Medical Advisory Board
Meet the distinguished medical professionals who ensure our AI Blood Test Analyzer delivers accurate, clinically relevant interpretations trusted by healthcare providers worldwide
Excellence Through Expert Oversight
Our Medical Advisory Board comprises world-renowned physicians, clinical pathologists, and laboratory medicine specialists who guide the development and validation of our AI algorithms. Each member brings decades of clinical experience and a commitment to advancing diagnostic accuracy through innovative technology.
The board meets quarterly to review algorithm performance, validate new biomarker interpretations, and ensure our system reflects the latest medical research and clinical guidelines. Their expertise spans multiple specialties, providing comprehensive oversight of our entire diagnostic spectrum.
Last Updated: February 3, 2026
Executive Medical Leadership
Thomas Klein, MD
Chief Medical Officer (CMO)
Istanbul Nisantasi University, Department of Hematology
Education & Training
- MD, Clinical Hematology Specialization
- Affiliation: Istanbul Nisantasi University, Department of Hematology
- 15+ years experience in laboratory medicine
- Specialist training in AI-assisted diagnostics and clinical decision support systems
Role at Kantesti
- Chief Medical Officer overseeing all clinical validation processes
- Lead author of clinical validation technical reports
- Primary medical reviewer for all AI algorithm updates
- Liaison between Medical Advisory Board and development team
- Responsible for regulatory compliance and medical accuracy
Bio
Dr. Thomas Klein is a board-certified clinical hematologist serving as Chief Medical Officer at Kantesti AI. With over 15 years of experience in laboratory medicine and a deep expertise in AI-assisted diagnostics, Dr. Klein bridges the gap between cutting-edge technology and clinical practice. His research focuses on biomarker analysis, clinical decision support systems, and population-specific reference range optimization. As CMO, he leads the triple-blind validation studies that ensure Kantesti's AI achieves 98.7% accuracy across 1 million+ validated test cases from 197 countries.
Research & Publications
- Clinical Validation Framework for AI-Powered Blood Test Interpretation (2025)
- AI applications in hematology diagnostics
- Population-specific reference range optimization
- Machine learning in clinical decision support
Medical Advisory Board Members
Our advisory board provides independent clinical oversight and guidance for AI algorithm development and validation.
Dr. Sarah Mitchell, MD, PhD
Chief Medical Advisor - Chair of Advisory Board
Education & Training
- MD, Stanford University School of Medicine, 1998
- PhD in Clinical Pathology, Johns Hopkins University, 2003
- Residency in Anatomic & Clinical Pathology, Massachusetts General Hospital
- Fellowship in Laboratory Medicine, Mayo Clinic
Professional Achievements
- Board Certified in Anatomic and Clinical Pathology (ABPath)
- Fellow, College of American Pathologists (FCAP)
- Excellence in Laboratory Medicine Award, 2022
- Distinguished Service Award, American Society for Clinical Pathology, 2020
- 75+ peer-reviewed publications in laboratory medicine
Bio
Dr. Mitchell brings over two decades of experience in clinical pathology to her role as Chair of the Medical Advisory Board. As Director of Clinical Laboratories at a major Boston teaching hospital, she has pioneered the integration of AI-assisted diagnostics into routine laboratory workflows. Her research focuses on standardizing reference ranges across diverse populations and improving diagnostic accuracy through machine learning.
Professional Affiliations
- American Society for Clinical Pathology (ASCP)
- College of American Pathologists (CAP)
- Association for Molecular Pathology (AMP)
- Clinical Laboratory Standards Institute (CLSI)
Prof. Dr. Hans Weber
Senior Medical Advisor - Laboratory Medicine
Education & Training
- MD, University of Munich Medical School, 1990
- Habilitation in Clinical Chemistry, Ludwig Maximilian University, 2000
- Residency in Laboratory Medicine, University Hospital Munich
- Research Fellowship, Harvard Medical School
Professional Achievements
- Professor of Laboratory Medicine, University of Munich
- President, German Society for Clinical Chemistry (2018-2022)
- Member, European Federation of Clinical Chemistry Board
- Excellence in Clinical Chemistry Award, IFCC 2021
- 100+ publications on laboratory automation and quality control
Bio
Professor Weber is one of Europe's leading authorities on laboratory automation and clinical chemistry. His pioneering work on standardizing laboratory methodologies across different platforms directly informs how our AI handles the variability between laboratory equipment and reference ranges. He ensures our system accurately interprets results regardless of the originating laboratory's instrumentation.
Research Focus
- Laboratory automation and workflow optimization
- Standardization of clinical chemistry methods
- Quality control in high-throughput laboratories
- AI applications in laboratory medicine
Dr. Maria Rodriguez, MD, MPH
Medical Advisor - Internal Medicine
Education & Training
- MD, Autonomous University of Barcelona Medical School, 2000
- MPH, Johns Hopkins Bloomberg School of Public Health, 2005
- Residency in Internal Medicine, Hospital Vall d'Hebron Barcelona
- Fellowship in Clinical Research, European Clinical Research Institute
Professional Achievements
- Board Certified in Internal Medicine (ABIM)
- Fellow, American College of Physicians (FACP)
- Excellence in Diagnostic Medicine Award, 2023
- Lead Investigator, EU Horizon 2020 Digital Health Project
- 45+ publications on preventive medicine and diagnostics
Bio
Dr. Rodriguez combines clinical excellence with a passion for preventive medicine and health technology. As Chief of Internal Medicine at Hospital del Mar Barcelona, she has implemented innovative diagnostic protocols that have improved patient outcomes significantly. Her research focuses on early disease detection through biomarker analysis, making her expertise invaluable in validating our AI's preventive health insights.
Dr. Chen Wei, MD, MSc
Medical Advisor - Endocrinology
Education & Training
- MD, Beijing Medical University, 2001
- MSc in Endocrinology, Imperial College London, 2006
- Residency in Internal Medicine, Beijing Union Medical College Hospital
- Fellowship in Endocrinology, Mount Sinai Hospital New York
Professional Achievements
- Board Certified in Endocrinology and Metabolism
- Member, Endocrine Society
- Young Investigator Award, Asian Association for the Study of Diabetes
- 60+ publications on metabolic disorders and diabetes
- Principal Investigator, National Diabetes Prevention Program
Bio
Dr. Chen is a leading expert in metabolic medicine with special focus on diabetes and thyroid disorders. As Director of the Endocrinology Department at Shanghai Ruijin Hospital, she has pioneered personalized treatment approaches based on comprehensive biomarker profiles. Her expertise ensures our AI accurately interprets complex hormonal patterns and metabolic markers, providing clinically actionable insights for endocrine conditions.
Research Interests
- Early biomarkers for diabetes complications
- AI applications in endocrine diagnostics
- Personalized medicine in metabolic disorders
- Integration of continuous glucose monitoring with laboratory data
Medical Advisory Board Inquiries
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