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Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder.
Neuroradiology
January 2025
Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Introduction: Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it difficult for clinicians to distinguish them potentially resulting in misdiagnosis. This study combined structural MRI and machine learning techniques to determine whether regional morphological differences could distinguish patients with BD and MDD.
Methods: A total of 123 participants, including BD (n = 31), MDD (n = 48), and healthy controls (HC, n = 44), underwent high-resolution 3D T1-weighted imaging.
Monitoring of drinking water quality: a preliminary approach by an electronic tongue based on functionalized polymer membrane electrodes.
Anal Methods
November 2017
Materials Science Centre, Indian Institute of Technology, Kharagpur-721302, India.
Functionalized polymer membrane electrodes based multichannel sensor is used as an electronic tongue to monitor the drinking water (DW) quality simply by measuring the surface electric potential with respect to Ag/AgCl reference electrode in 1 mM aqueous KCl. Changes of minute concentration of dissolved minerals greatly affected the surface potential of the sensor. The three-channel sensor device (electronic tongue) is made by using three different functionalized polymer membrane electrodes, namely, phosphorylated hexadecyl trimethyl ammonium chloride modified polyvinyl alcohol-polyacrylic acid membrane; phosphorylated and crosslinked polyvinyl--ethylene membrane; phosphorylated and crosslinked polyvinyl alcohol membrane, as working electrodes and a Ag/AgCl reference electrode.
View Article and Find Full Text PDFPortable devices for periodic monitoring of bioelectrical impedance along meridian pathways in healthy individuals.
Biomed Eng Online
January 2025
Department of Cardiovascular Surgery, Division of Cardiovascular Medicine, The Sixth Medical Center, Chinese PLA General Hospital, No.6 of Fucheng Road, Haidian District, Beijing, 100853, China.
Objective: This study aims to investigate the monthly variation patterns of bioelectrical impedance (BEI) along 24 meridian pathways in healthy individuals.
Methods: A cohort of 684 healthy middle-aged participants from North China was enrolled between July 1, 2017, and September 5, 2020. BEI measurements were consistently recorded along the 24 meridian pathways over the study period.
Evaluation of macular retinal oximetry across different levels of diabetic retinopathy: a cross sectional study.
BMC Ophthalmol
January 2025
College of Optometry, University of Houston College of Optometry, 4401 Martin Luther King Blvd, 77204-2020, Houston, TX, USA.
Background: This study evaluates retinal oxygen saturation and vessel density within the macula and correlates these measures in controls and subjects with type 2 diabetes (DM) with (DMR) and without (DMnR) retinopathy. Changes in retinal oxygen saturation have not been evaluated regionally in diabetic patients.
Methods: Data from seventy subjects (28 controls, 26 DMnR, and 16 DMR were analyzed.
Methods for modeling gestational weight gain: empirical application using electronic health record data from a safety net population.
BMC Pregnancy Childbirth
January 2025
Oregon Health & Science University-Portland State University School of Public Health, Portland, OR, USA.
Background: Understanding the risks and effects of gestational weight gain (GWG) is a prominent area of perinatal research but approaches for quantifying GWG are evolving and remain underdeveloped, especially in clinical settings for underserved demographic subgroups. To fill this gap, we demonstrated and compared six GWG metrics across pre-pregnancy BMI classifications: total GWG, trimester-specific linear rate of GWG, adherence to total and trimester-specific recommendations, area under the curve, and GWG for gestational age z-scores.
Methods: We used clinical data on 44,801 pregnant people from community-based health care organizations with extensive longitudinal measures and substantial representation of understudied subgroups.
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