Search results for: Faisal Saeed

Items from 1 to 20 out of 24 results

article

SARS‐CoV‐2 infection and venous thromboembolism after surgery: an international prospective cohort study

COVIDSurg Collaborative, GlobalSurg Collaborative, Dmitri Nepogodiev, Joana FF Simoes, more

SARS‐CoV‐2 has been associated with an increased rate of venous thromboembolism in critically ill patients. Since surgical patients are already at higher risk of venous thromboembolism than general populations, this study aimed to determine if patients with peri‐operative or prior SARS‐CoV‐2 were at further increased risk of venous thromboembolism. We conducted a planned sub‐study and analysis from...

article

Intelligent implementation of residential demand response using multiagent system and deep neural networks

Faisal Saeed, Anand Paul, Muhammad Jamal Ahmed, Malik Junaid Jami Gul, more

Concurrency and Computation: Practice and Experience > 33 > 22 > n/a - n/a

A successful implementation of demand response (DR) always depends on proper policy and their empower technologies. This article proposed an intelligent multiagent system to idealize the residential DR in distributed network. In our model, the primary stakeholders (smart homes and retailers) are demonstrated as a multifunctional intelligent agent. Home agents (HAs) are able to predict and schedule...

article

Skene gland adenocarcinoma: Clinicopathologic features, comprehensive biomarker analysis, and review of the literature

Faisal Saeed, Adeboye O. Osunkoya

Pathology International > 71 > 10 > 712 - 714

article

Effects of pre‐operative isolation on postoperative pulmonary complications after elective surgery: an international prospective cohort study

COVIDSurg Collaborative, GlobalSurg Collaborative, Dmitri Nepogodiev, Joana FF Simoes, more

Anaesthesia > 76 > 11 > 1454 - 1464

We aimed to determine the impact of pre‐operative isolation on postoperative pulmonary complications after elective surgery during the global SARS‐CoV‐2 pandemic. We performed an international prospective cohort study including patients undergoing elective surgery in October 2020. Isolation was defined as the period before surgery during which patients did not leave their house or receive visitors...

article

Timing of surgery following SARS‐CoV‐2 infection: an international prospective cohort study

COVIDSurg Collaborative, GlobalSurg Collaborative, Dmitri Nepogodiev, Joana FF Simoes, more

Anaesthesia > 76 > 6 > 748 - 758

Peri‐operative SARS‐CoV‐2 infection increases postoperative mortality. The aim of this study was to determine the optimal duration of planned delay before surgery in patients who have had SARS‐CoV‐2 infection. This international, multicentre, prospective cohort study included patients undergoing elective or emergency surgery during October 2020. Surgical patients with pre‐operative SARS‐CoV‐2 infection...

article

Primary effusion lymphoma of the pleural space: Report of a rare complication of cardiac transplant with review of the literature

Irfan Ali R. Kugasia, Arun Kumar, Akshay Khatri, Faisal Saeed, more

Transplant Infectious Disease > 21 > 1 > n/a - n/a

Primary effusion lymphoma (PEL) is a rare mature B‐cell non‐Hodgkin’s lymphoma arising in body cavities and presenting with effusions. It has been described predominantly in patients with impaired immunity from the acquired immunodeficiency syndrome and is associated with the Human Herpesvirus‐8 (HHV‐8). Seldom has PEL been diagnosed in persons negative for the human immunodeficiency virus (HIV),...

chapter

Voting-based ensemble method for prediction of bioactive molecules

Olutomilayo Olayemi Petinrin, Faisal Saeed, Tawfik Al-Hadhrami

2017 2nd International Conference on Knowledge Engineering and Applications (ICKEA) > 118 - 122

2017 2nd International Conference on Knowledge Engineering and Applications (ICKEA)

Machine learning has its tentacles spread over all major areas of science. The current rise in the amount of data being generated as necessitated its adoption in virtually all aspects including chemoinformatics. Several machine learning methods have been applied to the drug discovery process due to the importance of prediction of bioactivity before the release of drug into the market. The need for...

chapter

NEARMesh: Network environment aware routing in a Wireless Mesh Network for emergency-response

Tawfik Al-Hadhrami, Faisal Saeed

2017 International Conference on Research and Innovation in Information Systems (ICRIIS) > 1 - 6

2017 5th International Conference on Research and Innovation in Information Systems (ICRIIS)

Wireless Mesh Networks (WMNs) employ hybrid distributed mobile networks with instant deployment and capabilities Such as: self_healing, self_organization and self_configuration. These abilities make WMNs a likely technology for incident communication. An Incident Area Network (IAN) requires a reliable and efficient routing path in an environment, where infrastructure-based communications have been...

article

A rare case of metastatic sarcomatoid variant of urothelial carcinoma arising after failed renal allograft

Sabina Hajiyeva, Venkata Buddharaju, Faisal Saeed, George Kleinman, more

Human Pathology: Case Reports > 2017 > 8 > Complete > 31-34

chapter

Data privacy model for social media platforms

Abdullah Abdulabbas Nahi Al-Rabeeah, Faisal Saeed

2017 6th ICT International Student Project Conference (ICT-ISPC) > 1 - 5

2017 6th ICT International Student Project Conference (ICT-ISPC)

Data Privacy on social media platforms such as Facebook, Twitter, and Google+ has become a vital research field because of the sharp growth in the number of users and the number of social media applications. In recent years, there has been an exponential increase in user generated text content, mainly in the terms of posts, tweets, reviews, and messages on social media. This increase in textual information...

article

Quantum probability ranking principle for ligand-based virtual screening

Mohammed Mumtaz Al-Dabbagh, Naomie Salim, Mubarak Himmat, Ali Ahmed, more

Journal of Computer-Aided Molecular Design > 2017 > 31 > 4 > 365-378

Chemical libraries contain thousands of compounds that need screening, which increases the need for computational methods that can rank or prioritize compounds. The tools of virtual screening are widely exploited to enhance the cost effectiveness of lead drug discovery programs by ranking chemical compounds databases in decreasing probability of biological activity based upon probability ranking principle...

article

Epigenetic mechanisms regulating the development of hepatocellular carcinoma and their promise for therapeutics

Faisal Saeed Khan, Ijaz Ali, Ume Kalsoom Afridi, Muhammad Ishtiaq, more

Hepatology International > 2017 > 11 > 1 > 45-53

Hepatocellular carcinoma (HCC) is one of the most common cancers around the globe and third most fatal malignancy. Chronic liver disorders such as chronic hepatitis and liver cirrhosis often lead to the development of HCC. Accumulation of genetic and epigenetic alterations are involved in the development of HCC. Genetic research sparked by recent developments in next generation sequencing has identified...

article

Development of molecular method for sex identification in date palm (Phoenix dactylifera L.) plantlets using novel sex-linked microsatellite markers

Maryam, Muhammad Jafar Jaskani, Faisal Saeed Awan, Saeed Ahmad, more

00003 Biotech > 2016 > 6 > 1 > 1-7

Microsatellite markers containing simple sequence repeats (SSRs) are a valuable tool for genetic analysis. Date palm is a dioecious and slow flowering and is very difficult to identify the gender of the trees until it reaches the reproductive age (5–10 years). A total of 12 microsatellite primers were used with 30 date palm samples, 14 parents (8 male + 6 females) and 16 progeny (developed from parents...

article

Transgene integration complexity and expression stability following biolistic or Agrobacterium-mediated transformation of sugarcane

Hao Wu, Faisal Saeed Awan, Aloisio Vilarinho, Qianchun Zeng, more

In Vitro Cellular & Developmental Biology - Plant > 2015 > 51 > 6 > 603-611

Sugarcane (Saccharum spp. hybrids) accounts for 80% of the table sugar produced worldwide and is also a prime feedstock for biofuel production. However, very few studies are available for directly comparing Agrobacterium tumefaciens-mediated transfer of T-DNA (AMT) and biolistic transfer of minimal expression cassettes (BLT MC) regarding transgene complexity and expression stability. In this study,...

article

Condorcet and borda count fusion method for ligand-based virtual screening

Ali Ahmed, Faisal Saeed, Naomie Salim, Ammar Abdo

Journal of Cheminformatics > 2014 > 6 > 1 > 1-10

Background It is known that any individual similarity measure will not always give the best recall of active molecule structure for all types of activity classes. Recently, the effectiveness of ligand-based virtual screening approaches can be enhanced by using data fusion. Data fusion can be implemented using two different approaches: group fusion and similarity fusion. Similarity fusion involves...

article

Weighted voting-based consensus clustering for chemical structure databases

Faisal Saeed, Ali Ahmed, Mohd Shahir Shamsir, Naomie Salim

Journal of Computer-Aided Molecular Design > 2014 > 28 > 6 > 675-684

The cluster-based compound selection is used in the lead identification process of drug discovery and design. Many clustering methods have been used for chemical databases, but there is no clustering method that can obtain the best results under all circumstances. However, little attention has been focused on the use of combination methods for chemical structure clustering, which is known as consensus...

article

Information Theory and Voting Based Consensus Clustering for Combining Multiple Clusterings of Chemical Structures

Faisal Saeed, Naomie Salim, Ammar Abdo

Molecular Informatics > 32 > 7 > 591 - 598

Many consensus clustering methods have been applied in different areas such as pattern recognition, machine learning, information theory and bioinformatics. However, few methods have been used for chemical compounds clustering. In this paper, an information theory and voting based algorithm (Adaptive Cumulative Voting‐based Aggregation Algorithm A‐CVAA) was examined for combining multiple clusterings...

article

Graph‐Based Consensus Clustering for Combining Multiple Clusterings of Chemical Structures

Faisal Saeed, Naomie Salim, Ammar Abdo, Hamza Hentabli

Molecular Informatics > 32 > 2 > 165 - 178

Consensus clustering methods have been successfully used for combining multiple classifiers in many areas such as machine learning, applied statistics, pattern recognition and bioinformatics. In this paper, consensus clustering is used for combining the clusterings of chemical structures to enhance the ability of separating biologically active molecules from inactive ones in each cluster. Two graph‐based...

article

Synthesis of quinoline derivatives: Discovery of a potent and selective phosphodiesterase 5 inhibitor for the treatment of Alzheimer's disease

Jole Fiorito, Faisal Saeed, Hong Zhang, Agnieszka Staniszewski, more

European Journal of Medicinal Chemistry > 2013 > 60 > C > 285-294

Phosphodiesterase type 5 (PDE5) mediates the degradation of cGMP in a variety of tissues including brain. Recent studies have demonstrated the importance of the nitric oxide/cGMP/cAMP-responsive element-binding protein (CREB) pathway to the process of learning and memory. Thus, PDE5 inhibitors (PDE5Is) are thought to be promising new therapeutic agents for the treatment of Alzheimer's disease (AD),...

article

Ligand expansion in ligand-based virtual screening using relevance feedback

Ammar Abdo, Faisal Saeed, Hentabli Hamza, Ali Ahmed, more

Journal of Computer-Aided Molecular Design > 2012 > 26 > 3 > 279-287

Query expansion is the process of reformulating an original query to improve retrieval performance in information retrieval systems. Relevance feedback is one of the most useful query modification techniques in information retrieval systems. In this paper, we introduce query expansion into ligand-based virtual screening (LBVS) using the relevance feedback technique. In this approach, a few high-ranking...

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INFONA - science communication portal

Search results for: Faisal Saeed

SARS‐CoV‐2 infection and venous thromboembolism after surgery: an international prospective cohort study

Intelligent implementation of residential demand response using multiagent system and deep neural networks

Skene gland adenocarcinoma: Clinicopathologic features, comprehensive biomarker analysis, and review of the literature

Effects of pre‐operative isolation on postoperative pulmonary complications after elective surgery: an international prospective cohort study

Timing of surgery following SARS‐CoV‐2 infection: an international prospective cohort study

Primary effusion lymphoma of the pleural space: Report of a rare complication of cardiac transplant with review of the literature

Voting-based ensemble method for prediction of bioactive molecules

NEARMesh: Network environment aware routing in a Wireless Mesh Network for emergency-response

A rare case of metastatic sarcomatoid variant of urothelial carcinoma arising after failed renal allograft

Data privacy model for social media platforms

Quantum probability ranking principle for ligand-based virtual screening

Epigenetic mechanisms regulating the development of hepatocellular carcinoma and their promise for therapeutics

Development of molecular method for sex identification in date palm (Phoenix dactylifera L.) plantlets using novel sex-linked microsatellite markers

Transgene integration complexity and expression stability following biolistic or Agrobacterium-mediated transformation of sugarcane

Condorcet and borda count fusion method for ligand-based virtual screening

Weighted voting-based consensus clustering for chemical structure databases

Information Theory and Voting Based Consensus Clustering for Combining Multiple Clusterings of Chemical Structures

Graph‐Based Consensus Clustering for Combining Multiple Clusterings of Chemical Structures

Synthesis of quinoline derivatives: Discovery of a potent and selective phosphodiesterase 5 inhibitor for the treatment of Alzheimer's disease

Ligand expansion in ligand-based virtual screening using relevance feedback

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