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UVJ Technologies LLC

UVJ Technologies LLC is listed as a new startup research supplier in the Scientist.com network, with 3 sites in 2 countries.

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Sites 3
Countries 2

Services

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

Type of company: New startup

Bioimaging

  • Mass Spectrometry Imaging Visualize the spatial distribution of molecules, as biomarkers, metabolites, peptides or proteins by their molecular masses

Biomarkers

  • Digital Biomarkers Objective, quantifiable physiological and behavioral data that are collected and measured by means of digital devices such as portables, wearables, implantables, or digestibles.

Chemical and Compound Analysis

  • NMR Structure Determine molecular structure, identify chemical impurities and validate sample integrity.
  • Structural Chemistry Examine the relationship between protein structure and function.

Chemistry, Manufacturing and Controls (CMC)

  • Medical Device Manufacturing Prototyping and Short run production

Clinical Consulting

  • Biometrics Consulting Apply statistics and mathematics to drug discovery, clinical trials, and data analysis.
  • Data & Risk Management Determine the extent of the risk and the reliability of the data used to access the aforementioned risk.

Clinical Trials

  • 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...

Creative

  • Infographic Create a quick visual representation of information, data or knowledge.

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 Analysis Analysis that helps you make sense of your clinical data
  • 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
Show all 45 in Data Science/Bioinformatics 39 more
  • Clinical Imaging Diagnostic Analysis An analytical approach to analyzing biological images for diagnostic purposes.
  • 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.
  • Clinical Trial Integration Analysis The process of combining data from multiple clinical trials to understand categories of drugs and drug behavior in a more global way.
  • Discovery Bioinformatics Different analytical approaches that make, store, and analyze complex biological data.
  • 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 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.
  • Proteome Data Analysis Find tools for analysis of homology and similarity, protein function and structural properties.
  • RWE/HEOR Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data.
  • RWE/HEOR Data Science and Modeling A process that helps make sense of your clinical data
  • RWE/HEOR Machine Learning/AI Complex analytical approaches to find patterns and make predictions in RWE/HEOR projects
  • 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.
Show all 113 services 98 more

Discovery Chemistry

  • Discovery Computational Chemistry Model the interaction of a drug candidate with protein targets such as kinases, GPCRs, receptors, ion channels or enzymes.
  • Virtual Screening Use software algorithms to virtually screen millions of potential compounds and peptides for binding.

Disease Models

  • Electroencephalogram EEG Models Record electrical activity along the scalp of animal models or human patients.
  • Object Recognition Measure spatial navigation, working memory and cognitive function in animal models.

Drug Development

  • Bioinformatics Consulting Consulting Services for the science of collecting and analyzing complex biological data
  • Chemoinformatics Consulting The use of computer and informational techniques applied to a range of problems in the field of chemistry.

General Marketing

  • Database Management Software Facilitate the collection, tracking and processing of biological facts, statistics and observations.

Management Optimization & Development Strategies

  • Big Data Computational assistance with analysis of large data sets to reveal patterns, trends and associations

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 Visualization Visualize data collected from clinical trials and/or clinical research.

Pharmacovigilance

  • Safety Data Management Safety data management involves the collection, analysis, and reporting of data related to the safety of a drug. Including preparing and submitting safety reports to regulatory authorities, which may include periodic...

Product Development

  • Applicators/Devices Componentry design services for applicators and devices

Protein Sciences

  • NMR Determine molecular and protein structure, and validate sample integrity.
  • Protein Identification Uncover or confirm the identity of a protein.
  • Proteomics Do large-scale experimental analysis of proteins focused on understanding structure and function.

Real World Evidence & Data

  • Clinical Phenotype Data Obtain phenotypic data and observations on patients such as the clinical manifestation of the disease, clinical and behavioral parameters, symptoms, and laboratory test results.
  • Data Asset Validation Tools for validating that patient data and source has been accurately recorded.
  • Data Merging Tools for combining various data sets into a single data set. Includes data consolidation.
  • HealthVerity - Health Data Platform HealthVerity platform serves as the foundation for the rapid creation, exchange and management of healthcare and consumer data. Through best-in-class identity resolution and matching capabilities, increased...
  • Multi-Source Data Pools Multiple data sources aggregated into singular platforms for analysis. May or may not include real-time analytics capabilities.
  • RWD - Genomics Genomic data collected from a patients with different diseases, can be derived from a range of sources.
Show all 9 in Real World Evidence & Data 3 more
  • RWD - Wearables Data gathered from sources including pedometers, mobile devices, smart watches, among others.
  • RWE/HEOR Data Analysis Analysis that helps you make sense of your RWE/HEOR data
  • Secondary Real World Evidence Analyze clinical trial data.

Regulatory Consulting

  • Environmental Fate and Ecotoxicology Data Review Identify relevant endpoints for fate and behavior (metabolism and excretion, degradation and soil adsorption) and toxicity (soil organisms, aquatic organisms, and dung fauna) of animal health products.
  • Toxicology Data Review Identify relevant toxicological endpoints for “No Observed (Adverse) Effect Level” (NO(A)EL) or “Lowest Observed (Adverse) Effect Level” (LO(A)EL).

Safety Pharmacology

  • Telemetry Use implantable or external devices to study physiological parameters in model organisms

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.
  • 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.
Show all 30 in Scientific Data Services 24 more
  • Data Lineage & Quality Track the various processes through which data has been created, edited or exchanged.
  • 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.
  • Discovery Computational Systems Biology Model the interaction of biological system with drug candidates.
  • Epigenomics Data Analysis Quantify and analyze DNA methylation and/or DNA binding protein data sets.
  • 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.
  • LIM/eLab Notebook Services LIM/eLab Notebook Services
  • Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
  • Metabolomics Data Analysis Use metabolites to identify any potential biomarkers or novel therapeutic targets that may play a role in the mechanisms responsible for the progression of a disease.
  • 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.
  • Microbiome Data Analysis Determine the population composition of a microbial community and analyze its contribution to human or animal health.
  • Molecular Dynamics Software Run simulations that determine time-dependent behaviors of molecular systems.
  • 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.
  • Omics Informatics Consulting Services for the analysis of large-scale molecular data sets.
  • Ontology Mapping Assign given ontologies to source data. 
  • 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.
  • Software Tools Software tool for statistical analysis, data mining, genome annotation or NGS data analysis.
  • System Development Plan, create and deploy an information system.
  • Systems Network Analysis Analyze and visualize molecular pathways including gene regulatory, protein-protein and drug-target networks.

Target Animal and Human Food Safety

  • Toxicokinetic Analysis Determine the drug concentration at which off-target or toxic effects occur.
Website
uvjtech.com

Source: Scientist.com supplier network

Where it operates

Sites by country, with the cities in each.

  • India Kochi, Trivandrum 2 sites
  • United States Round Rock 1 site

Source: Scientist.com supplier network (site locations)

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Sources: Scientist.com supplier network.

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