CellType Inc.

CellType Inc. is listed as a new startup research supplier in the Scientist.com network, with 1 site in 1 country.

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Type of company: New startup

Clinical Trials

DCT Platform A digital environment designed to support and streamline decentralized 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...

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 57 in Data Science/Bioinformatics 51 more

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 Imaging Diagnostic Analysis An analytical approach to analyzing biological images for diagnostic purposes.
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.
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 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.
FAIR data strategy consulting FAIR data strategy consulting involves guiding organizations to adopt data management practices that ensure their data is Findable, Accessible, Interoperable, and Reusable, thereby enhancing data usability and value.
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...
iVAX technology Design epitope driven vaccines through a web-based toolkit.
Mechanism of Action 3D Animation Brings the science of molecular biology to life through interactive educational experiences.
Microarray Data Analysis Visualize and analyze microarray data and facilitate data analysis for large experiments.
Microsatellite Analysis for Normal Tumor Instability (MANTIS) Classify samples by MSI status utilizing NGS data.
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...
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 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.

Discovery Chemistry

Discovery Computational Chemistry Model the interaction of a drug candidate with protein targets such as kinases, GPCRs, receptors, ion channels or enzymes.

General Marketing

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

Medical Communications

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

Real World Evidence & Data

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

Show all 103 services 91 more

Scientific Data Services

Automated Image Analysis Automated Image Analysis
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.
Cancer Systems Biology Convert complex molecular data obtained from high-throughput technologies to deducible information.
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.

Show all 40 in Scientific Data Services 34 more

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.
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.
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.
Metasite A virtual site or a grouping of data from multiple websites.
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.
Molecular Phylogenetics Analyze hereditary molecular differences in genomic sequences to compare genomes.
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. 
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.
Semantic Tech & Triplestores Store and retrieve semantic facts.
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.
Strategic RFX Utilize the Scientist.com marketplace to run a strategic RFI/RFP to consolidate orders across different sites with preferred vendors, find new vendors, and leverage to negotiate better pricing.
System Development Plan, create and deploy an information system.
Systems Biomedicine Analyze complex interactions in biological systems with interdisciplinary scientific teams.
Systems Network Analysis Analyze and visualize molecular pathways including gene regulatory, protein-protein and drug-target networks.
Systems Pharmacology Understand how drugs interact with different molecular and cellular systems within biological models.
T Cell Epitope Mapping Use peptide libraries make it possible to rapidly identify the epitopes of T-Cells, T-Cell clones, T-Helper Cell Clones, T-cell lines, and unpurified T-cells.

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