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

Aptamers targeting immune checkpoints for tumor immunotherapy: a comprehensive review

靶向免疫检查点的适体在肿瘤免疫治疗中的应用:一项综合综述

Gedla, Manas Kumar; Kotla, Renuka Sai Priya; Kumar, Revathy; Kamesh, Venkatesh; S, Joshua; Kamalakannan, Dhanabalan; Ramasamy, Jubilee

Superior transplant recipient outcome prediction and pathology assessment using rapid deep learning applied to procurement kidney biopsies

利用快速深度学习技术对肾活检样本进行更优的移植受者预后预测和病理评估

Gaut, Joseph P; Marsh, Jon N; Chen, Ling; Zhang, Fan; Yu, Xiaobing; Wilson, Parker; Liu, Ta-Chiang; Swamidass, S Joshua

Complex regulatory networks influence pluripotent cell state transitions in human iPSCs

复杂的调控网络影响人类诱导多能干细胞的多能性状态转变

Arthur, Timothy D; Nguyen, Jennifer P; D'Antonio-Chronowska, Agnieszka; Matsui, Hiroko; Silva, Nayara S; Joshua, Isaac N; Luchessi, André D; Greenwald, William W Young; D'Antonio, Matteo; Pera, Martin F; Frazer, Kelly A

Development of a deep learning algorithm for Paneth cell density quantification for inflammatory bowel disease

开发一种用于炎症性肠病潘氏细胞密度定量分析的深度学习算法

Kang, Liang-I; Sarullo, Kathryn; Marsh, Jon N; Lu, Liang; Khonde, Pooja; Ma, Changqing; Haritunians, Talin; Mujukian, Angela; Mengesha, Emebet; McGovern, Dermot P B; Stappenbeck, Thaddeus S; Swamidass, S Joshua; Liu, Ta-Chiang

GAiN: An integrative tool utilizing generative adversarial neural networks for augmented gene expression analysis

GAiN:一种利用生成对抗神经网络增强基因表达分析的集成工具

Waters, Michael R; Inkman, Matthew; Jayachandran, Kay; Kowalchuk, Roman M; Robinson, Clifford; Schwarz, Julie K; Swamidass, S Joshua; Griffith, Obi L; Szymanski, Jeffrey J; Zhang, Jin

Disentangling Socioeconomic Status and Race in Infant Brain, Birth Weight, and Gestational Age at Birth: A Neural Network Analysis.

通过神经网络分析,揭示婴儿大脑、出生体重和出生时胎龄与社会经济地位和种族之间的关系

Sarullo Kathryn, Barch Deanna M, Smyser Christopher D, Rogers Cynthia, Warner Barbara B, Miller J Philip, England Sarah K, Luby Joan, Swamidass S Joshua

Role of Artificial Intelligence in Kidney Pathology: Promises and Pitfalls

人工智能在肾脏病理学中的作用:机遇与挑战

Goodman, Kyle; Sarullo, Kathryn; Swamidass, S Joshua; Gaut, Joseph P; Jain, Sanjay

Understanding and mitigating the impact of race with adversarial autoencoders

利用对抗性自编码器理解和减轻种族的影响

Sarullo, Kathryn; Swamidass, S Joshua

Beneficial Effect of Remote Glucose Monitoring and Computerized Insulin Dose Adjustment Algorithms Independent of Insulin Dose Increases in Sizeable Minorities of Patients

远程血糖监测和计算机化胰岛素剂量调整算法的有益效果,与相当一部分患者的胰岛素剂量增加无关

Davidson, Mayer B; Davidson, S Joshua; Duran, Petra

Message Passing Neural Networks Improve Prediction of Metabolite Authenticity

消息传递神经网络提高了代谢物真实性预测的准确性

Flynn, Noah R; Swamidass, S Joshua