Drug discovery is the process how new medications are discovered. In history, drugs were mostly found by identifying active ingredients from traditional medicines or purely by chance. Afterward, classical pharmacology was used to investigate chemical libraries including small molecules, natural products, or plant extracts, and find those with therapeutic effects. Since human DNA was sequenced, reverse pharmacology has found remedies to existing diseases through testing.
Disease processes, molecular compound tests, existing treatments with unanticipated effects, and new technologies spur drug discovery through the cycle below.
Today drug discovery involves screening hits, medicinal chemistry, and optimization of hits to reduce potential drug side effects (increasing affinity and selectivity). Efficacy or potency, metabolic stability (half-life), and oral bioavailability are also improved in this step of the drug development process.
High content screening (HCS) has played a significant role in infectious disease research and drug discovery to date and can be a strong tool in the age of COVID-19 and beyond.
With a focus on viral diseases, HCS has been used by laboratories around the world to help with three key interventional strategies:
With the development of diagnostic imaging devices, large amounts of digital high-res and 3D images are generated every day. The requirements of effective indexing and searching image are growing rapidly. Image annotation is an effective way for content-based image retrieval.
When researchers start to collaborate over distances with imaging centers, using diagnostic services over internet connections the bandwidth and computation power easily exceeds the capabilities in remote areas.
RAW DATA in laboratories occur in various fluctuating formats and versions in a large amount of laboratory devices, LIMS and quality management systems. Handling and traceability along the whole life cycle are key to lab control and end-to-end compliance in the drug development process.
The last few years have seen tremendous consolidation in both the pharmaceutical and contract research industries. The impact among pharma companies has created a heightened demand for productivity. Properly designed CRO Collaboration opens capabilities in various functions like the following:
Comprehensive Imaging Science solution for research and production imaging processes. Process support that covers the whole workflow from imaging to conclusions. Improve and integrate image production, data ingestion/archiving, storage, access, analysis strategy, QA/QC, computation at scale, review of results, and implementation of custom algorithms and AI.
Quality Management System with features to secure and control data & documents. Collaborative platform for regulated content, processes and end-to-end compliance along the complete life sciences life cycle. Powerful and intuitive navigation, enhanced user experience, dynamic content management and search features. Connecting quality teams globally.
Trial Master File solution to securely review and audit TMF documentation. Digital process support with form-based workflow for the complete (pre-) clinical document processes. Visualize real-time completeness based on study, country and site indicators. Apply filters and different dimensions, view metadata to intuitively navigate through complex eTMF filings
Document and project management solution for life science. Tools for operations and oversight teams to prepare and review documents and records for the completion and successful submissions and correspondence. User centric collaboration, automation and quality workflows featuring the life cycle of documents and dossiers from authoring to (re-) submission.
arivis BM-Watcher is a 21 CFR Part 11 raw data management solution for the pharmaceutical industry. It integrates with nearly all types of laboratory instruments. It is able to provide data integrity features even for legacy systems. arivis BM-Watcher is an agent that is able to monitor the file storage of a laboratory device.
Complete document management, training management, CAPA, deviations, change control - all in one tool.
arivis BM-Watcher is a 21 CFR Part 11 raw data management solution for the pharmaceutical industry. It integrates with nearly all types of laboratory instruments. It is able to provide data integrity features even for legacy systems.
Modular software toolkit for extracting results from scientific images. Adjusts to hardware for maximum power and smooth interactivity on image datasets of unlimited size. Brings diverse tools into one environment and enables users to connect them into productive workflows. Highly interactive for optimization and quality at every step. Extendible directly via Python and connectable to other applications via libraries.
Display real image data in Virtual Reality by utilizing patent pending direct volume rendering techniques with no need to convert data or make surface models. Directly use your hands to move, rotate, scale, and shape your digital image data. Interactively proofread, edit, track or segment multi-dimensional images from nearly any source instrument.
A nucleus of computational activity and collaboration at scale. VisionHub enables design and execution of large-scale experiments that produce results from images, whether datasets are already stored or are actively being produced. Mass quantities of Imagery are onboarded and processed by a virtual team of computational workers. Smartly utilize processing cores in servers or workstations with the maximum speeds possible.