微环境芯片评估微循环中血小板的病理生理学

期刊:Advanced Healthcare Materials
影响因子:9.6
doi:10.1002/adhm.202304263
Ghosh Lopamudra D, Mathur Tanmay, Tronolone James J, Chuong Ashley, Rangel Kelly, Corvigno Sara, Sood Anil K, Jain Abhishek
肿瘤
Human
血管生成
发表日期：2024
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Engineering Lymphangiogenesis-On-Chip: The Independent and Cooperative Regulation by Biochemical Factors, Gradients, and Interstitial Fluid Flow.

芯片上淋巴管生成工程：生化因素、梯度和间质液流动的独立和协同调控

期刊:Advanced Biology
影响因子:3.2
doi:10.1002/adbi.202400031
Tronolone James J, Mohamed Nadin, Jain Abhishek
信号转导
发表日期：2024
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AngioMT: A MATLAB based 2D image-to-physics tool to predict oxygen transport in vascularized microphysiological systems

AngioMT：一种基于MATLAB的二维图像到物理模型工具，用于预测血管化微生理系统中的氧气传输。

期刊:PLoS One
影响因子:2.9
doi:10.1371/journal.pone.0299160
Tanmay Mathur ，James J Tronolone ，Abhishek Jain
发表日期：2024
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Machine learning chained neural network analysis of oxygen transport amplifies the physiological relevance of vascularized microphysiological systems

机器学习链式神经网络对氧气运输的分析增强了血管化微生理系统的生理相关性

期刊:Bioengineering & Translational Medicine
影响因子:6.1
doi:10.1002/btm2.10582
James J Tronolone, Tanmay Mathur, Christopher P Chaftari, Yuxiang Sun, Abhishek Jain
神经
发表日期：2023
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Evaluation of the Morphological and Biological Functions of Vascularized Microphysiological Systems with Supervised Machine Learning

利用监督式机器学习评估血管化微生理系统的形态学和生物学功能

期刊:Annals of Biomedical Engineering
影响因子:3
doi:10.1007/s10439-023-03177-2
James J Tronolone ，Tanmay Mathur ，Christopher P Chaftari ，Abhishek Jain
发表日期：2023
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Evaluation of the morphological and biological functions of vascularized microphysiological systems with supervised machine learning

利用监督式机器学习评估血管化微生理系统的形态学和生物学功能

期刊:
影响因子:
doi:10.1101/2023.01.12.523755
Tronolone, James J; Mathur, Tanmay; Chaftari, Christopher P; Jain, Abhishek
发表日期：2023
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AngioMT: An in silico platform for digital sensing of oxygen transport through heterogenous microvascular networks

AngioMT：一种用于数字化感知异质微血管网络中氧气传输的计算机模拟平台

期刊:
影响因子:
doi:10.1101/2023.01.09.523275
Mathur, Tanmay; Tronolone, James J; Jain, Abhishek
发表日期：2023
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Engineering new microvascular networks on-chip: ingredients, assembly, and best practices

在芯片上构建新型微血管网络：成分、组装和最佳实践

期刊:Advanced Functional Materials
影响因子:19
doi:10.1002/adfm.202007199
Tronolone, James J; Jain, Abhishek
发表日期：2021
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Human tumor microenvironment chip evaluates the consequences of platelet extravasation and combinatorial antitumor-antiplatelet therapy in ovarian cancer

人类肿瘤微环境芯片评估卵巢癌血小板外渗及抗肿瘤-抗血小板联合治疗的后果

期刊:Science Advances
影响因子:11.7
doi:10.1126/sciadv.abg5283
Biswajit Saha, Tanmay Mathur, James J Tronolone, Mithil Chokshi, Giriraj K Lokhande, Amirali Selahi, Akhilesh K Gaharwar, Vahid Afshar-Kharghan, Anil K Sood, Gang Bao, Abhishek Jain
肿瘤
卵巢癌
血小板
Human
发表日期：2021
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