A5030196845- Machine Learning in Bioinformatics
- vaccines and immunoinformatics approaches
- Antimicrobial Peptides and Activities
- Concrete Corrosion and Durability
- Infrastructure Maintenance and Monitoring
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Retinal Imaging and Analysis
- Gene Regulatory Network Analysis
- Non-Destructive Testing Techniques
- Biochemical and Structural Characterization
- Microbial Metabolic Engineering and Bioproduction
- Molecular Junctions and Nanostructures
- Genomics and Chromatin Dynamics
- Industrial Vision Systems and Defect Detection
- Organic Electronics and Photovoltaics
- IoT and Edge/Fog Computing
- Ruminant Nutrition and Digestive Physiology
- Sentiment Analysis and Opinion Mining
- Fullerene Chemistry and Applications
- Protein Structure and Dynamics
- Chemical Thermodynamics and Molecular Structure
- Hand Gesture Recognition Systems
- Additive Manufacturing Materials and Processes
- Cardiac Valve Diseases and Treatments
Balochistan University of Information Technology, Engineering and Management Sciences
2015-2025
Bahria University
2025
Qurtuba University of Science and Information Technology
2023-2024
Northeast Forestry University
2024
University of Malaya
2021-2023
COMSATS University Islamabad
2023
University of Faisalabad
2022
University of Agriculture Faisalabad
2019-2022
Government College University, Faisalabad
2022
Central Michigan University
2021-2022
BioModels (http://www.ebi.ac.uk/biomodels/) is a repository of mathematical models biological processes. A large set curated to verify both correspondence the process that model seeks represent, and reproducibility simulation results as described in corresponding peer-reviewed publication. Many submitted database are annotated, cross-referencing its components external resources such records, terms from controlled vocabularies ontologies. comprises two main branches: one composed derived...
Inflammation is a biologically resistant response to harmful stimuli, such as infection, damaged cells, toxic chemicals, or tissue injuries. Its purpose eradicate pathogenic micro-organisms irritants and facilitate repair. Prolonged inflammation can result in chronic inflammatory diseases. However, wet-laboratory-based treatments are costly time-consuming may have adverse side effects on normal cells. In the past decade, peptide therapeutics gained significant attention due their high...
Abstract Background Viral infections have been the main health issue in last decade. Antiviral peptides (AVPs) are a subclass of antimicrobial (AMPs) with substantial potential to protect human body against various viral diseases. However, there has significant production antiviral vaccines and medications. Recently, development AVPs as an agent suggests effective way treat virus-affected cells. involvement intelligent machine learning techniques for developing peptide-based therapeutic...
Abstract Motivation Despite the extensive manufacturing of antiviral drugs and vaccination, viral infections continue to be a major human ailment. Antiviral peptides (AVPs) have emerged as potential candidates in pursuit novel drugs. These show vigorous activity against diverse range viruses by targeting different phases life cycle. Therefore, accurate prediction AVPs is an essential yet challenging task. Lately, many machine learning-based approaches developed for this purpose; however,...
Worldwide, Cancer remains a significant health concern due to its high mortality rates. Despite numerous traditional therapies and wet-laboratory methods for treating cancer-affected cells, these approaches often face limitations, including costs substantial side effects. Recently the selectivity of peptides has garnered attention from scientists their reliable targeted actions minimal adverse Furthermore, keeping outcomes existing computational models, we propose highly effective model...
BioModels serves as a central repository of mathematical models representing biological processes. It offers platform to make easily shareable across the systems modelling community, thereby supporting model reuse. To facilitate hosting broader range formats derived from diverse approaches and tools, new infrastructure for has been developed that is available at http://www.ebi.ac.uk/biomodels. This system allows submitting sharing wide with improved support other than SBML. also...
BioModels is a reference repository hosting mathematical models that describe the dynamic interactions of biological components at various scales. The resource provides access to over 1,200 described in literature and 140,000 automatically generated from pathway resources. Most model are cross‐linked with external resources facilitate interoperability. A large proportion manually curated ensure reproducibility simulation results. This tutorial presents BioModels' content, features,...
Internet of Things (IoT) and Artificial Intelligence (AI) has led the digital transformation in modern healthcare. With any kind transformation, security challenges must be considered early stages design. Healthcare data is sensitive breach compromises privacy patients. More so IoT networks where connected devices are vulnerable to attacks. Cyberattacks can result life-threatening consequences. In this paper, a survey analysis research on use AI as tool for cybersecurity protect used...
Inflammation is a biological response to harmful stimuli, playing crucial role in facilitating tissue repair by eradicating pathogenic microorganisms. However, when inflammation becomes chronic, it leads numerous serious disorders, particularly autoimmune diseases. Anti-inflammatory peptides (AIPs) have emerged as promising therapeutic agents due their high specificity, potency, and low toxicity. identifying AIPs using traditional vivo methods time-consuming expensive. Recent advancements...
One of the primary factors contributing to death across all age groups is cardiovascular disease. In analysis heart function, analyzing left ventricle (LV) from 2D echocardiographic images a common medical procedure for patients. Consistent and accurate segmentation LV exerts significant impact on understanding normal anatomy heart, as well ability distinguish aberrant or diseased structure heart. Therefore, an important critical task in practice, automated pressing need. The deep learning...
The rapidly increasing trend of retinal diseases needs serious attention, worldwide. Glaucoma is a critical ophthalmic disease that can cause permanent vision impairment. Typically, ophthalmologists diagnose glaucoma using manual assessments which an error-prone, subjective, and time-consuming approach. Therefore, the development automated methods crucial to strengthen assist existing diagnostic methods. In fundus imaging, optic cup (OC) disc (OD) segmentation are widely accepted by...