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EasySMPC: a simple but powerful no-code tool for practical secure multiparty computation
BackgroundModern biomedical research is data-driven and relies heavily on the re-use and sharing of data. Biomedical data, however, is subject to...
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Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing
Secure multiparty computation (MPC) is a cryptographic tool that allows computation on top of sensitive biomedical data without revealing private...
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SVAT: Secure outsourcing of variant annotation and genotype aggregation
BackgroundSequencing of thousands of samples provides genetic variants with allele frequencies spanning a very large spectrum and gives invaluable...
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MPCDDI: A Secure Multiparty Computation-Based Deep Learning Framework for Drug-Drug Interaction Predictions
Drug-drug interaction (DDI) is a key concern in drug development and pharmacovigilance. It is important to improve DDI predictions by integrating... -
Secure tumor classification by shallow neural network using homomorphic encryption
BackgroundDisclosure of patients’ genetic information in the process of applying machine learning techniques for tumor classification hinders the...
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PP-DDP: a privacy-preserving outsourcing framework for solving the double digest problem
BackgroundAs one of the fundamental problems in bioinformatics, the double digest problem (DDP) focuses on reordering genetic fragments in a proper...
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Efficient privacy-preserving variable-length substring match for genome sequence
The development of a privacy-preserving technology is important for accelerating genome data sharing. This study proposes an algorithm that securely...
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COLLAGENE enables privacy-aware federated and collaborative genomic data analysis
Growing regulatory requirements set barriers around genetic data sharing and collaborations. Moreover, existing privacy-aware paradigms are...
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Privacy-Preserving Analytics, Processing and Data Management
Typically, data cannot be shared among competing organizations due to confidentiality or regulatory restrictions. We present several technological... -
Legal aspects of privacy-enhancing technologies in genome-wide association studies and their impact on performance and feasibility
Genomic data holds huge potential for medical progress but requires strict safety measures due to its sensitive nature to comply with data protection...
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Edge, Fog, and Cloud Against Disease: The Potential of High-Performance Cloud Computing for Pharma Drug Discovery
The high-performance computing (HPC) platform for large-scale drug discovery simulation demands significant investment in speciality hardware,... -
GPU Cloud Architectures for Bioinformatic Applications
The world of computing is constantly evolving. The trends that are sha** today’s applications are Cloud computing and GPU computing. These... -
Privacy-preserving integration of multiple institutional data for single-cell type identification with scPrivacy
The rapid accumulation of large-scale single-cell RNA-seq datasets from multiple institutions presents remarkable opportunities for automatically...
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sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies
Meta-analysis has been established as an effective approach to combining summary statistics of several genome-wide association studies (GWAS)....
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Flimma: a federated and privacy-aware tool for differential gene expression analysis
Aggregating transcriptomics data across hospitals can increase sensitivity and robustness of differential expression analyses, yielding deeper...
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Aggregation Tree Statistical Computing Based on Functional Encryption
The medical monitoring system is widely used. In the medical monitoring system, each user only possesses one piece of data logging that participates...
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ID-Based Public Auditing Protocol for Cloud Storage Data Integrity Checking with Strengthened Authentication and Security
Cloud storage service reduces the burden of data users by storing users’ data files in the cloud. But, the files might be modified in the cloud. So,...
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Towards global traceability for sustainable cephalopod seafood
Cephalopods are harvested in increasingly large quantities but understanding how to control and manage their stocks, and tracking the routes of the...
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Revisiting Rwanda’s agricultural intensification policy: benefits of embracing farmer heterogeneity and crop-livestock integration strategies
The government of Rwanda is promoting agricultural intensification focused on the production of a small number of targeted commodities as a central...
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Digital Farming and Field Robotics: Internet of Things, Cloud Computing, and Big Data
In recent years, agriculture has been facing an increasingly urgent demand to increase food production while reducing the use of various farming...