Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
26,413
result(s) for
"53"
Sort by:
A portable analog front-end system for label-free sensing of proteins using nanowell array impedance sensors
Proteins are useful biomarkers for a wide range of applications such as cancer detection, discovery of vaccines, and determining exposure to viruses and pathogens. Here, we present a low-noise front-end analog circuit interface towards development of a portable readout system for the label-free sensing of proteins using Nanowell array impedance sensing with a form factor of approximately 35
cm
2
. The electronic interface consists of a low-noise lock-in amplifier enabling reliable detection of changes in impedance as low as 0.1% and thus detection of proteins down to the picoMolar level. The sensitivity of our system is comparable to that of a commercial bench-top impedance spectroscope when using the same sensors. The aim of this work is to demonstrate the potential of using impedance sensing as a portable, low-cost, and reliable method of detecting proteins, thus inching us closer to a Point-of-Care (POC) personalized health monitoring system. We have demonstrated the utility of our system to detect antibodies at various concentrations and protein (45 pM IL-6) in PBS, however, our system has the capability to be used for assaying various biomarkers including proteins, cytokines, virus molecules and antibodies in a portable setting.
Journal Article
OCT-based deep-learning models for the identification of retinal key signs
A new system based on binary Deep Learning (DL) convolutional neural networks has been developed to recognize specific retinal abnormality signs on Optical Coherence Tomography (OCT) images useful for clinical practice. Images from the local hospital database were retrospectively selected from 2017 to 2022. Images were labeled by two retinal specialists and included central fovea cross-section OCTs. Nine models were developed using the Visual Geometry Group 16 architecture to distinguish healthy versus abnormal retinas and to identify eight different retinal abnormality signs. A total of 21,500 OCT images were screened, and 10,770 central fovea cross-section OCTs were included in the study. The system achieved high accuracy in identifying healthy retinas and specific pathological signs, ranging from 93 to 99%. Accurately detecting abnormal retinal signs from OCT images is crucial for patient care. This study aimed to identify specific signs related to retinal pathologies, aiding ophthalmologists in diagnosis. The high-accuracy system identified healthy retinas and pathological signs, making it a useful diagnostic aid. Labelled OCT images remain a challenge, but our approach reduces dataset creation time and shows DL models’ potential to improve ocular pathology diagnosis and clinical decision-making.
Journal Article
Machine learning-based diagnostic prediction of minimal change disease: model development study
Minimal change disease (MCD) is a common cause of nephrotic syndrome. Due to its rapid progression, early detection is essential; however, definitive diagnosis requires invasive kidney biopsy. This study aims to develop non-invasive predictive models for diagnosing MCD by machine learning. We retrospectively collected data on demographic characteristics, blood tests, and urine tests from patients with nephrotic syndrome who underwent kidney biopsy. We applied four machine learning algorithms—TabPFN, LightGBM, Random Forest, and Artificial Neural Network—and logistic regression. We compared their performance using stratified 5-repeated 5-fold cross-validation for the area under the receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (AUPRC). Variable importance was evaluated using the SHapley Additive exPlanations (SHAP) method. A total of 248 patients were included, with 82 cases (33%) were diagnosed with MCD. TabPFN demonstrated the best performance with an AUROC of 0.915 (95% CI 0.896–0.932) and an AUPRC of 0.840 (95% CI 0.807–0.872). The SHAP methods identified C3, total cholesterol, and urine red blood cells as key predictors for TabPFN, consistent with previous reports. Machine learning models could be valuable non-invasive diagnostic tools for MCD.
Journal Article
السيرة النبوية من الولادة إلى الوفاة
يعد كتاب \"السيرة النبوية من الولادة إلى الوفاة\" دراسة تاريخية ودعوية شاملة تسرد محطات حياة الرسول بأسلوب يجمع بين التحقيق التاريخي والاستنباط التربوي. يتناول الدكتور سالم العجمي أحداث السيرة بدءاً من إرهاصات الولادة والنشأة في مكة، مروراً ببعثته وهجرته، وصولاً إلى تأسيس الدولة الإسلامية في المدينة المنورة وختاماً بوفاته ﷺ. يركز المؤلف على تقديم السيرة النبوية لا كحوادث تاريخية مجردة فحسب، بل كمنهج حياة متكامل، مع استخلاص الدروس والعبر والمواقف التي تهم المسلم في عصره الحديث. يتميز الكتاب بسلاسة العرض واعتماده على المصادر الصحيحة والموثقة، مما يجعله مناسباً لمختلف الفئات العمرية والباحثين عن معرفة سيرة النبي برؤية شرعية منضبطة.
BOOK
Astrocyte reactivity influences amyloid-β effects on tau pathology in preclinical Alzheimer’s disease
An unresolved question for the understanding of Alzheimer’s disease (AD) pathophysiology is why a significant percentage of amyloid-β (Aβ)-positive cognitively unimpaired (CU) individuals do not develop detectable downstream tau pathology and, consequently, clinical deterioration. In vitro evidence suggests that reactive astrocytes unleash Aβ effects in pathological tau phosphorylation. Here, in a biomarker study across three cohorts (
n
= 1,016), we tested whether astrocyte reactivity modulates the association of Aβ with tau phosphorylation in CU individuals. We found that Aβ was associated with increased plasma phosphorylated tau only in individuals positive for astrocyte reactivity (Ast
+
). Cross-sectional and longitudinal tau–positron emission tomography analyses revealed an AD-like pattern of tau tangle accumulation as a function of Aβ only in CU Ast
+
individuals. Our findings suggest astrocyte reactivity as an important upstream event linking Aβ with initial tau pathology, which may have implications for the biological definition of preclinical AD and for selecting CU individuals for clinical trials.
Cross-sectional and longitudinal analyses of tau pathology in preclinical Alzheimer’s disease reveal that tau tangles accumulate as a function of amyloid-β burden only in individuals positive for an astrocyte reactivity biomarker.
Journal Article
بسط التجربة النبوية
دراسة فكرية وفلسفية عميقة تندرج ضمن مباحث \"الهيرمينوطيقا\" (علم التفسير) والكلام الجديد. يطرح الدكتور عبد الكريم سروش أطروحته حول \"بشرية وتاريخية\" التجربة النبوية، معتبراً أن الوحي ليس مجرد إلقاء لفظي جامد، بل هو تجربة روحية باطنية للنبي تتأثر بشخصيته، ولغته، وثقافة عصره. يفرق الكتاب بين \"الدين\" في جوهره الإلهي وبين \"المعرفة الدينية\" كفهم بشري متغير، جادلاً بأن التجربة النبوية قابلة للبسط والاستمرار عبر تجارب العرفاء والمصلحين. يهدف العمل إلى التوفيق بين الإيمان والعقلانية الحديثة عبر إعادة قراءة مفهوم النبوة والوحي بعيداً عن القراءات التقليدية الحرفية.
BOOK
Toward personalized treatment approaches for non-small-cell lung cancer
Worldwide, lung cancer is the most common cause of cancer-related deaths. Molecular targeted therapies and immunotherapies for non-small-cell lung cancer (NSCLC) have improved outcomes markedly over the past two decades. However, the vast majority of advanced NSCLCs become resistant to current treatments and eventually progress. In this Perspective, we discuss some of the recent breakthrough therapies developed for NSCLC, focusing on immunotherapies and targeted therapies. We highlight our current understanding of mechanisms of resistance and the importance of incorporating genomic analyses into clinical studies to decipher these further. We underscore the future role of neoadjuvant and maintenance combination therapy approaches to potentially cure early disease. A major challenge to successful development of rational combination therapies will be the application of robust predictive biomarkers for clear-cut patient stratification, and we provide our views on clinical research areas that could influence how NSCLC will be managed over the coming decade.
This Perspective discusses recent developments in NSCLC immunotherapy and targeted therapy, and highlights the key challenges and future directions for NSCLC management.
Journal Article