Riveted Interconnections of Capacitance-Matched MXene-Based Yarn Supercapacitors Enable Seamless Energy Integration in Textiles.

Electronic textiles are a transformative technology set to revolutionize next-generation wearable devices. However, a major challenge is making efficient yarn-based energy systems that power flexible wearables while blending seamlessly into textiles for unobstructed applications. Herein, 2D materials-coated yarn supercapacitors (YSCs) are designed, offering a promising solution through capacitance-matched electrode fabrication and a novel customizable riveted interconnection strategy for textile integration.

A Deep Learning and Explainable Artificial Intelligence based Scheme for Breast Cancer Detection.

Incorporating Artificial Intelligence (AI) presents significant potential for transforming multiple aspects of the healthcare sector, encompassing administration, medical prediction, decision-making, and diagnostics. However, its often perceived enigmatic nature is a significant barrier to the widespread use of AI in the medical field. AI systems, specifically deep learning models, have demonstrated exceptional performance, often comparable to that of humans.

An adolescent with newly diagnosed Wilson disease having underlying type 1 diabetes: A previously unreported combination.

Wilson's disease is a copper deposition disease; involving the brain, liver, and eyes with onset commonly in adolescent age group. The onset of symptoms typically occurs around 12-15 years of age. The usual manifestations are hepatic (40% of the cases), neurological (35%) or psychiatric (10%).

A child with tuberous sclerosis having Novel NRAS gene mutation.

Tuberous sclerosis (TS) is a rare genetic disorder of autosomal-dominant inheritance. Mutations on either of the two genes Tuberous Sclerosis Complex 1 (TSC1) or Tuberous Sclerosis Complex 2 (TSC2) will lead to hamartomas formation involving many organs, such as the brain, heart, kidneys, skin, lungs, and liver. This case report is about an 11-month-old boy with epilepsy and hypomelanotic macules.

Tumor location, genomic alterations, and radiomic features as predictors of survival in glioblastoma: a Multi-Modal analysis.

Purpose: This study aims to identify the impact of tumor location on the survival of glioblastoma (GBM) patients and the associated genetic alterations, using MRI scans from The Cancer Imaging Archive (TCIA) and genomic data from The Cancer Genome Atlas (TCGA). It also seeks to uncover non-invasive radiomic markers related to poor survival outcome for improved prognosis and treatment planning.

Methods: We analysed pre-operative MRI scans and genomic data from 123 GBM patients (TCIA and TCGA).

Dual-Task Predictors in Graduate Healthcare Students with Athletic Backgrounds.

Graduate healthcare students may have athletic backgrounds with history of concussion. Since these students spend much time multi-tasking while guarding, transferring, and treating patients in clinical settings, understanding the potential impact of external factors on dual-task abilities may help better equip them for success. # Purpose The purpose of this study was to explore the relationship between concussion history, concussion education, and athletic history on academic performance and different single- and dual-task assessments among graduate healthcare students.

Investigating RND efflux pumps in P4: the role of nonpathogenic bacteria in antibiotic resistance gene spread amid environmental contamination.

The widespread and inappropriate application of antibiotics across human and veterinary medicine has generated pressing global health threats, principally the emergence of antimicrobial resistance (AMR) and the contamination of the environment with antibiotics. A fundamental mechanism fueling environmental AMR is the proliferation and horizontal dissemination of antibiotic resistance genes (ARGs), with efflux transporter proteins functioning as central intermediaries. Surprisingly, nonpathogenic bacteria, which are usually regarded as harmless, now pose a substantial risk to society due to the presence of efflux transporters, which make them AMR contributors.

Task relevance selectively modulates sensorimotor adaptation in the presence of multiple prediction errors.

Adaptation to consistently occurring sensorimotor errors is considered obligatory in nature. We probed the robustness of this finding by asking if humans can selectively attenuate adaptation based on the task-relevance of error signals. Subjects made planar reaches to three different targets: an arc (experiment 1), a bar (experiment 2), and a point (experiment 3).

Acute Hemichorea-Hemiballismus in Patients with Tuberculous Meningitis: An Atypical Manifestation of Stroke.

We report two cases of tuberculosis meningitis patients developing hemichorea-hemiballismus during antituberculosis treatment. First, a 56-year-old woman experienced right-sided hemichorea-hemiballismus 3 months into treatment. MRI scans revealed a left thalamus and subthalamic infarct.

Integrated Immuno and bioinformatics assisted novel epitope vaccine against HIV infection: a study based on complete genome.

Background: As the HIV-based complication is still going on with the high infection and mortality rate, it requires a novel strategy to combat this infection due to the unavailability of proper therapeutic. Therefore, we utilize integrated immuno and bioinformatics approaches in this study to design a peptide vaccine against HIV infection by targeting its complete genome.

Methods: The complete genome sequence was analyzed, and the potential B and T cells were predicted.

Real-world deployment of a fine-tuned pathology foundation model for lung cancer biomarker detection.

Artificial intelligence models using digital histopathology slides stained with hematoxylin and eosin offer promising, tissue-preserving diagnostic tools for patients with cancer. Despite their advantages, their clinical utility in real-world settings remains unproven. Assessing EGFR mutations in lung adenocarcinoma demands rapid, accurate and cost-effective tests that preserve tissue for genomic sequencing.

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.

Computational competitions are the standard for benchmarking medical image analysis algorithms, but they typically use small curated test datasets acquired at a few centers, leaving a gap to the reality of diverse multicentric patient data. To this end, the Federated Tumor Segmentation (FeTS) Challenge represents the paradigm for real-world algorithmic performance evaluation. The FeTS challenge is a competition to benchmark (i) federated learning aggregation algorithms and (ii) state-of-the-art segmentation algorithms, across multiple international sites.

Investigation of Novel Etoricoxib Analogues as Potential COX-II Inhibitors through a Bioisosteric Strategy, ADMET Evaluations, Docking Studies, and Molecular Dynamics Simulations.

Background: Inflammation is a natural process; however, chronic inflammation may result in numerous health issues. Etoricoxib (ETX), a selective cyclooxygenase-2 (COX-2) inhibitor, serves as an anti-inflammatory agent for various types of arthritis. However, prolonged use of ETX is associated with several adverse effects, including cardiovascular toxicity.

Repurposing FDA approved drugs for psoriasis indications through integrated molecular docking, one-SVM algorithm, and molecular dynamics simulation approaches.

The exact cause of psoriasis is still unclear and there is no treatment available for its permanent reemission. The available biologics for disease treatment, are stated to be associated with a high cost of treatment, a significantly increased risk of serious infections, and have also been reported to show major contradictions in patients with tuberculosis and cardiovascular disorders. Therefore, drug repurposing could be an appealing strategy to find novel treatments for psoriasis, saving time, cost and with viable chance of success.

NMDAR autoimmune encephalitis associated with Sjögren's syndrome.

N-methyl-D-aspartate (NMDA) receptor encephalitis is a rare autoimmune encephalitis characterised by high morbidity and mortality, often necessitating intensive care. We report the case of a woman in her early 20s who presented with fever, altered sensorium, dyskinesia, keratoconjunctivitis sicca and xerostomia. A diagnosis of NMDA receptor encephalitis combined with Sjögren's syndrome (SS) was established based on her history, clinical findings, biochemical analysis and radiological imaging.

The Novel Approaches to Extraction Techniques, Drug Delivery Technologies, Pharmacological Applications, Patents of the Potent Flavonoid 'Luteolin': An Appraisal.

Herbal plants have been widely used in traditional medicine due to their natural origin, easy accessibility, and generally safer profile compared to synthetic drugs. Luteolin, a naturally occurring flavonoid, holds a significant place in traditional systems such as Ayurveda and Traditional Chinese Medicine, where it has been used to manage inflammation, respiratory conditions, and digestive issues, and to support overall health. It is commonly found in herbs like Ocimum sanctum L.

An integrated mutation-based immunoinformatic approach incorporating variability in epitopes: a study based on HIV subtype C.

Currently, HIV (human immunodeficiency virus) infection is one of the leading complications in public health and causes acquired immunodeficiency syndrome (AIDS), especially in the African region. No specific vaccine is available to combat this, with multi-strain variability being one of the hurdles. In this investigation, we employed variability in the epitope of the HIV subtype C targets to introduce mutations and construct an epitope-based vaccine.

COVID-19 vaccination and utility of booster dose: A community-based cross-sectional study.

Background: In 2023, the WHO declared the end of the COVID-19 pandemic, cautioning that the virus will continue to mutate and may cause sporadic outbreaks. Vaccination was critical in controlling the pandemic, though concerns persist about long-term immunity and the need for booster doses. The study aimed to assess whether vaccination enhances immunity beyond natural infection and determine the ongoing need for booster doses.

Neuroimaging in Leprosy: A Case Series Exploring Domains Beyond Peripheral Nerves.

Background and objective Leprosy, an infectious disease caused by , induces irreversible damage, necessitating early detection. The disease's neurotropism, which extends to the peripheral nerves, is well recognized. In recent years, there has been an acknowledgment of its expanding horizon beyond this traditional boundary.