Geriatrics, dementia research, medication safety, frailty, biomarker interpretation, technical systems, and clinical AI.
Krzysztof Wilczyński is a physician, geriatrician, physician-scientist, and assistant professor at the Medical University of Silesia in Katowice, Poland. His work combines clinical geriatrics, dementia and cognitive research, medication safety, frailty, functional outcomes, biomarker interpretation, and the evaluation of AI-assisted tools in medicine.
Research collaborations have included major institutions and companies from the following countries: Australia · United States · The Netherlands · Italy · United Kingdom · Sweden · Germany · Hong Kong/China · Poland · Portugal · Japan
Clinical base: Geriatric inpatient care, multimorbidity, frailty, cognitive impairment, polypharmacy, discharge complexity.
Research base: Dementia, biomarkers, medication safety, frailty, functional outcomes, clinical AI.
Technical base: software development, web systems, database architecture, server administration, online business ventures.
He completed undergraduate training in Biochemistry at the University of Oregon, Clark Honors College, graduating with honors. His early academic training included molecular biology, RNA biology, gene regulation, and laboratory research related to RNA polymerase II in yeast.
He received his medical degree from Jagiellonian University Collegium Medicum in Kraków and completed postgraduate medical internship training at Jagiellonian University Hospital.
He later completed specialist training in internal medicine and geriatrics at the Upper Silesian Medical Center in Katowice, a university hospital affiliated with the Medical University of Silesia.
He holds a specialist title in geriatrics and a doctoral degree in medical sciences.
He passed the Polish National Medical Licensing Examination and completed ECFMG certification in the United States, including USMLE Step 1, Step 2 Clinical Skills, and Step 2 Clinical Knowledge. He also completed USMLE Step 3.
This background reflects formal medical training and credentialing experience across both European and United States systems.
He works as an attending physician in the geriatrics ward of the Upper Silesian Medical Center in Katowice, part of the Medical University of Silesia. His clinical work focuses on hospitalized older adults with multimorbidity, frailty, cognitive impairment, delirium, functional decline, polypharmacy, medication-related adverse effects, caregiver dependence, and complex discharge needs.
He also has clinical experience in internal medicine, metabolic disease, pulmonology on-call work, and geriatric inpatient and outpatient care.
He is an assistant professor in the Department of Internal Medicine and Geriatrics at the School of Health Sciences, Medical University of Silesia in Katowice.
He manages a student research organization at the School of Health Sciences, supporting student and postgraduate work including case reports, presentations, research reports, and clinical research projects.
His research and publications cover dementia and cognition, centenarian and near-centenarian cognitive outcomes, frailty, functional status, fall risk, neuropsychiatric symptoms, anticholinergic burden, polypharmacy, medication safety, pressure injury risk, palliative-care complexity, and geriatric inpatient outcomes.
Current research interests include miRNA and other blood-based biomarkers for Alzheimer’s disease and cognitive decline, as well as the interpretation of molecular, functional, medication-related, and computational signals in older-adult populations.
Across these areas, a recurring methodological concern is whether a biomarker, model, endpoint, intervention, or study result remains clinically meaningful and applicable in older adults with multimorbidity, polypharmacy, frailty, cognitive impairment, and functional decline.
Alongside medicine, he has a long-standing technical background in programming, web systems, database architecture, server administration, and online business ventures. His programming experience includes C/C#, Java, Perl, PHP, ASP, HTML, custom web projects, e-commerce, encryption, security, Linux administration, Python statistical analysis, and Windows server administration.
This technical background is relevant to his work on AI-assisted research, evidence synthesis, clinical documentation tools, workflow design, digital health, and the methodological evaluation of computational tools in medicine.
His interest in clinical AI focuses on the evaluation of AI-assisted tools in real clinical and research settings, particularly in older-adult care. Relevant issues include output accuracy, hallucination risk, data leakage, validation strategy, population mismatch, model monitoring, workflow fit, human oversight, explainability, governance, and applicability to frail, cognitively impaired, or multimorbid older adults.
The emphasis is not only on technical performance, but also on clinical meaning, actionability, validation design, and whether a tool can be safely and usefully applied in the setting for which it is intended.