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Prediction of a Panel of Programmed Cell Death Protein-1 (PD-1) Inhibitor–Sensitive Biomarkers Using Multiphase Computed Tomography Imaging Textural Features: Retrospective Cohort Analysis

Prediction of a Panel of Programmed Cell Death Protein-1 (PD-1) Inhibitor–Sensitive Biomarkers Using Multiphase Computed Tomography Imaging Textural Features: Retrospective Cohort Analysis

Furthermore, biomarkers exhibit dynamic changes throughout treatment [13], and repeated sampling poses significant challenges for patient compliance. In recent years, radiomics has enabled noninvasive characterization of tumor biology. Contrast-enhanced computed tomography (CT), a standard imaging modality for gastric cancer staging, captures spatial heterogeneity across entire tumors.

Shiqi Wang, Na Chai, Jingji Xu, Pengfei Yu, Luguang Huang, Quan Wang, Zhifeng Zhao, Bin Yang, Jiangpeng Wei, Xiangjie Wang, Gang Ji, Minwen Zheng

JMIR Cancer 2025;11:e67379

Associations Among Minority Stress, Allostatic Load, and Drug and Alcohol Use in Sexual Minorities: Protocol for the Queer Health Study—a Longitudinal Feasibility Evaluation

Associations Among Minority Stress, Allostatic Load, and Drug and Alcohol Use in Sexual Minorities: Protocol for the Queer Health Study—a Longitudinal Feasibility Evaluation

To date, no studies have comprehensively measured minority stress (ie, discrimination, internalized homonegativity, concealment, and expected rejection [5]) in research examining SM biomarkers. Moreover, most research examines single markers of stress physiology. Next, the majority of research is cross-sectional. Thus, there is a need to fully explore the impact of minority stressors on a comprehensive measure of stress physiology dysregulation using longitudinal methods.

Nathan Grant Smith, Tzuan A Chen, Robert-Paul Juster, Ezemenari M Obasi, Jacob S Crocker

JMIR Res Protoc 2025;14:e73070

Next-Generation Sequencing–Based Testing Among Patients With Advanced or Metastatic Nonsquamous Non–Small Cell Lung Cancer in the United States: Predictive Modeling Using Machine Learning Methods

Next-Generation Sequencing–Based Testing Among Patients With Advanced or Metastatic Nonsquamous Non–Small Cell Lung Cancer in the United States: Predictive Modeling Using Machine Learning Methods

The care of patients with non–small cell lung cancer (NSCLC) has changed dramatically since the early 2010s, from a chemotherapy-based approach that was tailored only to the disease histology (squamous or nonsquamous tumors) to becoming a disease with multiple actionable biomarkers that can identify targeted therapies associated with superior outcomes based on individual patient genomic characteristics [1,2].

Alan James Michael Brnabic, Ilya Lipkovich, Zbigniew Kadziola, Dan He, Peter M Krein, Lisa M Hess

JMIR Cancer 2025;11:e64399

Risk Stratification in Immunoglobulin A Nephropathy Using Network Biomarkers: Development and Validation Study

Risk Stratification in Immunoglobulin A Nephropathy Using Network Biomarkers: Development and Validation Study

This suggests that clinicians should assess Ig AN holistically, not just focusing on the renal biomarkers. To assess Ig AN’s prognosis, several stratification models have emerged, with the International Immunoglobulin A Nephropathy Prediction Tool (IIg AN-PT) by Barbour et al [12] being the most widely accepted.

Jiaxing Tan, Rongxin Yang, Liyin Xiao, Lingqiu Dong, Zhengxia Zhong, Ling Zhou, Wei Qin

J Med Internet Res 2025;27:e65563

Digital Migration of the Loewenstein Acevedo Scales for Semantic Interference and Learning (LASSI-L): Development and Validation Study in Older Participants

Digital Migration of the Loewenstein Acevedo Scales for Semantic Interference and Learning (LASSI-L): Development and Validation Study in Older Participants

The LASSI-L has also differentiated between persons who are amyloid positive versus amyloid negative on the basis of other AD biomarkers such as plasma p-tau 181 [19] as well as plasma AB42/AB40 ratios using mass spectrometry. A critical pragmatic factor associated with the LASSI-L is its cross-cultural sensitivity. Spanish and English versions of the test are equivalently valid [20-22] and have shown both multilingual and cross-cultural validity.

Philip Harvey, Rosie Curiel-Cid, Peter Kallestrup, Annalee Mueller, Andrea Rivera-Molina, Sara Czaja, Elizabeth Crocco, David Loewenstein

JMIR Ment Health 2025;12:e64716

Exploring Molecular Genetics Research on Obesity in Malaysia: Protocol for a Scoping Review

Exploring Molecular Genetics Research on Obesity in Malaysia: Protocol for a Scoping Review

However, only 12.3% of studies used experimental methods to investigate potential biomarkers, with genetic studies receiving minimal attention [19]. Moreover, the lack of a systematic compilation of existing research hampers efforts to effectively build upon previous work, exacerbating the challenge of designing new studies to address the research gap.

Liyana Ahmad Zamri, Norhashimah Abu Seman, Nur Azlin Zainal Abidin, Siti Sarah Hamzah

JMIR Res Protoc 2024;13:e60838

Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis

Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis

Biomarkers could help detect individuals at risk of AD before symptoms occur. Cerebrospinal fluid (CSF) testing is considered the most reliable marker of progression of AD. Brain neuroimaging like computerized tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET), blood tests, and genetic testing are attracting increasing attention as important markers of this pathology [1,9,10]. CSF biomarkers such as β-amyloid 42 and tau and phosphor tau are key indicators of AD [11].

Gopi Battineni, Nalini Chintalapudi, Francesco Amenta

JMIR Aging 2024;7:e59370

Correlation Between Electronic Patient-Reported Outcomes and Biological Markers of Key Parameters in Acute Radiation Cystitis Among Patients With Prostate Cancer (RABBIO): Prospective Observational Study

Correlation Between Electronic Patient-Reported Outcomes and Biological Markers of Key Parameters in Acute Radiation Cystitis Among Patients With Prostate Cancer (RABBIO): Prospective Observational Study

The identification of serum and urine biomarkers linked to RC is essential in order to characterize the kinetics of RC onset and predict the toxic effects of irradiation. This clinical trial thus aims to combine patient-related outcomes on adverse events and Qo L following radiotherapy, with an analysis of serum and urinary biomarkers that may be predictive of toxicity.

Carole Helissey, Sophie Cavallero, Nathalie Guitard, Hélène Thery, Charles Parnot, Antoine Schernberg, Imen Aissa, Florent Raffin, Christine Le Coz, Stanislas Mondot, Christos Christopoulos, Karim Malek, Emmanuelle Malaurie, Pierre Blanchard, Cyrus Chargari, Sabine Francois

JMIR Cancer 2024;10:e48225

Digital Phenotyping of Mental and Physical Conditions: Remote Monitoring of Patients Through RADAR-Base Platform

Digital Phenotyping of Mental and Physical Conditions: Remote Monitoring of Patients Through RADAR-Base Platform

Digital biomarkers offer a host of advantages for measuring our health over traditional assessment approaches that are typically confined to clinical settings, including decentralization, scalability, sampling frequency and real-time measurement, and affordability. However, significant challenges remain with implementing digital biomarkers. Digital biomarkers developed from sensor data can help with prevention and early intervention to better diagnose and manage disease.

Zulqarnain Rashid, Amos A Folarin, Yuezhou Zhang, Yatharth Ranjan, Pauline Conde, Heet Sankesara, Shaoxiong Sun, Callum Stewart, Petroula Laiou, Richard J B Dobson

JMIR Ment Health 2024;11:e51259