Fungal Oto-Mastoiditis- A Rare Presentation in Immunocompetent Individuals.

Fungal oto-mastoiditis is a rare condition and is often associated with host immunodeficiency. It has to be considered as a differential diagnosis among patients presenting symptoms despite an adequate antibacterial therapy. A 23-year-old female presented to the ENT OPD with complaints of occasional left ear discharge, since 2 years which was associated with itching, pain and reduced hearing.

Synthesis, characterisation of ZnO@PDA@Ag nanocomposite: Mechanistic interaction with BSA, photodegradation activity & in vitro cytotoxicity assay on H1299 lung cancer cell line.

Despite advancements in diagnosis and therapeutic, cancer retains to be a greatest cause of fatality and economic damage to the world. Metallic nanoparticles have grabbed attention particularly in the field of medicine attributed to their noteworthy biological and catalytic properties, offering significant progress. The work aimed to create a novel biocompatible 'Silver doped Polydopamine coated Zinc-Oxide nanocomposite' and investigate its efficacy in treating H1299 lung cancer cells as well as water remediation.

Performance of Mid-Upper Arm Circumference (MUAC) in Detection of Severe Acute Malnutrition (SAM), in Young Infants Aged 1 to 6 Months.

Infants are more vulnerable to malnutrition as compared with older children. Prevalence of severe wasting in Indian infants under 6 months of age (U6M) is 14.8% (National Family Health Survey 4, 2015-2016).

Laparoscopic sleeve gastrectomy in a 2-year-old child with morbid obesity: A case report with a 2-year follow-up.

Morbid obesity in infancy or early childhood is a challenging disease to manage. Here, we present the case report of the successful management of a 2-year-old girl child with morbidly obesity who was bedridden and had sleep apnoea and underwent laparoscopic sleeve gastrectomy. Bariatric surgery in this age group comes with a lot of decision-making challenges and technical and ethical considerations, and literature is scant on paediatric bariatric surgery.

Rosai-Dorfmann Disease: A Rare Disease Presenting as a Unilateral Neck Swelling.

Rosai-Dorfman disease (RDD) is a rare histiocytic proliferative disorder of unknown etiology. Usually it presents with massive painless cervical lymph node enlargement. Histologically, it shows proliferation of distinctive histiocytic cells that demonstrate emperipolesis in the background of a mixed inflammatory infiltrates.

Nonlinear elasticity and short-range mechanical coupling govern the rate and symmetry of mouth opening in .

has a tubular bilayered epithelial body column with a dome-shaped head on one end and a foot on the other. lacks a permanent mouth: its head epithelium is sealed. Upon neuronal activation, a mouth opens at the apex of the head which can exceed the body column diameter in seconds, allowing to ingest prey larger than itself.

Intraoperative margin assessment for basal cell carcinoma with deep learning and histologic tumor mapping to surgical site.

Successful treatment of solid cancers relies on complete surgical excision of the tumor either for definitive treatment or before adjuvant therapy. Intraoperative and postoperative radial sectioning, the most common form of margin assessment, can lead to incomplete excision and increase the risk of recurrence and repeat procedures. Mohs Micrographic Surgery is associated with complete removal of basal cell and squamous cell carcinoma through real-time margin assessment of 100% of the peripheral and deep margins.

Synthesis and characterization of FeO@SiO@PDA@Ag core-shell nanoparticles and biological application on human lung cancer cell line and antibacterial strains.

Novel magnetic and metallic nanoparticles garner much attention of researchers due to their biological, chemical and catalytic properties in many chemical reactions. In this study, we have successfully prepared a core-shell FeO@SiO@PDA nanocomposite wrapped with Ag using a simple synthesis method, characterised and tested on small cell lung cancer and antibacterial strains. Incorporating Ag in FeO@SiO@PDA provides promising advantages in biomedical applications.

H-Deep-Net: A deep hybrid network with stationary wavelet packet transforms for Retinal detachment classification through fundus images.

Nowadays, automated disease diagnosis has become a vital role in the medical field due to the significant population expansion. An automated disease diagnostic approach assists clinicians in the diagnosis of disease by giving exact, consistent, and prompt results, along with minimizing the mortality rate. Retinal detachment has recently emerged as one of the most severe and acute ocular illnesses, spreading worldwide.

Prognostic models for surgical-site infection in gastrointestinal surgery: systematic review.

Background: Identification of patients at high risk of surgical-site infection may allow clinicians to target interventions and monitoring to minimize associated morbidity. The aim of this systematic review was to identify and evaluate prognostic tools for the prediction of surgical-site infection in gastrointestinal surgery.

Methods: This systematic review sought to identify original studies describing the development and validation of prognostic models for 30-day SSI after gastrointestinal surgery (PROSPERO: CRD42022311019).

Mechano-Chemical Coupling in Hydra Regeneration and Patterning.

The freshwater cnidarian Hydra can regenerate from wounds, small tissue fragments and even from aggregated cells. This process requires the de novo development of a body axis and oral-aboral polarity, a fundamental developmental process that involves chemical patterning and mechanical shape changes. Gierer and Meinhardt recognized that Hydra's simple body plan and amenability to in vivo experiments make it an experimentally and mathematically tractable model to study developmental patterning and symmetry breaking.

Inferring spatial transcriptomics markers from whole slide images to characterize metastasis-related spatial heterogeneity of colorectal tumors: A pilot study.

Over 150 000 Americans are diagnosed with colorectal cancer (CRC) every year, and annually over 50 000 individuals will die from CRC, necessitating improvements in screening, prognostication, disease management, and therapeutic options. Tumor metastasis is the primary factor related to the risk of recurrence and mortality. Yet, screening for nodal and distant metastasis is costly, and invasive and incomplete resection may hamper adequate assessment.

Multimodal Neuroimaging based Alzheimer's Disease Diagnosis using Evolutionary RVFL Classifier.

Alzheimer's disease (AD) is one of the most known causes of dementia which can be characterized by continuous deterioration in the cognitive skills of elderly people. It is a non-reversible disorder that can only be cured if detected early, which is known as mild cognitive impairment (MCI). The most common biomarkers to diagnose AD are structural atrophy and accumulation of plaques and tangles, which can be detected using magnetic resonance imaging (MRI) and positron emission tomography (PET) scans.

Profile of Cardiac Involvement in Children After Exposure to COVID-19.

Objective: To evaluate the incidence and pattern of cardiac involvement in children post-COVID (coronavirus disease) infection in a tertiary care referral hospital in India.

Methods: A prospective observational study was conducted including all consecutive children with suspected MIS-C referred to the cardiology services.

Results: Of the 111 children with mean (SD) age was 3.

Investigating White Matter Abnormalities Associated with Schizophrenia Using Deep Learning Model and Voxel-Based Morphometry.

Schizophrenia (SCZ) is a devastating mental condition with significant negative consequences for patients, making correct and prompt diagnosis crucial. The purpose of this study is to use structural magnetic resonance image (MRI) to better classify individuals with SCZ from control normals (CN) and to locate a region of the brain that represents abnormalities associated with SCZ. Deep learning (DL), which is based on the nervous system, could be a very useful tool for doctors to accurately predict, diagnose, and treat SCZ.

Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis.

As per the latest statistics, Alzheimer's disease (AD) has become a global burden over the following decades. Identifying AD at the intermediate stage became challenging, with mild cognitive impairment (MCI) utilizing credible biomarkers and robust learning approaches. Neuroimaging techniques like magnetic resonance imaging (MRI) and positron emission tomography (PET) are practical research approaches that provide structural atrophies and metabolic variations.

Intra-peritoneal migration of abdominal drain after cholecystectomy - Laparoscopic retrieval: A case report.

Intra-peritoneal migration of abdominal drain is a rare complication. Cutting of abdominal drain and putting a colostomy bag over it is done to reduce the pain and infection and to increase the mobility of a patient, but it is also a risk factor for drain intra-peritoneal migration. This case report depicts a case of intra-peritoneal migration of abdominal drain after laparoscopic cholecystectomy and its retrieval.

Ada-GridRF: A Fast and Automated Adaptive Boost Based Grid Search Optimized Random Forest Ensemble model for Lung Cancer Detection.

Lung cancer is considered one of the leading causes of death all across the world. Various radiology-related fields increasingly have used Computer-aided diagnosis (CAD) systems. It just has already become a part of clinical work for lung cancer detection.

Acinar Cell Carcinoma of the Uncinate Process of the Pancreas in a Child Managed Sans Whipple's Procedure-a Rare Case Scenario.

Acinar cell carcinoma (ACC) is a rare malignant tumor of the pancreas. A 10-year-old girl presented with a large tumor arising from the pancreatic head. Excision sans Whipple's procedure was performed.

An Explicative Review on the Progress of Quinazoline Scaffold as Bioactive Agents in the Past Decade.

In the last decade, quinazoline has been one of the most explored scaffolds by researchers around the globe in medicinal chemistry. Its unique structural features provide a wide range of substitutions for nitrogen and carbonyl groups. In the current situation of COVID-19, hydroxychloroquine, an antimalarial drug of the quinoline category, was used for the treatment of severe infections.

Contingent stimulus delivery assay for zebrafish reveals a role for CCSER1 in alcohol preference.

Alcohol use disorders are complex, multifactorial phenomena with a large footprint within the global burden of diseases. Here, we report the development of an accessible, two-choice self-administration zebrafish assay (SAZA) to study the neurobiology of addiction. Using this assay, we first demonstrated that, although zebrafish avoid higher concentrations of alcohol, they are attracted to low concentrations.

Fast and Robust Exudate Detection in Retinal Fundus Images Using Extreme Learning Machine Autoencoders and Modified KAZE Features.

Diabetic retinopathy(DR) is a health condition that affects the retinal blood vessels(BV) and arises in over half of people living with diabetes. Exudates(EX) are significant indications of DR. Early detection and treatment can prevent vision loss in many cases.

De Novo Vesicoureteral Reflux Following Ureterocele Decompression in Children: A Systematic Review and Meta-Analysis Comparing Laser Puncture versus Electrosurgical Incision Techniques.

Background: The available endoscopic techniques for ureterocele decompression include laser puncture (LP), electrosurgical incision (ES), and cold-knife incision. This systematic review was performed to compare the efficacy of LP versus ES techniques with special emphasis on de novo VUR.

Methods: Four databases were systematically searched by the authors.

Effectiveness of immersive virtual reality training to improve sitting balance control among individuals with acute and sub-acute paraplegia: A randomized clinical trial.

Objectives: Spinal cord injury (SCI) is a disabling condition with physical, psychological, and financial consequences. The study's goal is to compare the effectiveness of immersive virtual reality (VR) training in balance among individuals with incomplete paraplegia to that of functional electrical stimulation (FES).

Design: Two groups, randomized clinical trial.