Driving Innovation in AI & Data Science
Empowering Businesses with Cutting-Edge Artificial Intelligence Solutions
Transforming Healthcare with AI
At yDataLabs, we are at the forefront of healthcare AI consulting and medical data science, dedicated to transforming complex challenges into innovative solutions.
Our Vision
We envision a future where data-driven insights are seamlessly integrated into every facet of business, enabling smarter decisions, fostering innovation, and creating sustainable value.
yDataLabs is built on the principle that advanced AI should be accessible and actionable, providing clear, measurable benefits to our clients.
Our Approach
- End-to-End Delivery:From strategy to deployment and continuous optimization
- Innovation & Research:Integrating latest AI, ML, and NLP advancements
- Client-Centric Solutions:Tailored approaches for unique challenges
- Impact-Driven Results:Measurable outcomes in efficiency and growth
Dr. Veysel Kocaman
Dr. Veysel Kocaman is a seasoned Data Scientist and ML Engineer with over a decade of experience leading advanced AI and machine learning initiatives across healthcare, life sciences, and enterprise domains. He is the Director of yDataLabs, a Dutch consultancy focused on transforming data into business value through cutting-edge AI solutions.
In addition to his role at yDataLabs, Veysel serves as the VP of Engineering and fractional CTO at several US-based AI startups, contributing strategic leadership to AI driven healthcare innovation and medical NLP platforms. He earned his Ph.D. in Computer Vision from Leiden University with a dissertation on "Learning from Small Samples" and has taught graduate-level AI courses during his academic tenure.
Veysel has led multimillion-dollar AI programs for global pharmaceutical and healthcare companies, integrating intelligent systems into mission-critical workflows. With more than 30 peer-reviewed publications in medical AI, Dr. Kocaman is recognized internationally for his contributions to the field.
Comprehensive Healthcare AI Solutions
We offer a full suite of services designed to guide organizations through every stage of their AI and data science journey.
Healthcare & Life Sciences AI Strategy & Consulting
- AI/ML Feasibility Studies for Clinical & Research Applications
- Data Governance & Ethics in Healthcare
- Cloud Data Architecture for Health Data
- Digital Transformation Roadmapping for Pharma & Biotech
- Multilingual AI Translation & Global Communication Workflows
Advanced AI & Generative AI Solutions for Healthcare
- Clinical Natural Language Processing (NLP) & Large Language Models (LLMs)
- Medical Computer Vision (CV)
- Predictive Analytics for Patient Outcomes & Disease Progression
- Generative AI for Drug Discovery & Research
- AI-Powered Clinical Decision Support Systems
MLOps & AI Operationalization in Regulated Environments
- Clinical MLOps Platform Design & Implementation
- Model Deployment & Integration with EHR/LIMS
- Performance Monitoring & Explainability for Medical AI
- Data Pipeline Engineering for Health Data
Training & Enablement for Healthcare Professionals
- Customized Workshops & Training
- Mentorship & Coaching
- Knowledge Transfer & Best Practices
GenAI-Focused Case Studies
Key projects demonstrating our expertise in Healthcare & Life Sciences, with emphasis on Generative AI applications.
| Project | Customer | Duration | Impact |
|---|---|---|---|
| Multilingual Patient Interaction | Pharmaceutical Company | 2023 – Present | Improved inclusivity in patient engagement, reducing communication barriers for non-English speakers. |
| Pharmacovigilance Translation Automation | Pharmaceutical Company | 2022 – Present | Reduced translation turnaround time by 40% while ensuring regulatory compliance in global safety reporting. |
| Domain-Adapted Life Sciences Translation | Healthcare Provider | 2021 – Present | Reduced manual effort by 35% and accelerated global clinical research workflows. |
| Clinical-Grade MLOps Platform Development | Healthcare AI Platform | Aug 2021 - Present | 30% reduction in model deployment time and 100% regulatory compliance for over 50 medical AI models. |
| Advanced NLP for Metastasis Detection | Pharmaceutical Company | 2022 - 2023 | 84% F1 score across seven classes, 12% improvement over previous state-of-the-art methods, and 25% reduction in diagnostic time. |
| Healthcare-Specific LLMs for Oncology Patient Timelines | Pharmaceutical Company | 2022 - Present | 15% increase in guideline adherence and 40% reduction in manual chart review time. |
| Generative AI for Data Extraction Clinical Support | Healthcare Provider | 2023 - Present | 50% faster data extraction process and 20% improvement in data accuracy. |
| Medical Generative AI & Agents for Evidence-Based Care | Healthcare Organization | 2023 - Present | 10% improvement in diagnostic accuracy and 15% reduction in physician burnout due to reduced information overload. |
| AI-Enhanced Oncology Data: EHR Insights with NLP and LLMs | Healthcare Research Institute | 2022 - 2023 | 20% more eligible patients identified for clinical trials and 30% faster analysis of patient cohorts. |
| Opioid-Related Adverse Events Detection from EHRs | Healthcare Provider | 2021 - 2022 | 25% increase in the detection rate of adverse events and 10% reduction in false positives. |
More Case Studies
Our extensive portfolio includes numerous additional projects across various healthcare and life sciences applications.
AI-Enhanced HCC Code Discovery
Healthcare Provider | 2022-2023
Leveraging AI to enhance Hierarchical Condition Category (HCC) code discovery for accurate risk adjustment and reimbursement.
15% increase in HCC capture rate and 10% reduction in audit risks.
Healthcare ChatBots with Medical LLM-as-a-Judge
Healthcare Technology Company | 2023-Present
Productizing healthcare chatbots by integrating Medical LLM-as-a-Judge for more accurate and context-aware responses.
25% improvement in chatbot accuracy.
RAG on FHIR: Making Healthcare Less Opaque
Healthcare Interoperability Platform | 2023-Present
Integrating Retrieval-Augmented Generation (RAG) with FHIR standards using Generative AI.
30% improvement in data accessibility for clinicians.
De-Identifying 700 Million Patient Notes
Large Healthcare System | 2020-2021
Large-scale de-identification of patient notes using Spark NLP.
99.8% accuracy in PHI removal while maintaining data utility for research.
Regulatory Grade Oncology Data Curation
Oncology Data Provider | 2022-Present
Leveraging healthcare NLP models for regulatory grade oncology data curation.
20% reduction in data curation time and 10% improvement in data quality.
Building Patient Cohorts with NLP and Knowledge Graphs
Healthcare Research Institute | 2022-Present
Building sophisticated patient cohorts using NLP and Knowledge Graphs.
40% faster cohort identification and 25% increase in precision of patient selection.
Papers, Events & Publications
Dr. Veysel Kocaman and yDataLabs are actively engaged in the global AI and healthcare community.
Peer-reviewed Publications
With more than 30 peer-reviewed publications in medical AI, Dr. Kocaman is recognized internationally for his contributions to the field. His research spans clinical NLP, computer vision, machine learning, and healthcare AI applications.
Public Speaking Engagements
As a frequent keynote speaker, Dr. Kocaman has delivered over 100 talks at conferences, meetups, and workshops around the world, sharing insights on AI in healthcare, machine learning best practices, and the future of medical technology.
Technical Blogposts
Regular contributions to the AI and healthcare community through thought leadership articles, technical blog posts, and insights on emerging trends in medical AI, data science, and healthcare technology innovation.
Ready to Transform Your Healthcare Data?
Let's discuss how yDataLabs can help drive innovation in your organization with cutting-edge AI solutions.