Since nail involvement is deemed a common and important problem in patients with psoriasis, reliable repeatable specific measures are necessary to evaluate a disease severity and its response to a specific treatment. Nail Psoriasis Severity index (NAPSI) is most commonly used investigator-measured nail assessments in clinical trials. In NAPSI assessment, the nail is divided with imaginary horizontal and longitudinal lines into four quadrants. Each nail is given a score by rating the presence (1) or absence (0) of features of the four features psoriatic nail matrix disease and the four features of psoriatic nail bed disease in each of 4 quadrants, leading to a possible total score of 0–80 (for 10 fingers). To facilitate the assessment process and alleviate doctor’s workload, an automatic system for measuring nail psoriasis severity is an essential solution. In recent years, artificial intelligence has proven its strength in assisting medical diagnosis. Convolutional deep neural network (CNN) performs promisingly in object recognition and image classification. In this work, we have successfully developed a nail imaging system prototype, and developed a workflow which integrate image data collection, feature analysis, and evaluating NAPSI score. By using standardized images as training data, accuracy of model was improved, yielding a mean of accuracy for each class was 91.5 percent. This user-friendly, rapid evaluation-assisting system shows the potential of implementation in clinical setting Highlights We developed a in-house nail image acquisition sys-tem to collect standardized data. Utilized deep learning in detecting nail and distin-guishing signs of nail psoriasis. Automated NAPSI score calculation after gathering results from deep learning model.
This study introduces a highly biocompatible hybrid interface of graphene oxide (GO) and collagen type I (COL-I), whose surface topological nanostructure can effectively inhibit the differentiation of fibroblasts into myofibroblasts. The structure and roughness of this coating interface may be more easily adjusted at the nanoscale level through changes to the GO concentration, thereby effectively inducing the polarization of macrophages to the M1 state associated with an anti-fibrotic effect, without producing excessive amounts of pro-inflammatory factors. It is believe that this study makes a significant contribution to the literature because the study results demonstrate that the GO-COL interface provides definite advantages in modulating cell interactions between fibroblasts and macrophages, overcoming the limits of interfaces using GO or extra cellular matrix (ECM) alone. By adjusting the GO concentration, the level of crosslinking in the GO-COL network as well as the surface roughness can be regulated. In addition, the oxidative ability of the GO flakes on this hybrid interface provides it a unique ability to inhibit fibrosis through immune regulation, and subsequently bestows anti-fibrotic properties on materials commonly used in implants such as glass, titanium, and nitinol. Thus, these inorganic materials have great potential for use in medical implants and cell-material interfaces.
Migraine is a common and complex neurovascular disorder. Clinically, the diagnosis of migraine mainly relies on scales, but the degree of pain is too subjective to be a reliable indicator. It is even more difficult to diagnose the medication-overuse headache, which can only be evaluated by whether the symptom is improved after the medication adjustment. Therefore, an objective migraine classification system to assist doctors in making a more accurate diagnosis is needed. In this research, 13 healthy subjects (HC), 9 chronic migraine subjects (CM), and 12 medication-overuse headache subjects (MOH) were measured by functional near-infrared spectroscopy (fNIRS) to observe the change of the hemoglobin in the prefrontal cortex (PFC) during the mental arithmetic task (MAT). Our model shows the sensitivity and specificity of CM are 100 percent and 75 percent, and that of MOH is 75 percent and 100 percent.The results of the classification of the three groups prove that fNIRS combines with machine learning is feasible for the migraine classification.
Ultrasound in Medicine and Biology (2023-02-01) Ultrasound Stimulation Potentiates Management of Diabetic Hyperglycemia 生醫所 陳榮治 (通訊作者) / JIF:3.694 / Rank:Q1 (21.8 percent) Glucose homeostasis is the only way to manage diabetic progression as all medications used do not cure diabetes. This study was aimed at verifying the feasibility of lowering glucose with non-invasive ultrasonic stimulation.The ultrasonic device was homemade and controlled via a mobile application on the smartphone. Diabetes was induced in Sprague-Dawley rats through high-fat diets followed by streptozotocin injection. The treated acupoint CV12 was at the middle of the xiphoid and umbilicus of the diabetic rats. Parameters of ultrasonic stimulation were an operating frequency of 1 MHz, pulse repetition frequency of 15 Hz, duty cycle of 10 percent and sonication time of 30 min for a single treatment. The diabetic rats exhibited a significant decrease of 11.5 percent± 3.6 percent in blood glucose in 5 min of ultrasonic stimulation (p < 0.001). After the single treatment on the first day, third day and fifth day in the first week, the treated diabetic rats had a significantly small area under the curve of the glucose tolerance test (p < 0.05) compared with the untreated diabetic rats in the sixth week. Hematological analyses indicated that the serum concentrations of β-endorphin were significantly increased by 58 percent ± 71.9 percent (p < 0.05) and the insulin level was increased by 56 percent ± 88.2 percent (p = 0.15) without statistical significance after a single treatment. Therefore, non-invasive ultrasound stimulation at an appropriate dose can produce a hypoglycemic effect and improve glucose tolerance for glucose homeostasis and may play a role as adjuvant therapy with diabetic medications in the future.
Talanta (2023-03-01) Application of Aminobenzoic Acid Electrodeposited Screen-printed Carbon Electrode in the beta-amyloid Electrochemical Impedance Spectroscopy Immunoassay 生醫所 陳榮治 (通訊作者) / JIF:6.556 / Rank:Q1 (12.7 percent) Alzheimer's disease (AD) is one of the important neurodegenerative diseases, in the modern aging society, it has become an issue people need to work on. Of the pathogenic factor which leads to AD, beta-amyloid (Aβ) is the most important one. It can form the senile plaque which aggregates in the neuron and interrupts the signal transmission. This research is based on the electrochemical system and screen-printed carbon electrode (SPCE) incorporated with pretreatment, electrodeposition, electrochemical impedance spectroscopy (EIS), antibody, and blocking agent. This immunosensor is applied to detect the different concentrations of Aβ. The standard curve between electrical impedance and concentration of Aβ is calculated. The specificity of the immunosensor is tested. This survey optimizes the electrodeposition condition for 4-aminobenzoic acid (4-ABA) and the parameter for antibody and blocking agents. This study fabricates a more dense, uniform, and stable film of 4-ABA. This sensor presents a range of detection from 1 fg/ml to 100 pg/ml and a limit of detection to 3.84 fg/ml. This sensor can identify the isoform of Aβ. This research shortens the fabricating time to 3.5 h. This study fabricates a label-free and low-cost immunosensor for Aβ with a short fabricating time, high stability, wide range of detection, low limit of detection, and good specificity. The impedance of the carbon printed electrodes is very high and is always measured by its current but this study provides a fabrication technique for high-efficiency carbon printed electrodes for electrochemical impedance spectroscopy sensing.
Sensors and Actuators B: Chemical (2023-01-01) In situ detection of multitarget impurities on contact lens by electrochemical scanning probe 生醫所 林子恩 (第一作者 通訊作者) / JIF:9.221 / Rank:2/64, INSTRUMENTS & INSTRUMENTATION Identifying multitarget impurities on contact lenses is challenging because traditional methods such as polymerase chain reaction cannot be used on the unknown target. Other sampling methods often require expensive antibodies or dyes. Therefore, this research focuses on the detection of multitarget impurities in situ on the lens surface as a more innovative and effective label-free assay using scanning electrochemical microscopy (SECM). Impurities were investigated using an electrochemical assay and an oxygen consumption assay. The electrochemical activity of BSA and the bacteria adhered to the contact lenses was explored using a FcMeOH solution. The experimental results revealed the difference in current values of the clean and protein-adsorbed contact lens samples. Furthermore, SECM can be used to detect the oxygen consumption of aerobic microbes using the oxygen reduction method. Thus, contaminated microbes can be identified without labeling in phosphate buffer saline. The mass spectra of the contact lenses were studied and the adsorption of impurities was verified. Finally, contact lens samples were investigated from various patients with ocular infection diagnosed with corneal ulcers, preseptal cellulitis, and orbital cellulitis. As a result, SECM could be a new tool for distinguishing the cleanliness of contact lenses in the future.
Biosensors and Bioelectronics (2023-05-23) Rapid detection of live bacteria in water using nylon filter membrane-integrated centrifugal microfluidics 生醫所 李博仁 (通訊作者) / JIF:12.545 / Rank:Top 3.45 percent (3/87)(CHEMISTRY, ANALYTICAL) Water is one of the most indispensable elements for human beings. People can live without food for a couple of weeks but cannot live without water for a couple of days. Unfortunately, drinking water is not always safe around the world; in many areas, the water for drinking could be contaminated with various microbes. Therefore, in this work, we report a novel, simple, and highly efficient strategy to detect live bacteria in water via a nylon membrane-integrated centrifugal microfluidic device. We highly anticipate that this platform can improve water quality monitoring in resource-poor countries soon.
Journal of Biophotonics (2023-06-06) Intraoperative application of optical coherence tomography for lung tumor 生醫所 孫家偉 (通訊作者) / JIF:2.8 / Rank:"46/100 46 percent OPTICS" On-site instant determination of benign or malignant tumors for deciding the types of resection is crucial during pulmonary surgery. We designed a portable spectral-domain optical coherence tomography (SD-OCT) system to do real-time scanning intraoperatively for the distinction of fresh tumor specimens in the lung. A total of 12 ex vivo lung specimens from six patients were enrolled. Three patients were diagnosed with invasive adenocarcinoma (IA), while the others were benign. After OCT-imaged reconstruction, we compared the qualitative morphology of OCT and histology among malignant, benign, and normal tissues. In addition, through analysis of the quantitative data, a discrete difference in optical attenuation coefficients around the junctional surface was shown by our data processing. This study demonstrated a feasible OCT-assisted resection guide by a rapid on-site tumor diagnosis. The results indicate that future deep learning of OCT-captured image systems able to improve diagnostic and therapeutic efficiency is warranted.
Our platform provides a convenient and sensitive strategy for rapid monitoring. We highly anticipate that this platform can improve water quality monitoring in resource-poor countries in the near future.