About ydatalabs.nl
At ydatalabs.nl, we are at the forefront of healthcare AI consulting and medical data science, dedicated to transforming complex challenges into innovative solutions. Founded by Veysel Kocaman, PhD, a seasoned healthcare AI expert and ML Engineer with over 20 years of software development and architecture experience, ydatalabs.nl embodies a commitment to technical excellence, impactful innovation, and client-centric solutions. With a specialized focus on the Healthcare and Life Sciences industry for the last decade, our mission is to empower organizations to harness the full potential of their data, driving strategic growth and operational efficiency through cutting-edge artificial intelligence and machine learning applications in healthcare.
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.nl is built on the principle that advanced AI should be accessible and actionable, providing clear, measurable benefits to our clients.
Our Approach
Inspired by the agility and end-to-end delivery focus of leading AI agencies, ydatalabs.nl adopts a holistic approach to data and AI consulting. We combine deep technical expertise with a pragmatic understanding of business needs, ensuring that our solutions are not only scientifically sound but also strategically aligned with our clients' objectives. For more than a decade, we have partnered with leading healthcare and pharmaceutical companies across the USA and EU, helping them bring innovative AI-driven solutions to market and deliver measurable value to their customers. This experience positions us as a trusted partner for organizations operating in highly regulated and mission-critical environments. Our methodology emphasizes:
- End-to-End Delivery: From initial strategy and data assessment to model deployment and continuous optimization, we provide comprehensive support throughout the AI lifecycle.
- Innovation & Research: We continuously integrate the latest advancements in AI, machine learning, and natural language processing, drawing from extensive academic research and real-world application experience.
- Client-Centric Solutions: Every project is tailored to the unique challenges and goals of our clients, ensuring bespoke solutions that deliver tangible results and foster long-term partnerships.
- Impact-Driven Results: Our focus is on generating measurable impact, whether through cost reduction, revenue generation, enhanced efficiency, or improved decision-making.
Our Founder: Veysel Kocaman, PhD
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. He is a Google-recognized ML Developer Expert and a frequent keynote speaker, having delivered over 100 talks at conferences, meetups, and workshops around the world.
Our Services
ydatalabs.nl offers a comprehensive suite of healthcare AI consulting and medical data science services, designed to guide organizations through every stage of their data journey—from strategic planning to advanced AI implementation and operationalization. Our expertise, rooted in deep technical knowledge and extensive healthcare AI industry experience, enables us to deliver tailored solutions that drive innovation, enhance efficiency, and unlock significant business value. We group our offerings into the following core categories, with a strong emphasis on the Healthcare and Life Sciences sectors:
1. Healthcare & Life Sciences AI Strategy & Consulting
We partner with clients in the healthcare and life sciences domains to develop robust data and AI strategies that align with their overarching business objectives. This includes:
- 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
2. Advanced AI & Generative AI Solutions for Healthcare
ydatalabs.nl specializes in developing and deploying state-of-the-art AI and Generative AI models that address complex business problems unique to healthcare and life sciences. Our capabilities include:
- 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
3. MLOps & AI Operationalization in Regulated Environments
We ensure that AI models are not just developed but also seamlessly integrated into existing clinical and research workflows and continuously deliver value in highly regulated environments. Our MLOps services include:
- Clinical MLOps Platform Design & Implementation
- Model Deployment & Integration with EHR/LIMS
- Performance Monitoring & Explainability for Medical AI
- Data Pipeline Engineering for Health Data
4. Training & Enablement for Healthcare Professionals
ydatalabs.nl is committed to empowering your team with the knowledge and skills necessary to embrace AI in healthcare. We offer:
- Customized Workshops & Training
- Mentorship & Coaching
- Knowledge Transfer & Best Practices
Our holistic approach ensures that ydatalabs.nl is not just a service provider, but a strategic partner in your journey towards becoming a data-driven organization, especially within the critical Healthcare and Life Sciences sectors.
Healthcare & Life Sciences Projects with GenAI Focus
Here are key projects and case studies, reframed to highlight ydatalabs.nl's expertise and contributions in the Healthcare & Life Sciences domain, with a particular emphasis on Generative AI applications. Each project demonstrates our ability to deliver impactful AI solutions, supported by Dr. Veysel Kocaman's extensive experience and leadership.
| Project Name | Customer | Duration | Description | Impact |
|---|---|---|---|---|
| Multilingual Patient Interaction | vCare (Healthcare Robotics) | 2023 – Present | Integrated speech-to-text, language detection, and real-time translation into a patient-facing robotic assistant to enable seamless multilingual greetings and interactions. | Improved inclusivity in patient engagement, reducing communication barriers for non-English speakers. |
| Pharmacovigilance Translation Automation | Insife (Pharma Technology) | 2022 – Present | Embedded AI-powered translation workflows into pharmacovigilance systems with terminology database integration to ensure consistent and regulatory-compliant outputs. | Reduced translation turnaround time by 40% while ensuring regulatory compliance in global safety reporting. |
| Domain-Adapted Life Sciences Translation | IQVIA (Healthcare Data & Research) | 2021 – Present | Delivered domain-specific AI translation models for clinical trial protocols, regulatory documents, and research content, combined with human-in-the-loop post-editing. | Reduced manual effort by 35% and accelerated global clinical research workflows. |
| Clinical-Grade MLOps Platform Development | Gesund.ai | Aug 2021 - Present | Building a clinical-grade MLOps platform for training and validation of medical AI models within secure, air-gapped environments, ensuring data privacy and regulatory compliance. | 30% reduction in model deployment time and 100% regulatory compliance for over 50 medical AI models. |
| Advanced NLP for Metastasis Detection | Roche | 2022 - 2023 | Developed and deployed a sophisticated NLP predictive model to analyze longitudinal patient records and extract critical information from medical reports using BERT-based NER and Assertion Status models. | 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 | Novartis | 2022 - Present | Leveraged healthcare-specific Large Language Models (LLMs) to construct detailed oncology patient timelines and provide recommendations based on clinical guidelines. | 15% increase in guideline adherence and 40% reduction in manual chart review time. |
| Generative AI for Data Extraction Clinical Support | Kaiser Permanente | 2023 - Present | Implemented Generative AI solutions to enhance data extraction for clinical support, streamlining clinical workflows and improving data accuracy for healthcare applications. | 50% faster data extraction process and 20% improvement in data accuracy. |
| Medical Generative AI & Agents for Evidence-Based Care | Cleveland Clinic | 2023 - Present | Deployed medical Generative AI and intelligent agents to empower clinicians with evidence-based care, providing real-time insights and reducing cognitive load. | 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 | Dana-Farber Cancer Institute | 2022 - 2023 | Utilized Natural Language Processing (NLP) and Large Language Models (LLMs) to unlock critical insights from Electronic Health Records (EHRs) for oncology research. | 20% more eligible patients identified for clinical trials and 30% faster analysis of patient cohorts. |
| Opioid-Related Adverse Events Detection from EHRs | Providence | 2021 - 2022 | Developed solutions for identifying opioid-related adverse events by analyzing unstructured text within Electronic Health Records using advanced NLP techniques. | 25% increase in the detection rate of adverse events and 10% reduction in false positives. |
| Clinical Document Insights with NLP | Intermountain Health | 2021 - 2022 | Harnessed clinical document insights using advanced NLP techniques to extract valuable information from complex medical documentation and improve healthcare operations. | 18% improvement in operational efficiency and 22% reduction in administrative burden. |
| De-identifying Free-Text Patient Notes | GSK | 2020 - 2021 | Developed robust solutions for de-identifying free-text patient notes without compromising data utility, enabling secure and compliant use of sensitive patient data. | 99.9% de-identification accuracy while preserving 95% of data utility for research purposes. |
| Robotics and Generative AI Medical Language Models at Point of Care | Mount Sinai | 2023 - Present | Integrated robotics and Generative AI medical language models at the point of care, bringing advanced AI directly into clinical settings for immediate impact. | 10% increase in physician-patient interaction time and 5% reduction in medical errors. |
Other Projects & Case Studies
Our extensive portfolio includes numerous additional projects across various healthcare and life sciences applications, demonstrating our versatility and deep expertise in AI and data science solutions.
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 Organization | 2022-Present
Developed a system to match patients with relevant information from a vast clinical guidelines library. 20% reduction in time spent searching for clinical information.
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.
Healthcare Interoperability Platform | 2023-Present
Integrating Retrieval-Augmented Generation (RAG) with FHIR standards using Generative AI. 30% improvement in data accessibility for clinicians.
Pharmaceutical Company | 2021-2022
Extracting detailed information (what, when, why, and how) from radiology reports for Real World Data acquisition projects. 25% increase in data completeness.
Large Healthcare System | 2020-2021
Large-scale de-identification of patient notes using Spark NLP, achieving 99.8% accuracy in PHI removal while maintaining data utility for research.
Healthcare Research Institute | 2023-Present
Leveraging healthcare-specific Large Language Models for efficient data discovery from patient notes and stories. 40% reduction in data discovery time.
Research Institution | 2021-2022
Using NLP on EHR data to identify mental health concerns, subtypes, and temporal patterns among children with Cerebral Palsy. 10% improvement in early intervention strategies.
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.
Cancer Research Organization | 2023-Present
Utilizing LLMs to facilitate building and enrichment of cancer data registries. 30% acceleration in data registry population and 15% increase in data completeness.
Life Insurance Company | 2020-2021
Automating extraction of medical risk factors from health documents for life insurance underwriting. 20% reduction in processing time and 10% improvement in risk assessment accuracy.
Clinical Research Organization | 2021-2022
Automating classification and entity extraction from essential clinical trial documents. 30% reduction in document processing time and 15% increase in data accuracy.
Pharmaceutical Company | 2021-2022
Extracting therapy-specific outcomes and insights in Rheumatology using advanced NLP techniques. 20% improvement in understanding treatment efficacy.
Pharmaceutical Company | 2020-2021
Building an integrated data approach for pharmaceutical medical affairs. 25% improvement in data-driven decision making and 15% faster response to medical inquiries.
Pharmaceutical Company | 2021-2022
Implementing AI solutions for pharmacovigilance processing and adverse drug event detection. 30% reduction in manual review time and 10% increase in rare adverse event detection.
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.
Healthcare Payer | 2020-2021
Detecting undiagnosed conditions and automating Medicare Risk Adjustment. 15% increase in accurate risk adjustment scores and 10% improvement in revenue capture.
Pharmaceutical Company | 2020-2021
Implementing advanced systems for adverse drug event detection using Spark NLP, improving drug safety surveillance and regulatory compliance.
Activities, Papers, and Events
Dr. Veysel Kocaman and ydatalabs.nl are actively engaged in the global AI and healthcare community through various academic and professional activities.
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.
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.
Contact Information
Ready to transform your healthcare data into actionable insights? Let's discuss how ydatalabs.nl can help drive innovation in your organization.
We look forward to partnering with you on your AI and data science journey.