Clinical Trial
Data Analysis
Thorough examination of data collected during clinical trials to assess efficacy, safety, and other critical parameters, facilitating informed decision-making in drug development and medical research.
Medical and Health
Data Analysis
Examination of medical and health-related data sets to identify patterns, trends, and correlations, aiding healthcare professionals in making evidence-based decisions and improving patient outcomes.
Patient
Data Analysis
Analyzing patient-specific data to gain insights into individual health conditions, treatment effectiveness, and overall healthcare management.
Data Analysis
Assistance
Providing support and expertise in the analysis of various types of data sets, by using various statistical techniques and providing assistance on selecting appropriate graphical approach to summarize results in the pictorial format.
Dissertation
Assistance
Providing guidance and support in data analysis for academic dissertations, assisting students in conducting robust research and presenting findings effectively.
Psychological
Research
Conducting research and analysis in the field of psychology to understand behavior, cognition, and emotional processes, contributing to advancements in mental health and well-being.
Social
Research
Investigating social phenomena and patterns through data analysis, aiming to understand societal trends, attitudes, and behaviors for informed policymaking and social interventions.
Demographic
Research
Analyzing demographic data to study population characteristics, trends, and distributions, informing decision-making in areas such as public policy, marketing, and urban planning.
Food & Nutrition
Research
Conducting research and analysis on food-related topics, including nutrition, food safety, and dietary habits, to promote healthy eating habits and improve public health outcomes.
Patient-reported outcomes
(PRO) assessment
Evaluating patient-reported outcomes to assess the impact of healthcare interventions on patients' quality of life, satisfaction, and symptom management.
Real-world evidence
(RWE) analysis
Analyzing real-world data, such as electronic health records and claims data, to generate evidence on the effectiveness, safety, and value of medical interventions in everyday clinical practice.
Clinical trial simulation for optimizing trial
design and decision-making
Using simulation techniques to model and optimize clinical trial designs, enhancing efficiency, reducing costs, and improving the likelihood of successful outcomes.
Pharmacokinetic and pharmacodynamic
analysis
Analyzing the interactions between drugs and the body, including absorption, distribution, metabolism, and excretion, to optimize dosing regimens and maximize therapeutic outcomes.
Web
Development
Create web apps from scratch or optimize the perfomance and adding functionalities
AI
Development
Create LLMs, or other generative AI models according to the business requirements
Data
Science
Analyzing data, creating and training models and brought out the best information for the business