Cardiovascular disease (CVD) is a prominent determinant of mortality, accounting for 17 million lives lost across the globe each year. This underscores its severity as critical health issue. Extensive research has been undertaken to refine forecasting CVD in patients using various supervised, unsupervised, and deep learning approaches. study presents HeartEnsembleNet, novel hybrid ensemble model that integrates multiple machine (ML) classifiers risk assessment. The evaluated against six...

5-methylcytosine (m5C) is indeed a critical post-transcriptional alteration that widely present in various kinds of RNAs and crucial to the fundamental biological processes. By correctly identifying m5C-methylation sites on RNA, clinicians can more clearly comprehend precise function these m5C-sites different Due their effectiveness affordability, computational methods have received greater attention over last few years for identification methylation species. To precisely identify RNA m5C...

In recent years, immune checkpoint inhibitor (ICI) have changed the landscape of cancer treatment by harnessing their efficacy in combating malignancies. These therapies shown remarkable result and across multiple types. However, this review specifically focuses on non-small cell lung (NSCLC) gastric (GC) due to high incidence rates Korea Japan, ranking first second both sexes, as well availability real-world data assessing ICI these populations. NSCLC, demonstrated better objective response...

Diabetes is a disease emerging to be big threat humanity, which even after such scientific and medical advance-ment still incurable. Its only remedy early detection precautionary measure reduce its effects minimum. Since it affects all parts of body organs hence there are ways detect presence before critically damages the body. Eyes retina also affected by diabetes, causing blood vessels in rupture due some complication eventually permanent blindness. Luckily, we can take images using...

Classification of skin lesions plays a crucial role in diagnosing various, local and gene related, medical conditions the field dermoscopy. Estimation these biomarkers are used to provide some insight, while detecting cancerous cells classifying lesion as either benign or malignant. This paper presents groundwork for detection with inclination by segmentation subsequent application Convolution Neural Network on dermoscopy images. Images included ISIC-2016 were dataset. segmented based...

DNA N6-methyladenine (6mA) has subsequently been identified as an important epigenetic modification which plays role in various cellular processes. The precise discrimination of genomes is required to recognize its biological functions. Although, we have several experimental techniques for the identification 6mA-sites, silico prediction evolved alternative approach due high-cost and labor-intense techniques. Taking into account, implementation efficient accurate model high priority. Several...

The most communal post-transcriptional modification, N6-methyladenosine (m6A), is associated with a number of crucial biological processes. precise detection m6A sites around the genome critical for revealing its regulatory function and providing new insights into drug design. Although both experimental computational models detecting have been introduced, but these conventional methods are laborious expensive. Furthermore, only handful capable in various tissues. Therefore, more generic...

Skin lesion is one of those diseases which on its rapid growth and life threatening. Some cancers may have early signs symptoms that can be noticed but not always the case. Melanoma often found early, when it most likely to cured, However, detection in initial stages holds a greater survival rate so there high need diagnosis. Therefore computer aided design needed with efficiency diagnose skin utilizing minimum time. The technique proposed this paper effective as being compared latest...

Among DNA modifications, N4-methylcytosine (4mC) is one of the most significant ones, and it linked to development cell proliferation gene expression. To know different its biological functions, accurate detection 4mC sites required. Although we have several techniques for prediction in genomes based on both machine learning (ML) convolutional neural networks (CNNs), there no CNN-based tool identification mouse genome. In this article, a model named 4mCPred-CNN was developed classify...

N6-methyladenine (6mA) has been recognized as a key epigenetic alteration that affects variety of biological activities. Precise prediction 6mA modification sites is essential for understanding the logical consistency activity. There are various experimental methods identifying sites, but in silico emerged potential option due to very high cost and labor-intensive nature procedures. Taking this into consideration, developing an efficient accurate model one top objectives field...

Abstract Motivation The origins of replication sites (ORIs) are precise regions inside the DNA sequence where process begins. These locations critical for preserving genome’s integrity during cell division and guaranteeing faithful transfer genetic data from generation to generation. advent experimental techniques has aided in discovery ORIs many species. Experimentation, on other hand, is often more time-consuming pricey than computational approaches, it necessitates specific equipment...

Epigenetic modifications have a vital role in gene expression and are linked to cellular processes such as differentiation, development, tumorigenesis. Thus, the availability of reliable accurate methods for identifying defining these changes facilitates greater insights into regulatory mechanisms that rely on epigenetic modifications. The current experimental provide genome-wide identification modifications; however, they expensive time-consuming. To date, several machine learning been...

A multi-layer feed-forward ANN-based approach is discussed in this paper to achieve maximum power point tracking (MPPT). 70% of the data-set trained with ANN algorithm, 15% used for validation and utilized testing neural network. The photo generated output after MPPT interfaced photovoltaic (PV) converters subsequently solar-driven lead-acid battery charge controllers. research effort aims have a comparative performance analysis against well-known Perturb Observe algorithm (P&O) incremental...

Diabetes is an incurable disease which erodes away body slowly, this in becoming common and a cause of social distress. The only solution to problem early detection take precautionary measure keep its effects minimum. Since it affects various parts body, the affected organ also includes eye very sensitive any kind Diabetic Retinopathy diabetes on retina, rupturing retina blood vessels abnormal growth ultimately causes blindness. can be identified by examining retinoscopy images. In paper,...

Pakistan's power system is currently facing serious energy crisis issues as the supply of electric not increasing at pace its demand. Although conventional experiencing a notable transition from centralized supply-side management to decentralized generation and demand-side load certainly due integration hybrid systems local grids yet shortfall in demand gap resulted into large scale load-shading problem all cities Pakistan last few years. This paper discusses real-time integrated with source...

N6-methyladenine (6mA), is amongst the most prevalent post-transcriptional epigenetic changes and crucial for several cellular functions disease development. Therefore, a thorough knowledge of processes other potential functional pathways depends on proper identification 6mA modifications. Although we have number experimental methods identifying 6mA-modification sites, computational prediction has emerged as substitute method result expensive labor-intensive nature methods. Considering this,...

In the modern age of IOT and Robotics, different intelligent entities like robots, drones, nodes or smart vehicles need fast error-free communication data, which is predominantly in form images. The medium used for this data mainly wireless it can be short distance, long haul even satellite links crossing ionosphere layers. Different mediums incorporate types noises images being transmitted by Drones, Robots Nodes. For better analysis then performing subsequent action on basis these received...

This paper presents the research conducted to provide low cost traffic monitoring solution ever increasing congestion problems in Pakistan.The embedded system created is a low-power that can replace expensive and complicated systems add up high installation controlling costs.The feasibility demonstrated with ability determine at real time.Such could be used operate signals for better flow on roads aid law enforcement agencies.The IP camera constructed using an Arduino board, module Wi-Fi...