Endocrine Society
Full Member. The professional society of endocrinologists, diabetes physicians, and basic scientists in endocrine physiology and disease.
About the principal
Biographical summary
Dr. Borges connects clinical medicine, artificial intelligence, and genomic science to build data driven systems that advance precision endocrinology and enable safer, more effective clinical decision making. The stated mission is to translate complex molecular and clinical data into actionable, ethical, and scalable innovations across healthcare systems.
A clinician scientist and endocrinologist with more than twenty years of experience at the intersection of medicine, data science, and translational research, his work focuses on research, informatics, and digital health infrastructure that bridges clinical knowledge with academic investigation and real world deployment.
As Founder, Chief Executive Officer, and Chief Scientist of FxMEDUS, LLC, Dr. Borges leads initiatives integrating health informatics, computational biology, and artificial intelligence to design scalable solutions for metabolic and aging related diseases. Flagship platforms including MitoCoreX and DrugSynthAI apply multi agent architectures, reinforcement learning, and in silico experimentation for compound generation, biomarker discovery, and mitochondrial therapeutics research.
Academic training includes a Master of Science in Health Informatics at Boston University and completion of the Harvard Medical School Global Clinical Scholars Research Training Program with a concentration in Genetic Epidemiology. During the Harvard program, Dr. Borges developed the project Hidden Biases in AI Powered Breast Cancer Genomic Subtype Prediction, examining algorithmic fairness, shortcut learning, and causal confounding in large scale omics data. The capstone research was subsequently published as Auditing Shortcut Learning in AI Based Breast Cancer Genomic Subtyping in JAMIA Open after multiple rounds of peer review (10.1093/jamiaopen/ooaf177).
Dr. Borges contributes to peer reviewed research, editorial activities, and international collaborations focused on responsible AI, clinical informatics, and translational science. The work emphasises reproducibility, governance, and interoperability to support evidence based innovation in healthcare.
Open to research collaboration, consulting, and executive or advisory roles at the intersection of clinical AI, genomics, and digital health.
Academic training and certification
Complete record verified on ORCID affiliations. Primary source documents available on request for credential verification, institutional credentialing, and regulatory purposes.
Graduate training in clinical data analytics, machine learning for healthcare, database systems, and health information systems architecture. Research concentration in governed clinical AI systems.
Year long intensive training in clinical and epidemiologic research methodology under Harvard Medical School faculty. Expertise in causal inference (DAGs, propensity scores, instrumental variables), longitudinal data analysis, survival modeling (Kaplan Meier, Cox regression), and multilevel modeling. Capstone research on shortcut learning in AI based genomic subtyping published in JAMIA Open.
Specialization covering the social and technical context of health informatics, data science of health informatics, and leading change in health informatics. Applied Python and R for clinical dataset analysis and machine learning model development.
Applied Python and Biopython for genomic sequence manipulation, BLAST integration, alignment algorithms, and variant analysis. Algorithms for DNA sequencing with emphasis on genomic data science applied to precision medicine pipelines.
Rigorous program covering the full translational pipeline from drug discovery to market. Included industry dynamics in pharma and biotech, clinical trial design, pharmacokinetic and pharmacodynamic analysis, therapeutic indication selection, and commercialization strategy.
Advanced training in pharmacokinetic and pharmacodynamic modeling, CYP mediated drug metabolism, transporter function, population pharmacology, and clinical trial design for pharmacologic intervention.
Advanced training in ethical and regulatory frameworks governing secondary use of clinical data for digital health, machine learning, and AI driven research. Human subjects research ethics and regulatory compliance focused on secondary analysis of deidentified data and biospecimens.
Clinical informatics training for practicing healthcare professionals. Focus on software development for healthcare, digital health transformation, and operational deployment of informatics systems in clinical practice.
Required research security training covering controlled unclassified information handling, foreign influence disclosure, intellectual property protection, and responsible conduct of research for federally funded and institutional research programs.
Graduate level coursework in statistical inference, machine learning foundations, supervised and unsupervised learning, neural networks, and applied research computing with R and Python for biomedical and public health data.
Comprehensive program on clinical research design, implementation, and analysis. Protocol development, biostatistical methods, regulatory frameworks for human subjects research, and translational research methodology.
Graduate thesis research on endocrine genetic disorders. Foundation for subsequent work on genetically defined disease phenotypes in precision drug discovery.
Post graduate fellowship in clinical nutrition and nutrology at one of Brazil's oldest teaching hospitals, founded in 1717. Training covered metabolic and nutritional management of endocrine disorders, diabetes, obesity, and cardiometabolic disease. Foundation for subsequent work on metabolic disease phenotypes and precision nutrition.
Residency equivalent clinical training in endocrinology, diabetes, and metabolism. Comprehensive coverage of thyroid, adrenal, pituitary, gonadal, and metabolic disorders including diabetes mellitus, obesity, dyslipidemia, and hormone replacement therapy. Clinical foundation for Brazilian board certification (RQENº 9620) and current endocrinology practice.
International medical graduate preparation program administered by the Australian Medical Council through the Victorian Medical Postgraduate Foundation. Intensive clinical review of Australian medical practice standards, evidence based medicine, and clinical decision making across all major medical specialties.
Research training in medical biochemistry funded by FAPES, the state research foundation of Espírito Santo. Advanced coursework in metabolic pathways, enzyme kinetics, mitochondrial bioenergetics, oxidative phosphorylation, and molecular mechanisms of disease. Foundation for later translational research on mitochondrial dysfunction in rare genetic disease drug discovery.
Postgraduate training in sports medicine and exercise physiology. Coverage of musculoskeletal injury management, performance optimization, exercise prescription, and metabolic adaptation to training. Clinical relevance to subsequent work on longevity, metabolic health, and the physiology of high performance training.
Six year medical degree from UNIFESO, an accredited Brazilian medical school recognized by the Ministry of Education. Comprehensive preclinical and clinical training across internal medicine, surgery, pediatrics, obstetrics, psychiatry, and community medicine. Credential recognized by the Brazilian Federal Medical Council (CFM) as foundation for all subsequent clinical practice and specialty certifications.
Board certifications and distinctions
Board certifications issued under the Brazilian federal medical council system (CFM and AMB) with specialty society endorsement. Registered as ORCID distinctions.
Employment and academic appointments
Concurrent appointments across company leadership, academic teaching, and clinical practice.
Professional memberships
Active memberships in six professional societies covering medicine, endocrinology, nutrition, sports medicine, physician scientist training, and medical informatics. Registered on ORCID affiliations.
Full Member. The professional society of endocrinologists, diabetes physicians, and basic scientists in endocrine physiology and disease.
Member. The largest association of physicians and medical students in the United States.
Member. The professional home for biomedical and health informatics professionals. Panel Reviewer for AMIA 2026 Amplify Informatics Conference.
Full Member. The only organisation representing trainee physician scientists across every career stage.
Full Member. The preeminent professional organisation for nutrition researchers and clinicians.
Full Member. The largest sports medicine and exercise science organisation in the world.
Research focus
A unified framework for governing adaptive clinical AI. Externally Governed Learning Systems as viability constrained online learning. Foundation of three US provisional patents and peer reviewed publication in JAMIA Open.
Multi agent pipelines for de novo molecule design targeting genetically defined mitochondrial defects. DrugSynthAI and MitoCoreX platforms with reinforcement learning and in silico experimentation.
Testosterone replacement therapy and cardiovascular risk. CoQ10 in cardiovascular disease. Genomic epidemiology of HFE and CYP19A1. Twenty plus years of clinical observation informing published research.
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