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CapeStart Inc
CapeStart Inc is listed as a small business 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: Small business
Bioimaging
- Magnetic Resonance Imaging Use MRI to obtain chemical and physical information about molecules and map the internal structure of an object.
- Medical Imaging Visualize and analyze internal structures in animal models or patients.
- SPECT-CT and PET-CT Imaging Get images that combine the spatial context of metabolic or biochemical activity with an anatomic image.
Biomarkers
- Digital Pathology Acquire, manage and interpret pathology information generated from a digital image of a slide preparation of cells or tissue.
Chemical and Compound Testing
- Clinical Pathology Diagnose disease based on the laboratory analysis of bodily fluids, such as blood, urine and tissues.
Chemistry, Manufacturing and Controls (CMC)
- Regulatory Starting Materials Sourcing regulatory starting materials (RSM)
Clinical Consulting
- Biostatistics Consulting Apply statistical theory and mathematical principals to research
- Regulatory Compliance & Documentation Regulatory compliance describes the goal that organizations aspire to achieve in their efforts to ensure that they are aware of and take steps to comply with relevant laws, policies, and regulations.
- Regulatory Consulting Ensure that each product or device complies with all FDA rules and regulations.
Clinical Trials
- Case Report Monitoring & Auditing Ensure the adequate collection and traceability of clinical data in preparation for review by the FDA.
- 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
- Protocol Optimization via AI/ML Using of artificial intelligence and machine learning techniques to enhance and streamline experimental protocols or operational procedures for improved efficiency, accuracy, and outcomes.
- Regulatory Affairs Consulting Receive assistance ensuring compliance with regulatory requirements.
- Regulatory Operations Ensure that all specific regulatory documents are published and properly organized before submission.
Show all 7 in 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...
Show all 114 services
Companion Diagnostics
- Cervical Cancer CDx Design and validate companion diagnostics for cervical cancer that help select the most appropriate patients, identify patients at increased risk, or monitor treatment effectiveness.
- Pancreatic Cancer CDx Design and validate companion diagnostics for pancreatic cancer that help select the most appropriate patients, identify patients at increased risk, or monitor treatment effectiveness.
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 Imaging Diagnostic Analysis An analytical approach to analyzing biological images for diagnostic purposes.
Show all 30 in Data Science/Bioinformatics
- 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 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 Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
- 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...
- 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 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 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 Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
- Translational Software tools Software designed to serve the needs of translational research groups.
General Marketing
- Database Management Software Facilitate the collection, tracking and processing of biological facts, statistics and observations.
HEOR
- Clinical Outcomes Measures patient's symptoms, mental, or physical effects of a disease or condition on how the patient functions, recorded by practitioner, provider, or instrument (not by patient).
- Health Economics and Outcomes Research (HEOR) Evaluate data collected during drug development to maximize the value of a therapeutic product.
- Patient Reported Outcomes (PRO) Assessment of health outcomes directly reported by the patient who experienced it, without interpretation of the patient's response by a clinician.
- Systematic Literature Review Summarizes the results of research (that meet pre-defined eligibility criteria for inclusion) and provides a high level of evidence on the outcomes assessed.
In Vitro ADME
- Drug Drug Interactions Determine whether a substance affects the activity of a drug when both are administered together.
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.
- Marketing and Commercialization Identify, promote and prove the value of a particular drug to key stakeholders.
Medical Communications
- Case Reviews Review medical cases from Clinical Trials.
- Competitive Intelligence Develop a coordinated competitive intelligence program which contains a systematic collection and analysis of information from multiple sources about a specific business's industry.
- Medical Affairs Dossiers Develop medical affairs dossiers such as Global Value Dossiers or AMCP Dossiers.
- Medical Information Encompasses both regulatory and non-regulatory medical writing. This function delivers balanced, evidence-based responses for reactive medical inquiries and develops strategic, proactive medical information platforms...
- Medical Literature Reviews Systematic searching, appraisal, and synthesis of published scientific literature to generate evidence-based reports on a specific topic, disease, or treatment.
- Medical Writing and Editing/Manuscript Development Communicate scientific, technical and health-related information to a range of audiences.
Show all 9 in Medical Communications
- Protocol and Study Reports Write protocol and study reports, specifically relating to the drafting, writing, and editing of Clinical Safety Reports.
- Regulatory Submissions and Compliance Draft, format, and submit documents to Pharmaceutical approval agencies according to documentation and guidelines. This includes documents such as NDAs, INDs, SUSARs, AE reporting, RMPs, and PSURS.
- Therapy Area Disease Insights Report Creation of a comprehensive analysis of the current scientific, clinical, and competitive landscape within a specific therapeutic area.
Old Category HEOR, RWE, Market Access
- Patient-Reported Outcome Studies Get self-reported information regarding the personal health status of an individual.
Oncology Models
- 3D Triculture Breast Cancer Model Use tricultures of breast cancer cell lines, hMSCs, and endothelial tubules for evaluating breast cancer progression.
- T11 (Breast Cancer) Measure therapeutic endpoints in animal models of breast cancer.
Pharmacovigilance
- Risk-Based Monitoring Planning and Implementation Risk-based monitoring planning and implementation involve creating and executing a strategy that prioritizes monitoring resources based on the potential risks to patient safety and data quality in clinical trials...
REACH Services
- Dossier Prep. and Consultancy Assistance with creation of a regulatory document that contains all the Clinical, non-clinical, and CMC information of a pharmaceutical product to be approved, registered, or marketed within a specific country.
Real World Evidence & Data
- Data Merging Tools for combining various data sets into a single data set. Includes data consolidation.
- Meta-Analysis Use quantitative statistical approaches to pool results across multiple studies to improve power or resolve uncertainty; may be used in conjunction with a systematic review.
- 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.
Show all 12 in Real World Evidence & Data
- RWD - Electronic Medical Record (EMR) Digital version of a patient's medical or health chart containing demographic, clinical, medical, and other treatment information.
- 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
- RWE/HEOR/Market Access Safety Surveillance Monitor safety of treatment and determine methods to identify adverse events early
- RWE/RWD Observational Research Research method for documenting clinical, economic, and or humanistic outcomes of actual medical practice absent the constraints of a more formal experimental design. See also Pragmatic Clinical Trials.
- Secondary Real World Evidence Analyze clinical trial data.
Regulatory Affairs
- Medical Labeling Design and create medical labels that accurately reflect purpose, precautions and other information.
- Period Benefit Risk Evaluation Report (PBRER) Preparation of safety reports to report adverse events that occurred during a specified time period. Evaluate if safety profile of treatment has changed since last report
- Periodic Safety Update Report (PSUR) Preparation of safety reports to report adverse events that occurred during a specified time period. Evaluate if safety profile of treatment has changed since last report
- Post Authorization Efficacy Study (PAES) Answer uncertainties in efficacy of treatment, and improve understanding of treatment and the benefit-risk profile. These studies are specifically asked for by European Medicines Agency (EMA) to continually grant...
- Post Authorization Safety Study (PASS) Evaluate the safety, benefit-risk profile, and risk management of a treatment. These studies are specifically asked for by European Medicines Agency (EMA) and they can be mandatory or voluntary.
- Post-authorization Safety Studies Research efforts conducted after a drug has been approved for market to monitor its safety profile in the general population. These studies aim to identify, characterize, or quantify potential adverse effects...
Show all 8 in Regulatory Affairs
- Regulatory Submission Documents Request services related to the submission and writing of New Drug Applications (NDA), Investigational New Drugs (INDs), and Investigator Brochures (IB) to the FDA and other regulatory bodies.
- Safety Signals Early indication that a new or unknown adverse event occurred that may be caused by treatment and investigation is needed to determine a causal relationship. Can be investigated through spontaneous reports, studies...
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 22 in Scientific Data Services
- 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.
- 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.
- 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.)
- NGS: Next Generation Sequencing Data Analysis Use software to interpret data created by RNA-Seq, DNA-Seq, ChIP-Seq and DNA methylation experiments.
- 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.
- Website
- www.capestart.com
Where it operates
Sites by country, with the cities in each.
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India 2 sites
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United States 1 site
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