
Marcel Młyńczak, PhD, DSc
@marcelmlynczak
Biomedical Engineer; COO, CTO, Board Member & Co-founder at OASIS Diagnostics; Associate Professor at Warsaw University of Technology
ID: 961260872
https://www.marcelmlynczak.com 20-11-2012 21:41:39
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62 Followers
60 Following


This paper explored the number of training days lost due to C0VID-19 😷 and vaccination 💉 against C0VID-19 in elite athletes. 👉 doi.org/10.1016/j.jsam… Marcel Młyńczak, PhD, DSc


Fundusz zarządzający kapitałem Bank Gospodarstwa Krajowego 🇵🇱 ogłosił właśnie drugą, sporą jak na rodzime warunki inwestycję w start-up. OASIS Diagnostics SA zbliża się do komercjalizacji urządzenia do diagnostyki urazów okołoporodowych. pb.pl/fundusz-bgk-ro…




Pleased to share our latest work for sports participation for young people with heart disease with collaborators from 🇵🇱 Jakub Gąsior Marcel Młyńczak, PhD, DSc Exeter Med School @ag_stuart #Exerciseworks



Automatic Heart Rate Detection during Sleep Using Tracheal Audio Recordings from Wireless Acoustic Sensor mdpi.com/2475122 #mdpidiagnostics Diagnostics MDPI


My latest paper, available here: journals.plos.org/plosone/articl…, has been published in PLOS ONE! We utilized machine learning to predict VO2peak values from submaximal CPET cardiorespiratory data and applied explainable AI to gain insights into features. #VO2peak #MachineLearning #XAI




Already presented 😉 Great experience, as always! Thank you IEEE Engineering Medicine and Biology Society #EMBC2024


Validity of the Pneumonitor for Analysis of Short-Term Heart Rate Asymmetry Extended with Respiratory Data in Pediatric Cardiac Patients mdpi.com/2904744 #mdpijcm JCM MDPI Jakub Gąsior Maciej Rosoł

How different the return feels compared to the arrival! Grateful for a life-changing journey at the Oxford Healthcare Leadership Programme. A huge thank you to each and every one of you for fostering growth! #OxfordHealthcareLeadership2024 University of Oxford Saïd Business School Executive Education at Saïd Business School


Machine Learning Classification of Pediatric Health Status Based on Cardiorespiratory Signals with Causal and Information Domain Features Applied—An Exploratory Study mdpi.com/3070670 #mdpijcm JCM MDPI Maciej Rosoł Jakub Gąsior

I'm thrilled to share that the last paper in my PhD cycle has been published. ML Classification of Pediatric Health Status Based on Cardiorespiratory Signals with Causal and Information Domain Features Applied mdpi.com/2077-0383/13/2… JCM MDPI Marcel Młyńczak, PhD, DSc Jakub Gąsior

Pleased to announce the publication of the latest study on #ONIRY system, in Scientific Reports: “Detection of obstetric anal sphincter injuries using machine learning-assisted impedance spectroscopy” nature.com/articles/s4159…