Hydra Platform
Hydra Platform - Related Videos
06:33
Generation and Long-term Maintenance of Nerve-free Hydra
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Cited by 8 •
2017
Through a double treatment with colchicine, a plant-derived toxin that kills dividing cells, nerve-free Hydra vulgaris can be generated. These Hydra cannot feed or egest on their own. This paper describes an improved method for long-term maintenance of nerve free Hydra vulgaris in the laboratory.
07:51
Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
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Cited by 1 •
2018
This article presents a protocol based on Hydra — a web-based system for clinical decision support that integrates a full and detailed set of functionalities and services required by physicians for complete cardiovascular analysis, risk assessment, early diagnosis, treatment, and monitoring over time.
09:10
Generation of Transgenic Hydra by Embryo Microinjection
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Cited by 34 •
2014
Stably transgenic Hydra are made by microinjection of plasmid DNA into embryos followed by random genomic integration and asexual propagation to establish a uniform line. Transgenic Hydra are used to track cell movements, overexpress genes, study promoter function, or knock down gene expression using RNAi.
08:10
Measuring Glutathione-induced Feeding Response in Hydra
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Cited by 9 •
2014
Here we describe a simple assay for the quantification of the feeding response in hydra induced by the reduced form of glutathione. This assay relies on measuring the distance between the apical end of the tentacle and mouth of hydra.
02:35
The Water Maze with Platform Relocation: A Method to Assess Working Memory
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2023
In this video, we describe the Morris water maze test with platform relocation, a navigational task used to study working memory in rodents.
FAQs
Modular components allow data structures, software services, and user-facing tools to be changed or combined without redesigning every connected function. Application programming interfaces provide exchange points between these elements. This separation can reduce duplicated capabilities across systems and helps teams adapt workflows when datasets, computational methods, or clinical requirements change.
Application programming interfaces connect structured data, software services, and user-facing tools so that systems can exchange information. In medical and biomedical settings, this connectivity helps coordinate functions that might otherwise remain isolated. It also allows diagnostic applications, analytical tools, and workflow components to participate in a shared digital environment without requiring every system to perform the same role.
The platform supports reproducibility by organizing information and workflows through connected, modular components rather than treating each process as an isolated task. Linking structured data with software services and analytical or user-facing tools creates a more consistent framework for carrying out and coordinating processes. This is relevant when research or clinical teams need workflows that remain understandable as tools and datasets change.
Duplication can decrease when separate systems exchange information and share modular services through defined interfaces. Instead of rebuilding similar functions for each clinical or research application, teams can coordinate existing data, computational methods, and user-facing tools within the broader architecture. The resulting arrangement supports more efficient integration while preserving the ability to modify individual components as requirements evolve.
Relevant workflows include clinical data management, biomedical research processes, diagnostic applications, and analytical tools. Its value comes from connecting these areas rather than limiting the platform to one type of task. In medicine, that coordination can support relationships between clinical information, research activities, computational analysis, and applications used to present or act on the resulting information.
In translational research, teams can use the platform’s connected architecture to relate clinical data, research workflows, computational methods, and analytical tools. This arrangement supports movement between medical information and biomedical investigation while accommodating changes in datasets or methods. It is also relevant to developing scalable digital health applications that can evolve as research and clinical requirements develop.
Hydra Platform can support coordinated information handling, integrated workflows, and adaptation as digital health requirements change. Its modular structure makes it suitable for applications that must connect data, services, and user-facing tools while avoiding unnecessary duplication. In healthcare informatics and biomedical research, this can provide a foundation for extending applications as datasets, computational approaches, and clinical needs evolve.