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Kanda Software

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

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Sites 1

Countries 1

Type of company: Mid sized business

Biomarkers

Digital Pathology Acquire, manage and interpret pathology information generated from a digital image of a slide preparation of cells or tissue.

Clinical Consulting

Data & Risk Management Determine the extent of the risk and the reliability of the data used to access the aforementioned risk.

Clinical Trials

Clinical Trial Design Develop study-related protocols, case report forms (CRFs) and database tools for records management.
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
Site Monitoring Maintain oversight over participant's health during a clinical trial.
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...
Virtual Clinical Trial Monitoring Platform This digital research platform allows researchers to monitor their clinical trials remotely.

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 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

Show all 40 in Data Science/Bioinformatics 34 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.
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 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 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 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 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 95 services 82 more

Drug Development

Bioinformatics Consulting Consulting Services for the science of collecting and analyzing complex biological data
Laboratory Operations Consulting Request consulting services through the Genius Consulting Network™, Scientist.com provides your organization with immediate access to expert consultants with the experience and leadership skills to drive complex...

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

Medical Communications

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

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.
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.

Show all 20 in Real World Evidence & Data 14 more

Multi-Source Data Pools Multiple data sources aggregated into singular platforms for analysis. May or may not include real-time analytics capabilities.
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 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.
Registries - Patient Database containing, through utilizing observational research methods, standardized data about patients who have the same condition, disease, or exposure and is used to evaluate an outcome
RWD - COVID-19 Data from COVID-19 patients, can include diagnosis, treatment, among others.
RWD - Diagnostics/Laboratory Includes information on laboratory procedures/results.
RWD - Electronic Medical Record (EMR) Digital version of a patient's medical or health chart containing demographic, clinical, medical, and other treatment information.
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 - Rare Diseases Data from patients with rare diseases, 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.
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.
Data Curation Organize and integrate data collected from various sources to ease data discovery and retrieval.

Show all 23 in Scientific Data Services 17 more

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.
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.
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.)
Marker Analyses Identify associations between genetic markers and traits of interest to determine markers responsible for human diseases.
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.
Scientific Data Visualization Exploration and reporting of data by means of graphs and plots.
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 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.

Website: www.kandasoft.com

United States Newton 1 site

Minority-owned

US small-business federal-contractor designation, self-certified in the U.S. federal System for Award Management (SAM.gov). Coverage is limited to matched U.S. small-business suppliers, so an absent designation is not evidence of its absence.

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