Computas AS

Computas AS is listed as a mid sized business research supplier in the Scientist.com network, with 1 site in 1 country.

Search companies, drugs, suppliers and investigators, and follow each one to the others. Individual plan, $249/seat/mo. Card required.

Sites 1

Countries 1

Type of company: Mid sized business

Clinical Data Science and Modeling A process that helps make sense of your clinical data
Discovery Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users.
Discovery Data Science and Modeling A process that helps make sense of your discovery data
Translational Data Science and Modeling A process that helps make sense of your translational data

Bayesian Statistics Extract information from data sets that are subject to error or noise to see unobserved possibilities.
Cloud Computing Request on-demand computer resources specifically relating to large data storage and computing power.
Data and Text Mining Derive structured data from free text in order to become accessible for data-mining algorithms.
Data Curation Organize and integrate data collected from various sources to ease data discovery and retrieval.
Data Infrastructure Design and deploy an information management solution suited to users' specific needs.
Data Lineage & Quality Track the various processes through which data has been created, edited or exchanged.

Show all 15 in Scientific Data Services 9 more

Data Quality Framework Manage data quality issues to maintain good quality data outputs.
Database Integration Convert bioinformatics results from multiple data sources (DSs) into a single operational format.
High-Performance Computing Compute using higher performing parallel processing.
Large Language Models Use of Large Language models in target discovery, clinical trial design and development, analysis of clinical trial data and regulatory submissions. Services are tailored to the problem, specific context of biopharma.
Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
Scientific Data Visualization Exploration and reporting of data by means of graphs and plots.
Scientific Pipeline Implementation Design, develop and deploy data analyses workflows.
Semantic Tech & Triplestores Store and retrieve semantic facts.
System Development Plan, create and deploy an information system.

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