Multifunctional role of nanoparticles for the diagnosis and therapeutics of cardiovascular diseases
I Arshad, A Kanwal, I Zafar, A Unar, M Hanane… - Environmental …, 2023 - Elsevier
The increasing burden of cardiovascular disease (CVD) remains responsible for morbidity
and mortality worldwide; their effective diagnostic or treatment methods are of great interest …
and mortality worldwide; their effective diagnostic or treatment methods are of great interest …
Engineered two-dimensional nanomaterials based diagnostics integrated with internet of medical things (IoMT) for COVID-19
More than four years have passed since an inimitable coronavirus disease (COVID-19)
pandemic hit the globe in 2019 after an uncontrolled transmission of the severe acute …
pandemic hit the globe in 2019 after an uncontrolled transmission of the severe acute …
Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: a scoping review
Introduction Since the beginning of the COVID-19 pandemic, numerous machine and deep
learning (MDL) methods have been proposed in the literature to analyze patient …
learning (MDL) methods have been proposed in the literature to analyze patient …
In silico designing of multiepitope-based-peptide (MBP) vaccine against MAPK protein express for Alzheimer's disease in Zebrafish
Y Arfat, I Zafar, SA Sehgal, M Ayaz, M Sajid, JM Khan… - Heliyon, 2023 - cell.com
Understanding the role of the mitogen-activated protein kinases (MAPKs) signalling pathway
is essential in advancing treatments for neurodegenerative disorders like Alzheimer's. In this …
is essential in advancing treatments for neurodegenerative disorders like Alzheimer's. In this …
Multi-level training and testing of CNN models in diagnosing multi-center COVID-19 and pneumonia X-ray images
Featured Application Despite their reported high accuracy, a significant limitation of current
AI-assisted COVID-19 diagnostic models is that they are often trained on datasets sourced …
AI-assisted COVID-19 diagnostic models is that they are often trained on datasets sourced …
Bioinformatics approaches in upgrading microalgal oil for advanced biofuel production through hybrid ORF protein construction
Microalgae are promising for biofuel production due to their high oil content and fast
biomass growth, but increasing their oil content is essential for economic viability. In this …
biomass growth, but increasing their oil content is essential for economic viability. In this …
In silico and in vitro study of bioactive compounds of Nigella sativa for targeting neuropilins in breast cancer
I Zafar, A Safder, H Imran Afridi, S Riaz… - Frontiers in …, 2023 - frontiersin.org
Introduction: Breast cancer poses a significant global challenge, prompting researchers to
explore novel approaches for potential treatments. Material and Methods: For in vitro study …
explore novel approaches for potential treatments. Material and Methods: For in vitro study …
Nano Revolution in Cardiovascular Health: Nanoparticles (NPs) as Tiny Titans for Diagnosis and Therapeutics
Cardiovascular diseases (CVDs) are known as life-threatening illnessescaused by severe
abnormalities in the cardiovascular system. They are a leading cause of mortality and …
abnormalities in the cardiovascular system. They are a leading cause of mortality and …
Computational biology and in vitro studies for anticipating cancer-related molecular targets of sweet wormwood (Artemisia annua)
Background Cancer is one of the leading causes of death worldwide. Recently, it was shown
that many natural extracts have positive effects against cancer, compared with …
that many natural extracts have positive effects against cancer, compared with …
COVID-19 studies involving machine learning methods: a bibliometric study
Background: Machine learning (ML) and artificial intelligence (AI) techniques are gaining
popularity as effective tools for coronavirus disease of 2019 (COVID-19) research. These …
popularity as effective tools for coronavirus disease of 2019 (COVID-19) research. These …