The high-throughput analyses era: are we ready for the data struggle?

V D'Argenio - High-throughput, 2018 - mdpi.com
Recent and rapid technological advances in molecular sciences have dramatically
increased the ability to carry out high-throughput studies characterized by big data …

ISAnalytics enables longitudinal and high-throughput clonal tracking studies in hematopoietic stem cell gene therapy applications

G Pais, G Spinozzi, D Cesana… - Briefings in …, 2023 - academic.oup.com
Longitudinal clonal tracking studies based on high-throughput sequencing technologies
supported safety and long-term efficacy and unraveled hematopoietic reconstitution in many …

SiCoDEA: a simple, fast and complete app for analyzing the effect of individual drugs and their combinations

G Spinozzi, V Tini, A Ferrari, I Gionfriddo, R Ranieri… - Biomolecules, 2022 - mdpi.com
The administration of combinations of drugs is a method widely used in the treatment of
different pathologies as it can lead to an increase in the therapeutic effect and a reduction in …

Construction of hospital human resource information management system under the background of artificial intelligence

X Yu, C Zhang, C Wang - Computational and Mathematical …, 2022 - Wiley Online Library
Under the background of artificial intelligence (AI), a human resource information
management system was designed to facilitate hospital human resource management and …

VISPA2: a scalable pipeline for high-throughput identification and annotation of vector integration sites

G Spinozzi, A Calabria, S Brasca, S Beretta, I Merelli… - BMC …, 2017 - Springer
Background Bioinformatics tools designed to identify lentiviral or retroviral vector insertion
sites in the genome of host cells are used to address the safety and long-term efficacy of …

Integration of “omics” Data and Phenotypic Data Within a Unified Extensible Multimodal Framework

S Das, X Lecours Boucher, C Rogers… - Frontiers in …, 2018 - frontiersin.org
Analysis of “omics” data is often a long and segmented process, encompassing multiple
stages from initial data collection to processing, quality control and visualization. The cross …

Digital management systems in academic health sciences laboratories: A scoping review

M Timóteo, E Lourenço, AC Brochado, L Domenico… - Healthcare, 2021 - mdpi.com
Good laboratory practices (GLP) increase the quality and traceability of results in health
sciences research. However, factors such as high staff turnover, insufficient resources, and a …

LIMS and clinical data management

Y Chen, Y Lin, X Yuan, B Shen - Translational Biomedical Informatics: A …, 2016 - Springer
In order to achieve more accurate disease prevention, diagnosis, and treatment, clinical and
genetic data need extensive and systematically associated study. As one way to achieve …

LAS: a bio-clinical integrated laboratory information system for translational data management

A Fiori, A Grand, E Geda, D Schioppa… - … and Practices in …, 2018 - igi-global.com
Rapid technological evolution is providing biomedical research laboratories with huge
amounts of complex and heterogeneous data. The LIMS project Laboratory Assistant Suite …