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Oxidative Stress Markers and Prediction of Severity With a Machine Learning Approach in Hospitalized Patients With COVID-19 and Severe Lung Disease: Observational, Retrospective, Single-Center Feasibility Study

Oxidative Stress Markers and Prediction of Severity With a Machine Learning Approach in Hospitalized Patients With COVID-19 and Severe Lung Disease: Observational, Retrospective, Single-Center Feasibility Study

Our approach consisted in using the biomarker database as a training dataset for the SVM model (eg, the SVM training dataset). This resulted in a model capable of predicting the probability that a patient would be assigned a specific grade based on the results of a biological analysis, provided that the values did not exceed those used in the initial dataset; that is, the sum of the 3 probabilities was equal to 1.

Olivier Raspado, Michel Brack, Olivier Brack, Mélanie Vivancos, Aurélie Esparcieux, Emmanuelle Cart-Tanneur, Abdellah Aouifi

JMIR Form Res 2025;9:e66509

Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study

Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study

The ideal biomarker for sepsis screening should have the following characteristics: (1) easy to measure, (2) high sensitivity and negative predictive value for sepsis, (3) low turn-around time, and (4) always available to clinicians, especially when sepsis is not (yet) suspected. Complete blood count (CBC) parameters fulfill all of these features [8]. Indeed, CBC is the first-level laboratory test most ordered in all clinical wards, from ED to ICU.

Andrea Campagner, Luisa Agnello, Anna Carobene, Andrea Padoan, Fabio Del Ben, Massimo Locatelli, Mario Plebani, Agostino Ognibene, Maria Lorubbio, Elena De Vecchi, Andrea Cortegiani, Elisa Piva, Donatella Poz, Francesco Curcio, Federico Cabitza, Marcello Ciaccio

J Med Internet Res 2025;27:e55492

Cross-Platform Ecological Momentary Assessment App (JTrack-EMA+): Development and Usability Study

Cross-Platform Ecological Momentary Assessment App (JTrack-EMA+): Development and Usability Study

Reference 18: JTrack: a digital biomarker platform for remote monitoring of daily-life behaviour in health Reference 20: Biomarker-Development-at-INM7(https://github.com/Biomarker-Development-at-INM7)biomarker

Mehran Sahandi Far, Jona M Fischer, Svea Senge, Robin Rathmakers, Thomas Meissner, Dominik Schneble, Mamaka Narava, Simon B Eickhoff, Juergen Dukart

J Med Internet Res 2025;27:e51689

Effect of a Web-Based Heartfulness Program on the Mental Well-Being, Biomarkers, and Gene Expression Profile of Health Care Students: Randomized Controlled Trial

Effect of a Web-Based Heartfulness Program on the Mental Well-Being, Biomarkers, and Gene Expression Profile of Health Care Students: Randomized Controlled Trial

The levels are relatively steady, without much influence by the circadian rhythm, making DHEA-S a good biomarker for measuring cumulative changes in stress levels and overall health. Previous studies have shown an increase in DHEA-S levels with meditative practices and restful states of the brain [31-33]. It is likely that the practices of Heartfulness offer a restful state of the brain leading to an increase in the DHEA-S levels.

Jayaram Thimmapuram, Kamlesh D Patel, Deepti Bhatt, Ajay Chauhan, Divya Madhusudhan, Kashyap K Bhatt, Snehal Deshpande, Urvi Budhbhatti, Chaitanya Joshi

JMIR Bioinform Biotech 2024;5:e65506

Biomarkers of Response to Internet-Based Psychological Interventions: Systematic Review

Biomarkers of Response to Internet-Based Psychological Interventions: Systematic Review

According to the National Institutes of Health (NIH), a biomarker is “a defined characteristic that is measured as an indicator of normal biological processes, pathogenic processes, or biological responses to an exposure or intervention, including therapeutic interventions. Biomarkers may include molecular, histologic, radiographic, or physiologic characteristics” [5].

Giulia Gotti, Chiara Gabelli, Sophia Russotto, Fabio Madeddu, Philippe Courtet, Jorge Lopez-Castroman, Patrizia Zeppegno, Carla Maria Gramaglia, Raffaella Calati

J Med Internet Res 2024;26:e55736

Intensive, Real-Time Data Collection of Psychological and Physiological Stress During a 96-Hour Field Training Exercise at a Senior Military College: Feasibility and Acceptability Cohort Study

Intensive, Real-Time Data Collection of Psychological and Physiological Stress During a 96-Hour Field Training Exercise at a Senior Military College: Feasibility and Acceptability Cohort Study

There is a need for clear methodology and evidence to support the feasibility and acceptability of biometric and biomarker collection in the field, which has implications for overall cost and efficacy, as well as war-fighter safety and survival. The purpose of this study was to evaluate the feasibility and acceptability of intensive biomarker and biometric field data collection.

Rachele Pojednic, Amy Welch, Margaret Thornton, Meghan Garvey, Tara Grogan, Walter Roberts, Garrett Ash

JMIR Form Res 2024;8:e60925

Practical Aspects of Using Large Language Models to Screen Abstracts for Cardiovascular Drug Development: Cross-Sectional Study

Practical Aspects of Using Large Language Models to Screen Abstracts for Cardiovascular Drug Development: Cross-Sectional Study

Leveraging prior work, a Pub Med query using both available Medical Subject Headings (Me SH) and the title and abstract keyword search of Me SH Entry Terms identified observational studies of heart failure that (1) were published from 2013 to 2023, (2) contained at least one relevant biomarker (brain natriuretic peptide, N-terminal pro–atrial natriuretic peptide, N-terminal pro–brain natriuretic peptide, and peak oxygen consumption), and (3) measured long-term outcomes (hospitalization and mortality) [2].

Jay G Ronquillo, Jamie Ye, Donal Gorman, Adina R Lemeshow, Stephen J Watt

JMIR Med Inform 2024;12:e64143

Central Hemodynamic and Thermoregulatory Responses to Food Intake as Potential Biomarkers for Eating Detection: Systematic Review

Central Hemodynamic and Thermoregulatory Responses to Food Intake as Potential Biomarkers for Eating Detection: Systematic Review

The lack of consensus on blood pressure responses may limit its potential as a reliable biomarker for eating detection using wearable devices. Vascular resistance and blood flow were also examined in a subset of the included studies (n=2 and n=6, respectively). Interestingly, vascular resistance showed a consistent postprandial decrease in both studies that investigated this parameter (Multimedia Appendix 2).

Lucy Chikwetu, Parker Vakili, Andrew Takais, Rabih Younes

Interact J Med Res 2024;13:e52167