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SARYGA SAS

SARYGA SAS is listed as a small business research supplier in the Scientist.com network, with 1 site in 1 country.

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Sites 1
Countries 1

Services

What this research supplier says it provides, as listed in the Scientist.com network.

Type of company: Small business

Clinical Consulting

  • Biometrics Consulting Apply statistics and mathematics to drug discovery, clinical trials, and data analysis.
  • Biostatistics Consulting Apply statistical theory and mathematical principals to research
  • Clinical Study Reporting (CSR) Report results of clinical trials to regulatory agencies. This includes participant flow, baseline characteristics, outcome measures, statistical analyses, and adverse events.

Clinical Trials

  • Clinical Trial Design Develop study-related protocols, case report forms (CRFs) and database tools for records management.
  • Statistical Analysis Planning Technical and detailed elaboration of the principal features of the analysis described in the protocol, and includes detailed procedures for executing the statistical analysis of the primary and secondary variables...

Data Science/Bioinformatics

  • Biostatistical Design Use statistics to ensure appropriate pre-clinical and clinical study design.
  • Clinical Biomarker Analysis An approach to finding markers that change in response to a drug or that identify a group that responds favorably to a specific therapy. These can be omics, molecular, histologic, radiologic, etc.
  • Clinical Companion Diagnostics Analysis The process of finding patients who are likely to respond positively to a drug and designing a diagnostic tool to identify this group of patients before or with a therapy.
  • Clinical Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data.
  • Clinical Data Science and Modeling A process that helps make sense of your clinical data
  • Clinical Imaging Diagnostic Analysis An analytical approach to analyzing biological images for diagnostic purposes.
Show all 48 in Data Science/Bioinformatics 42 more
  • Clinical In Silico Drug Dynamics The process to understand drug dynamics by computer analysis and simulation.
  • Clinical In Silico Genomics/Transcriptomics Data Analysis A process that helps make sense of your omics data
  • Clinical Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects
  • Clinical Responder Analysis, Patient Stratification The process of identifying patients that are more likely to respond positively to a drug.
  • Clinical Software Tools Software designed to serve the needs of clinical research groups.
  • Discovery Biomarker Analytics An approach to finding markers that change in response to a drug or that identify a group that responds favorably to a specific therapy. These can be omics, molecular, histologic, radiologic, etc.
  • Discovery Compound Screening Analytics Screening of an entire compound library directly against the drug target or in a more complex assay.
  • Discovery Data Analysis Analysis that helps you make sense of your discovery data
  • Discovery Data Integration The process of combining different complex data types together to make it easier to understand or analyze.
  • 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
  • Discovery Databases Databases specifically designed for drug discovery use.
  • Discovery Drug Response Simulation Analytics Simulation of how a drug responds in different environments, from molecular to population studies.
  • Discovery In Silico Drug Dynamics Develop In Silico model of a drug candidate with a biological system with applications such as Pro-drug Predictions, ADME-PK Due Diligence, Brain-Barrier Permeability Simulation, Drug Absorption Simulation, In Silico...
  • Discovery In Silico Genomics/Transcriptomics Data Analysis A process that helps make sense of your Genomics/Transcriptomics data
  • Discovery In Silico Proteome Analysis Used to understand the global protein environment, specifically drug-protein interactions.
  • Discovery Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
  • Discovery Omics Analytics A process to analyze various omics data (genomics, transcriptomics, proteomics, metabolomics, etc.) This can include the integration of different omics data. Helps to better understand the molecular environment...
  • Discovery Predictive Analytics Analytical approaches to predict how a drug target behaves in a given environment.
  • Discovery Software Tools Software designed to serve the needs of discovery research groups.
  • Discovery Statistical and Mathematical Modeling Use mathematical variables and equations to establish relationships between data.
  • Graph-Based Patient Journey Analysis Graph-based patient journey analysis is a method of visualizing and analyzing the pathways patients take through healthcare systems using graph structures, enabling insights into patient experiences, care patterns...
  • Microarray Data Analysis Visualize and analyze microarray data and facilitate data analysis for large experiments.
  • Proteome Data Analysis Find tools for analysis of homology and similarity, protein function and structural properties.
  • RWE/HEOR Data Science and Modeling A process that helps make sense of your clinical data
  • RWE/HEOR Drug Response Analysis A process to understand how a population is responding to a drug, specifically if there are any adverse events.
  • RWE/HEOR Drug/Therapy Discontinuation Analysis An analysis to understand patient behavior. Are the drugs taken on time, do the patients discontinue use, and if so how long after starting, etc.
  • RWE/HEOR Machine Learning/AI Complex analytical approaches to find patterns and make predictions in RWE/HEOR projects
  • RWE/HEOR Market Analysis A process to understand how a drug is performing in the market and possible opportunities in the market
  • RWE/HEOR Software Tools Software designed to serve the needs of RWE/HEOR research groups.
  • Translational Bioinformatics Different analytical approaches that make, store, and analyze complex biological data.
  • Translational Biomarker Discovery An approach to finding markers that change in response to a drug or that identify a group that responds favorably to a specific therapy. These can be omics, molecular, histologic, radiologic, etc.
  • Translational Data Analysis Analysis that helps you make sense of your translational data
  • Translational Data Curation Generally, human curation of acquired data to assess the quality and reliability of different data.
  • Translational Data Harmonization and Integration Process to combine different data together for better understanding and analysis of the integrated data.
  • Translational Data Knowledge Extraction Analytical approaches to extract data from different sources like publications, databases, etc. 
  • Translational Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data.
  • Translational Data Science and Modeling A process that helps make sense of your translational data
  • Translational In Silico Genomics/Transcriptomics Data Analysis A process that helps make sense of your omics data
  • Translational Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
  • Translational Omics Analytics A process to analyze various omics data (genomics, transcriptomics, proteomics, metabolomics, etc.) This can include the integration of different omics data. Helps to better understand the molecular environment...
  • Translational Software tools Software designed to serve the needs of translational research groups.

HEOR

  • Health Economics and Outcomes Research (HEOR) Evaluate data collected during drug development to maximize the value of a therapeutic product.
Show all 80 services 68 more

Market Access

  • Market Access Materials Find general strategies and methods used to market a pharmaceutical product or device.
  • Market Research & Business Intelligence Run market feasibility studies, establish customer needs, improve product performance and analyze competition.

Medical Communications

  • Data Monitoring Committee (DMC) / Statistical Analysis Center (SAC) Find organizations in order to ensure patient safety and scientific integrity

Primary Market Research

  • Data Cleaning and Statistical Modeling Prepares raw datasets for analysis through validation, normalization, and advanced modeling. Ensures accuracy and enables robust, reproducible insight generation.

Real World Evidence & Data

  • RWE/HEOR Data Analysis Analysis that helps you make sense of your RWE/HEOR data

Scientific Data Services

  • Bayesian Statistics Extract information from data sets that are subject to error or noise to see unobserved possibilities.
  • Bioinformatics Bioinformatics is a powerful method of storing, retrieving and analyzing biological data.
  • 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.
  • Database Integration Convert bioinformatics results from multiple data sources (DSs) into a single operational format.
  • Discovery Computational Systems Biology Model the interaction of biological system with drug candidates.
Show all 21 in Scientific Data Services 15 more
  • Epigenomics Data Analysis Quantify and analyze DNA methylation and/or DNA binding protein data sets.
  • Foundation Model A foundation model is a large-scale AI model trained on extensive datasets, designed to be adaptable for a variety of specific tasks.
  • Genome Data Analysis Analyze genomic DNA, RNA and protein sequence data.
  • 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.)
  • Marker Analyses Identify associations between genetic markers and traits of interest to determine markers responsible for human diseases.
  • Metagenomics Data Analysis Deconvolute the genetic content of genomes contained in environmental samples by utilizing whole genome sequencing techniques to provide insight into microbial communities and host phenotypes.
  • Mutation Data Profiling Guide treatment decisions in cancer based on the identification of genomic mutations .
  • NGS: Next Generation Sequencing Data Analysis Use software to interpret data created by RNA-Seq, DNA-Seq, ChIP-Seq and DNA methylation experiments.
  • Pharmaco-genomics Genetic polymorphism contribution to inter-individual variability in drugs' responses and/or adverse events.
  • Scientific Data Visualization Exploration and reporting of data by means of graphs and plots.
  • Scientific Pipeline Implementation Design, develop and deploy data analyses workflows.
  • Small RNA Gene Expression Quantify and analyze miRNA, piRNA, siRNA as well as other small nuclear RNAs from small-RNA-seq raw input data sets.
  • Software Tools Software tool for statistical analysis, data mining, genome annotation or NGS data analysis.
Website
www.saryga.com

Source: Scientist.com supplier network

Where it operates

Sites by country, with the cities in each.

  • France Tournus 1 site

Source: Scientist.com supplier network (site locations)

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Sources: Scientist.com supplier network.

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