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Umbizo

Umbizo 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 Trials

  • Clinical Biostatistical Services Analyze and interpret data throughout all phases of clinical trial development.
  • EHR to EDC Transfer data from an Electronic Health Record (EHR) system to an Electronic Data Capture (EDC) system, which is commonly used in clinical trials
  • Patient Insights Data, information, and feedback collected from patients to understand their experiences, perspectives, and needs related to a particular health condition or treatment
  • Trial Insights: Clinical Trials Intelligence Dashboard Trial Insights is the industry’s first digital research reporting dashboard made specifically to track ongoing clinical trials, observational, diagnostic and medical device studies. The solution aggregates and curates...

Data Science/Bioinformatics

  • Biostatistical Design Use statistics to ensure appropriate pre-clinical and clinical study design.
  • 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
  • Clinical Data Warehousing and Interoperability Data warehousing is the process of collecting, storing, and managing large volumes of structured data from different sources to support analysis and decision-making, while interoperability refers to the ability...
  • Clinical In Silico Genomics/Transcriptomics Data Analysis A process that helps make sense of your omics data
Show all 34 in Data Science/Bioinformatics 28 more
  • Clinical Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects
  • Clinical Software Tools Software designed to serve the needs of clinical research groups.
  • Discovery Bioinformatics Different analytical approaches that make, store, and analyze complex biological data.
  • 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 Databases Databases specifically designed for drug discovery use.
  • Discovery In Silico Genomics/Transcriptomics Data Analysis A process that helps make sense of your Genomics/Transcriptomics data
  • 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.
  • NLP Processing for Unstructured Clinical Notes NLP processing for unstructured clinical notes involves using natural language processing techniques to extract, analyze, and interpret valuable information from free-text medical records, enabling improved clinical...
  • 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 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 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.

Drug Development

  • Bioinformatics Consulting Consulting Services for the science of collecting and analyzing complex biological data

Management Optimization & Development Strategies

  • Big Data Computational assistance with analysis of large data sets to reveal patterns, trends and associations
Show all 85 services 73 more

Medical Communications

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

Old Category HEOR, RWE, Market Access

  • Data - Other Extract insights and patterns from large and complex datasets.

Primary Market Research

  • Advanced Analytics (Regression, Clustering, Factor Analysis) Applies complex statistical techniques to uncover hidden relationships and drivers. Generates predictive insights to inform decision-making and optimization.
  • Data Cleaning and Statistical Modeling Prepares raw datasets for analysis through validation, normalization, and advanced modeling. Ensures accuracy and enables robust, reproducible insight generation.

Protein Sciences

  • Proteomics Data Analysis Identify and quantify the proteome of a biological system at a specific point in time.

Real World Evidence & Data

  • Claims Data & Database Analysis Analysis of care cost and quality.
  • Claims Data - Billing Includes patient demographics, insurance status, geographical location, among others.
  • Claims Data - Medical Includes hospitalization,physician visits,emergency department visits. May or may not include laboratory information including resource utilization, costs or charges, as well as ICD-9 or 10 codes.
  • Claims Data - Pharmacy Includes medications, prescription orders, payment submissions, patient adherence, among others.
  • 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.
Show all 19 in Real World Evidence & Data 13 more
  • Data Merging Tools for combining various data sets into a single data set. Includes data consolidation.
  • Multi-Source Data Pools Multiple data sources aggregated into singular platforms for analysis. May or may not include real-time analytics capabilities.
  • Non-Comparative Study Assess an intervention using a single arm study design (without a control or comparator group).
  • Patient Reported Outcomes (PRO) Databases Database or collection of data related to health outcomes directly reported by the patient who experienced it, without interpretation of the patient's response by a clinician or anyone else.
  • Real World Evidence (RWE) Studies Studies (prospective or retrospective) utilizing data obtained from "real world settings" , and is outside the tight controls of a clinical trial design.
  • Real-World Data Acquire real-world data from patients' electronic medical records including clinical information generated during the course of healthcare.
  • Real-World Evidence Acquire clinical data from patients' medical records to analyze trends and the frequency of occurrence of different medical conditions.
  • RWD - COVID-19 Data from COVID-19 patients, can include diagnosis, treatment, among others.
  • RWD - Genomics Genomic data collected from a patients with different diseases, can be derived from a range of sources.
  • RWD - Oncology Data from oncology patients, can include clinical treatment, diagnosis, among others.
  • 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.

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 Quality Framework Manage data quality issues to maintain good quality data outputs.
Show all 21 in Scientific Data Services 15 more
  • Database Integration Convert bioinformatics results from multiple data sources (DSs) into a single operational format.
  • 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.
  • 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.
  • Multivariate Analysis (MVA) Analyze datasets with three or more variables simultaneously to discover hidden patterns, correlations, and underlying structure
  • NGS: Next Generation Sequencing Data Analysis Use software to interpret data created by RNA-Seq, DNA-Seq, ChIP-Seq and DNA methylation experiments.
  • Scientific Data Visualization Exploration and reporting of data by means of graphs and plots.
  • 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.

Source: Scientist.com supplier network

Where it operates

Sites by country, with the cities in each.

  • United Kingdom Manchester 1 site

Source: Scientist.com supplier network (site locations)

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Sources: Scientist.com supplier network.

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