A5062401184- Hydraulic Fracturing and Reservoir Analysis
- CRISPR and Genetic Engineering
- Oil and Gas Production Techniques
- Machine Learning in Healthcare
- Drilling and Well Engineering
- RNA and protein synthesis mechanisms
- Health Literacy and Information Accessibility
- Chaos-based Image/Signal Encryption
- Biomedical Text Mining and Ontologies
- Artificial Intelligence in Healthcare
- Fire effects on concrete materials
- Vaccine Coverage and Hesitancy
- Geology and Paleoclimatology Research
- Structural Response to Dynamic Loads
- Misinformation and Its Impacts
- Geological formations and processes
- Reservoir Engineering and Simulation Methods
- Topic Modeling
- Structural Load-Bearing Analysis
- Paleontology and Stratigraphy of Fossils
- Seismic Imaging and Inversion Techniques
- Fire dynamics and safety research
- Physical Unclonable Functions (PUFs) and Hardware Security
- Digital Media Forensic Detection
- NMR spectroscopy and applications
University of Zurich
2018-2025
Imam Mohammad ibn Saud Islamic University
2024
Beni-Suef University
2019-2024
Quantitative BioSciences
2023
University Hospital of Zurich
2019-2021
Al-Azhar University
2021
McMaster University
2021
Aswan University
2021
Alexandria University
2016-2020
National Research Centre
2020
Background: Rheumatoid arthritis (RA) is chronic systematic disease that affects people during the most productive period of their lives. Web-based health interventions have been effective in many studies; however, there little evidence and few studies showing effectiveness online social support especially gamification on patients' behavioral outcomes. Objective: The aim this study was to look into effects a intervention included features physical activity, care utilization, medication...
Background: Chronic back pain (CBP) represents a significant public health problem. As one of the most common causes disability and sick leave, there is need to develop cost-effective ways, such as Internet-based interventions, help empower patients manage their disease. Research has provided evidence for effectiveness interventions in many fields, but it paid little attention reasons why they are effective. Objective: This study aims assess impact interactive sections an self-management...
Base editors are chimeric ribonucleoprotein complexes consisting of a DNA-targeting CRISPR-Cas module and single-stranded DNA deaminase. They enable transition C•G into T•A base pairs vice versa on genomic DNA. While have great potential as genome editing tools for basic research gene therapy, their application has been hampered by broad variation in efficiencies different loci. Here we perform an extensive analysis adenine- cytosine library 28,294 lentivirally integrated genetic sequences...
Heart failure (HF) is one of the leading causes hospital admissions in US. Readmission within 30 days after a HF hospitalization both recognized indicator for disease progression and source considerable financial burden to healthcare system. Consequently, identification patients at risk readmission key step improving management patient outcome. In this work, we used large administrative claims dataset (1) explore systematic application neural network-based models versus logistic regression...
Video content is routinely acquired and distributed in digital format. Therefore, it customary to have the encoded multiple times. In this paper we consider a processing chain of two coding steps propose method that aims at identifying type codec used first step, by analyzing its coding-based footprints. The relies on fact lossy an almost idempotent operation, i.e., re-encoding reconstructed sequence with same parameters produces highly correlated input one. As consequence, possible analyze...
One of people's major motives for going online is the search health-related information. Most consumers start their with a general engine but are unaware fact that its sorting and ranking criteria do not mirror information quality. This misconception can lead to distorted outcomes, especially when processing characterized by heuristic principles resulting cognitive biases instead systematic elaboration. As vaccination opponents vocal on Web, chance encountering non‒evidence-based views...
In digital medicine, patient data typically record health events over time (eg, through electronic records, wearables, or other sensing technologies) and thus form unique trajectories. Patient trajectories are highly predictive of the future course diseases therefore facilitate effective care. However, medicine often uses only limited data, consisting from a single small number points while ignoring additional information encoded in To analyze such rich longitudinal new artificial...
The exponential increase in health-related online platforms has made the Internet one of main sources health information globally. quality contents disseminated on been a central focus for many researchers. To date, however, few comparative content analyses pro- and anti-vaccination websites have conducted, none them compared information. objective this study was therefore to bring new evidence aspect by comparing sources. Based past literature evaluation initiatives, 40-categories...
Abstract Background Drug–drug interactions (DDIs) refer to processes triggered by the administration of two or more drugs leading side effects beyond those observed when are administered themselves. Due massive number possible drug pairs, it is nearly impossible experimentally test all combinations and discover previously unobserved effects. Therefore, machine learning based methods being used address this issue. Methods We propose a Siamese self-attention multi-modal neural network for DDI...
As the Internet becomes number one destination for obtaining health-related information, there is an increasing need to identify health Web pages that convey accurate and current view of medical knowledge. In response, research community has created multicriteria instruments reliably assessing online information quality. One such instrument DISCERN, which measures page quality by array features. order scale up use instrument, interest in automating evaluation process building machine...
Abstract Background Patients increasingly turn to search engines and online content before, or in place of, talking with a health professional. Low quality information, which is common on the internet, presents risks patient form of misinformation possibly poorer relationship their physician. To address this, DISCERN criteria (developed at University Oxford) are used evaluate information. However, patients unlikely take time apply these websites they visit. Methods We built an automated...
Viral infection is one of the most important life-threatening animals health.The emergence new viral disease increases demand for therapeutic drugs.Current antiviral drugs have certain limitations treating infection.The objective present study was aimed to use plant extracts olive leaves and natural honey green synthesis zinc oxide (ZnONPs) silver nanoparticles (AgNPs) investigate potential activities against bovine herpesvirus-1(BoHV-1) in vitro vivo.The formation NPs confirmed by visible...
Abstract Background Adenine base editors (ABEs) enable the conversion of A•T to G•C pairs. Since sequence target locus influences editing efficiency, efforts have been made develop computational models that can predict outcomes based on targeted sequence. However, these were trained datasets generated in cell lines and their predictive power for primary cells vivo remains uncertain. Results In this study, we conduct screens using SpRY-ABEmax SpRY-ABE8e 2,195 pathogenic mutations with a total...
Self-reported health literacy measures have seen increased application throughout the last years, among those are brief screeners (BHLS) developed by Chew and colleagues (2004). There has been little systematic research on performance of these across different contexts, including countries languages, to draw conclusions about their predictive power outside United States. This study aimed at replicating original validation BHLS. Receiver operating characteristic (ROC) analysis was applied...
Key exchange is one of the major concerns in cryp-tology. Neural cryptography a recent non-classical paradigm which achieves key by mutual learning between two neural networks that receive same input patterns and update their weights using specific rules. Each weight component network can be seen as random walker space. The walkers move space reflect at boundaries (left right) represent synaptic depth. reflecting cause distance decreases if them hits boundary when common direction chosen...
Abstract Prime editing is a powerful genome technology, but its efficiency varies depending on the pegRNA design and target locus. Existing computational models for predicting prime rates are limited by their focus specific edit types omitting local chromatin environment. In our study, we developed machine learning that predict efficiencies across wide range of up to 15 bp (’PRIDICT2.0’) in different contexts (’ePRIDICT’). Both can be accessed at www.pridict.it .
Neural cryptography deals with the problem of "key exchange" between two neural networks using mutual learning concept. The exchange their outputs (in bits) and key communicating parties is eventually represented in final learned weights, when are said to be synchronized. Security synchronization put at risk if an attacker capable synchronizing any during training process. Therefore, diminishing probability such a threat improves reliability exchanging output bits through public channel....