Breast cancer (BC) is a type of tumor that develops in the breast cells and one most common cancers women. Women are also at risk from BC, second life-threatening disease after lung cancer. The early diagnosis classification BC very important. Furthermore, manual detection time-consuming, laborious work, and, possibility pathologist errors, incorrect classification. To address above highlighted issues, this paper presents hybrid deep learning (CNN-GRU) model for automatic BC-IDC (+,−) using...

As a result of technology improvements, various features have been collected for heart disease diagnosis. Large data sets several drawbacks, including limited storage capacity and long access processing times. For medical therapy, early diagnosis problems is crucial. Disease devastating human that quickly increasing in developed also developing countries, resulting death. In this type disease, the normally fails to provide enough blood different body parts order allow them perform their...

Diabetes mellitus (DM), commonly known as diabetes, is a collection of metabolic illnesses characterized by persistently high blood sugar levels. The signs elevated include increased hunger, frequent urination, and thirst. If DM not treated properly, it may lead to several complications. caused either insufficient insulin production the pancreas or an response body's cells. Every year, 1.6 million individuals die from this disease. objective research work use relevant features construct...

Autism spectrum disorder is a severe, life‐prolonged neurodevelopmental disease typified by disabilities that are chronic or limited in the development of socio‐communication skills, thinking abilities, activities, and behavior. In children aged two to three years, symptoms autism more evident easier recognize. The major part existing literature on covered prediction system based traditional machine learning algorithms such as support vector machine, random forest, multiple layer perceptron,...

Deep neural networks have made tremendous strides in the categorization of facial photos last several years. Due to complexity features, enormous size picture/frame, and severe inhomogeneity image data, efficient face classification using deep convolutional remains a challenge. Therefore, as data volumes continue grow, effective mobile context utilizing advanced learning techniques is becoming increasingly important. In recent past, some Learning (DL) approaches for identify images been...

Agonists at the δ opioid receptor are known to be potent antihyperalgesics in chronic pain models and effective of anxiety depression. However, some agonists have proconvulsant properties while tolerance therapeutic effects can develop. Previous evidence indicates that different acting differentially engage signaling regulatory pathways with significant on behavioral outcomes. As such, interest is now growing development biased as a potential means target specific potentially improve profile...

The most predominant kind of disease that is normal among ladies breast cancer. It one the significant reasons ladies, regardless huge endeavors to stay away from it through screening developers. An automatic detection system for helps doctors identify and provide accurate results, thereby minimizing death rate. Computer‐aided diagnosis (CAD) has minimum intervention humans produces more results than humans. will be a difficult long task depends on expertise pathologists. Deep learning...

In this study, a first attempt has been made to deliver levosulpiride transdermally through thiolated chitosan microneedle patch (TC-MNP). Levosulpiride is slowly and weakly absorbed from the gastrointestinal tract with an oral bioavailability of less than 25% short half-life about 6 h. order enhance its bioavailability, levosulpiride-loaded patches (LS-TC-MNPs) were fabricated. Firstly, was synthesized characterized by nuclear magnetic resonance (1HNMR) spectroscopy, attenuated total...

Nowadays, there is a digital era, where social media sites like Facebook, Google, Twitter, and YouTube are used by the majority of people, generating lot textual content. The user-generated content discloses important information about people’s personalities, identifying special type people known as psychopaths. aim this work to classify input text into psychopath nonpsychopath traits. Most existing on psychopath’s detection has been performed in psychology domain using traditional...

Background and Objective According to the WHO, diabetes mellitus is a long-term condition marked by high blood sugar levels. The consequences might be far-reaching. current increases in mortality, has risen number 10 among leading causes of mortality worldwide. When used predict using unbalanced datasets from testing, machine learning (ML) classifiers established approaches for encoding categorical data have exhibited broad variety surprising outcomes. Early studies also made use an...

Introduction Due to the complexity of symptoms in major depressive disorder (MDD), majority depression scales fall short accurately assessing a patient's progress. When selecting most appropriate antidepressant treatment MDD, multidimensional scale such as Hamilton Depression Rating (HAM-D) may provide clinicians with more information especially when coupled unidimensional analysis some key factors depressed mood, altered sleep, psychic and somatic anxiety suicidal ideation etc. Methods...

Background and Objective Viral hepatitis is a major public health concern on global scale. It predominantly affects the world's least developed countries. The most endemic regions are resource constrained, with low human development index. Chronic can lead to cirrhosis, liver failure, cancer eventually death. Early diagnosis treatment of infection help reduce disease burden transmission those at risk or reinfection. Screening critical for meeting WHO's 2030 targets. Consequently, automated...

The effective segmentation of lesion(s) from dermoscopic skin images assists the Computer-Aided Diagnosis (CAD) systems in improving diagnosing rate cancer. results existing lesion techniques are not up to mark for with artifacts like varying size corner borders color similar and/or hairs having low contrast surrounding background. To improve such kinds images, an method is proposed this research work. searches presence given dermoscopc image and removes them if found otherwise it starts...

Background: Somatostatin released from the capsaicin-sensitive sensory nerves mediates analgesic and anti-inflammatory effects via its receptor subtype 4 (SST ) without influencing endocrine functions. Therefore, SST is considered to be a novel target for drug development in pain, especially chronic neuropathy which great unmet medical need. Purpose Experimental Approach: Here, we examined silico binding, -linked G protein activation β-arrestin on stable expressing cells of our...

This study aims to increase the aqueous solubility of ciprofloxacin (CPN) improve oral bioavailability. was carried out by formulating a stable formulation Self-Emulsifying Drug Delivery System (SEDDS) using various ratios lipid/oil, surfactant, and co-surfactant. A pseudo-ternary phase diagram designed find an area emulsification. Eight formulations (F1-CPN-F8-CPN) containing oleic acid oil, silicone olive castor sunflower myglol polysorbate-80, polysorbate-20, PEO-200, PEO-400, PEO-600, PG...

Background: Extracellular signal-regulated kinases (ERKs) are important signaling mediators in mammalian cells and, as a result, one of the major areas research focus. The detection and quantification ERK phosphorylation an index activation is normally conducted using immunoblotting, which does not allow high-throughput drug screening. Plate-based immunocytochemical assays provide cheaper relatively alternative method for quantifying phosphorylation. Here, we present optimization steps aimed...

The main objective of this paper is to characterize rough approximations fuzzy ideals in ternary semigroups. Rough are used deal with vague and incomplete information decision-making problems. In research, for prime semigroups studied. It proved that generalized lower upper <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mfenced open="(" close=")"> <mrow> <mo>∈</mo> <mo>,</mo> <mo>∨</mo> <mi>q</mi> </mrow> </mfenced> </math> -fuzzy (resp., semiprime) id="M2"> ideals. For this, the...

The impact of individual component, i.e., plant extract (Plagiochasma rupestre), biosynthesized silver nanoparticles (AgNPs), and healing clay (bentonite) as antimicrobial agent is reported but their combined effect a ternary system new approach. This study aimed at investigating the proposed against selected human pathogens. AgNPs were synthesized by using Plagiochasma rupestre (aqueous) reducing neutral polymer (PVP) stabilizer. morphology, size, structural properties determined with XRD...

This study focuses on investigating the natural soil stablizers for Compressed Stabilized Earthen Bricks (CSEB) with cement, lime, and bentonite clay. The research aims to evaluate impact of clay strength CSEB traditional bricks, analyze effect methodology involves collecting samples preparing them by mixing in different proportions. were then compacted using a specialized machine create CSEB. diagonal test results demonstrated that exhibits good resistance cracking. emphasize suitability...

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