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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Privacy-preserving Model Training for Disease Prediction Using Federated Learning with Differential PrivacyAmol Khanna, Vincent Schaffer, Gamze Gursoy, et al.Cell Reports. Physical Science|January 27, 2025
A variational graph-partitioning approach to modeling protein liquid-liquid phase separationGaoyuan Wang, Jonathan Warrell, Suchen Zheng, et al.Plos One|December 4, 2024
Deep learning analysis of fMRI data for predicting Alzheimer's Disease: A focus on convolutional neural networks and model interpretabilityXiao Zhou, Sanchita Kedia, Ran Meng, et al.Nature Communications|February 7, 2020
Estimating growth patterns and driver effects in tumor evolution from individual samplesLeonidas Salichos, William Meyerson, Jonathan Warrell, et al.Nature Communications|September 12, 2020
Predicting the frequencies of drug side effectsDiego Galeano, Shantao Li, Mark Gerstein, et al.Journal of Vascular Surgery|November 5, 2017
Predictors of delayed wound healing after successful isolated below-the-knee endovascular intervention in patients with ischemic foot ulcersSushant Kumar Das, Yi Feng Yuan, Mao Quan LiBioscience Reports|February 15, 2018
Specific PKC βII inhibitor: one stone two birds in the treatment of diabetic foot ulcersSushant Kumar Das, Yi Feng Yuan, Mao Quan LiInternational Journal of Applied & Basic Medical Research|June 24, 2024
Effectiveness of Scenario-based Roleplay as a Method of Teaching Soft Skills for Undergraduate Medical StudentsK M Lavanya, Lava Kumar Somu, Sushant Kumar MishraSurgical Neurology International|May 20, 2022
Relying too much on upfront radiosurgery: Indolent course misinterpreted as effectiveness of radiosurgery in a case of skull base chondrosarcomaPuneet Malik, Sushant Kumar Sahoo, Kirti Gupta, et al.Genome Biology|November 10, 2020
SVFX: a machine learning framework to quantify the pathogenicity of structural variantsSushant Kumar, Arif Harmanci, Jagath Vytheeswaran, et al.Pageof 61