RSAFormer: A method of polyp segmentation with region self-attention transformer.

Colonoscopy has attached great importance to early screening and clinical diagnosis of colon cancer. It remains a challenging task to achieve fine segmentation of polyps. However, existing State-of-the-art models still have limited segmentation ability due to the lack of clear and highly similar boundaries between normal tissue and polyps.

On the Design of Secured and Reliable Dynamic Access Control Scheme of Patient E-Healthcare Records in Cloud Environment.

Traditional healthcare services have changed into modern ones in which doctors can diagnose patients from a distance. All stakeholders, including patients, ward boy, life insurance agents, physicians, and others, have easy access to patients' medical records due to cloud computing. The cloud's services are very cost-effective and scalable, and provide various mobile access options for a patient's electronic health records (EHRs).

Deep Learning-Aided Automated Pneumonia Detection and Classification Using CXR Scans.

The COVID-19 pandemic has caused a worldwide catastrophe and widespread devastation that reeled almost all countries. The pandemic has mounted pressure on the existing healthcare system and caused panic and desperation. The gold testing standard for COVID-19 detection, reverse transcription-polymerase chain reaction (RT-PCR), has shown its limitations with 70% accuracy, contributing to the incorrect diagnosis that exaggerated the complexities and increased the fatalities.

Lung Cancer Detection Based on Kernel PCA-Convolution Neural Network Feature Extraction and Classification by Fast Deep Belief Neural Network in Disease Management Using Multimedia Data Sources.

In lung cancer, tumor histology is a significant predictor of treatment response and prognosis. Although tissue samples for pathologist view are the most pertinent approach for histology classification, current advances in DL for medical image analysis point to the importance of radiologic data in further characterization of disease characteristics as well as risk stratification. Cancer is a complex global health problem that has seen an increase in death rates in recent years.

Smart Memory Storage Solution and Elderly Oriented Smart Equipment Design under Deep Learning.

This study explores the memory characteristics of elderly individuals to design effective smart devices based on smart memory storage solutions under deep learning to improve the learning efficiency of elderly individuals. The different memory formation stages in the existing human brain are analysed. A smart memory storage solution based on memory-enhanced embedded learning is constructed based on meta-learning under deep learning, which reduces the cost of learning new tasks to the greatest extent.

: a hybrid deep neural model with mixed fusion for rumour detection in social data streams.

The unrelenting trend of doctored narratives, content spamming, fake news and rumour dissemination on social media can lead to grave consequences that range from online intimidating and trolling to lynching and riots in real- life. It has therefore become vital to use computational techniques that can detect rumours, do fact-checking and inhibit its amplification. In this paper, we put forward a model for rumour detection in streaming data on social platforms.

Hybrid Deep Neural Network for Handling Data Imbalance in Precursor MicroRNA.

Over the last decade, the field of bioinformatics has been increasing rapidly. Robust bioinformatics tools are going to play a vital role in future progress. Scientists working in the field of bioinformatics conduct a large number of researches to extract knowledge from the biological data available.

The Safety, Efficacy and Therapeutic Potential of Histone Deacetylase Inhibitors with Special Reference to Panobinostat in Gastrointestinal Tumors: A Review of Preclinical and Clinical Studies.

Histone deacetylase inhibitors (HDACi) have been demonstrated as an emerging class of anticancer drugs involved in regulation of gene expression and chromatin remodeling thus indicating valid targets for different types of cancer therapeutics. The pan-deacetylase inhibitor panobinostat (Farydac®, LBH589) is developed by Novartis Pharmaceuticals and a newly US FDA approved drug for the multiple myeloma. It is under clinical investigation for a range of hematological and solid tumors worldwide in both oral and intravenous formulations.

A Novel Approach using Hydrotropic Solubalization Technique for Quantitative Estimation of Entacapone in Bulk Drug and Dosage Form.

Purpose: Analysis of drug utilized the organic solvent which are costlier, toxic and causing environment pollution. Hydrotropic solution may be a proper choice to preclude the use of organic solvents so that a simple, accurate, novel, safe and precise method has been developed for estimation of poorly water soluble drug Entacapone (Water Solubility-7.97e-(02) g/l).

Novel UV-spectrophotometric method for quantitative estimation of furazolidone using mixed hydrotropic agent.

A novel, eco friendly, accurate, sensitive, economic and safe spectrophotometric method was developed by application of mixed hydrotropy using 2 M sodium acetate, 8 M urea, 2 M niacinamide and 2 M sodium benzoate solution (25:25:25:25% V/V) as hydrotropic agent, for the solubalizing of poorly water-soluble Furazolidone (FZ) (solubility:- 3.64e-01 mg/mL in water). There were more than 32 times enhancements in the solubility of FZ were found in mixed hydrotropic solution as compared to solubilities in distilled water.

Design of combretastatin A-4 analogs as tubulin targeted vascular disrupting agent with special emphasis on their cis-restricted isomers.

Tubulin protein is a highly imperative and feasible goal for anticancer drug discovery. Hundreds of naturally occurring, semi synthetic and synthetic antitubulin agents have been reported till now. Among these, Combretastatin A - 4 (CA - 4) is effective antimitotic agent possessing potent cytotoxicity against a panel of cancer cells, including multi-drug resistant cancer cell lines.

The RP-HPLC method for simultaneous estimation of esomeprazole and naproxen in binary combination.

Objective: A simple, precise, reliable, rapid, sensitive and validated RP-HPLC method has been developed to determine esomeprazole magnesium trihydrate (ESO) and naproxen (NAP) in synthetic mixture form.

Materials And Methods: Chromatographic separation achieved isocratically on Phenomenex, Luna C18 column (5 μm, 150mm × 4.60mm) and acetonitrile: phosphate buffer (pH 7.

Development and validation of reversed phase-high-performance liquid chromatography method for determination of paracetamol and lornoxicam in tablet dosage form.

A simple, precise, reliable, rapid and reproducible reversed phase-high-performance liquid chromatography method was developed and validated for the simultaneous estimation of Paracetamol (PCM) and Lornoxicam (LOX) present in tablet dosage forms. Chromatographic separation achieved isocratically on Luna C18 column (5 μm, 150 × 4.60 mm) and methanol/phosphate buffer (60:40, v/v, pH 7.

Evaluation of anti-fertility activity of Tabernaemontana divaricata (Linn) R.Br. leaves in rats.

The aim of the present study was to assess the anti-fertility activity of ethanolic extracts of Tabernaemontana divaricata (TD) leaves in oestrogenic activity models in immature female rats. Mature green leaves of TD were collected and authenticated. Extractions of the dried leaves were carried out with ethanol in a Soxhlet's apparatus.

Evaluation of wound-healing activity of Acorus calamus Linn.

The aim of the present study was to assess the wound-healing activity of ethanolic extracts of Acorus calamus leaves. A wound was induced by an excision- and incision-based wound model in rats of either sex. The mature green leaves of A.